JP2000067111A - Scheduling device and order production planning system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To suppress the occurrence of deadline delay as little as possible concerning an ordered production system by performing scheduling by calculating the required time while considering the occurrence of any assembly defect in a production process. SOLUTION: This device is provided with a storage device 101 for storing master data containing production process information and work domain information, required time calculating means 102 by jobs for receiving data such as an article or amount for each job and the work domain to be processed and calculating the time required for processing the job while considering the occurrence of the assembly defect based on the master data stored in the storage device 101, intermediate matter allocating means 103 for successively allocating the respective jobs of intermediate or production determined matters forward to the idle time zones of work domains to be processed, and novel production matter allocating means 104 for successively allocating the respective jobs of novel production matters backward to the idle time zones of work domains to be processed so as not to delay the requested completion date of novel production matters.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a scheduling apparatus and an order production planning system, and more particularly to an order production for producing a product based on an item, a quantity, and a delivery date specified by an order from a customer. Scheduling for production in consideration of the occurrence of assembly defects, issuing a production instruction, preventing work delay due to the occurrence of assembly defects, and scheduling apparatus and order for drafting a production plan that meets the delivery date specified by the customer It relates to a production planning system.

[0002]

2. Description of the Related Art Conventionally, in the production of a large number of products on the market, products are produced and stored as product inventory based on a shipping plan or a production plan established in advance, and product inventory is reserved for orders from customers. Prospective production method of delivery was common. However, in the make-to-stock production system, problems occur such that the planned product is far from the actual demand, resulting in an increase in the stock of deceased products or a shortage of product stock to satisfy orders. On the other hand, in recent years, custom-made production methods, mainly for information equipment products, have been receiving orders from customers, then producing specified items in specified quantities and delivering them to customers on specified delivery dates. It is becoming. In the custom production system, only the products required by the customer are produced, so that there is an advantage that unnecessary product inventory is eliminated. In such an order-made production system, it is important to make a production schedule so as to meet a delivery date specified by a customer.

Conventionally, regarding production scheduling,
Many technologies have already been disclosed. For example, Japanese Unexamined Patent Publication
In JP-A-324664 (hereinafter referred to as Known Example 1),
A production process scheduler having a function of assigning priorities according to the total required time required in a series of production processes for each lot at the time of scheduling and allocating to a scheduled line table is disclosed. Further, Japanese Unexamined Patent Application Publication No. 6-199
In Japanese Patent Application Publication No. 24 (hereinafter referred to as Known Example 2), when a load is allocated and scheduled on a daily basis based on the required number of days for each order, and the load is adjusted using the result, the relationship between the load and the order can be easily determined. Discloses a production scheduling device that realizes a display method for grasping the information. Further, in Japanese Patent Application Laid-Open No. 7-14435 (hereinafter referred to as "known example 3"), when a load is simply assigned according to a delivery date, a load is manually adjusted, and a delivery delay occurs. Discloses a production scheduling apparatus having a function of changing the lead time for each order and performing rescheduling. Also, JP-A-8-3145
In Japanese Unexamined Patent Publication No. 26 (hereinafter referred to as Known Example 4), a backward simulation in which input data as production units are arranged in the order of completion schedule, a load is allocated retroactively to the production process from the scheduled completion date, and A forward simulation that assigns loads in the forward direction of the production process is executed as a pair, and by evaluating the difference between the results of both simulations, the arrangement of the input data is adjusted,
A manufacturing management system that repeats simulation is disclosed. In Japanese Patent Application Laid-Open No. 9-134384 (hereinafter referred to as Known Example 5), as a result of scheduling, the evaluation of a delivery delay as a whole is performed using an evaluation function that monotonically increases in accordance with the size of the delivery delay. Discloses a production scheduling system having a function of adopting a schedule that minimizes.

[0004] On the other hand, many inventions relating to scheduling algorithms have been disclosed.
Japanese Patent Application Publication No. 24602 (hereinafter referred to as Known Example 6) discloses an optimal schedule creating apparatus and method for searching for an optimal schedule for all combinations of schedule execution orders using the improved simulated annealing method. . Also, JP-A-5-225203 (hereinafter referred to as Known Example 7), JP-A-6-139250 (hereinafter referred to as Known Example 8), and JP-A-6-195347 (hereinafter referred to as Known Example 9). In Japanese Patent Application Laid-Open No. H11-260, there is disclosed a method and apparatus relating to scheduling applying a search method called a genetic algorithm.

In the above-mentioned known examples 1 to 9, the time required for processing in each production process and each work section constituting the production process uses constant time value data determined for each product or item. The scheduling process is performed based on the data.

In contrast to the above-mentioned known examples, there is also a technique for scheduling by devising the setting of the required time value for processing in each production process and each work section constituting the production process. For example, in Japanese Patent Application Laid-Open No. Hei 5-242103 (hereinafter referred to as "known example 10"), in consideration of the occurrence of failure of equipment used in production, a net allocation time in each work section is set in advance by a margin time called a machine down time. And a scheduling system having a function of assigning a load by overlapping successive jobs before and after a certain range. In the known example 10, the machine down time is obtained by a method of allocation time × average failure time of equipment / average failure occurrence interval. In JP-A-8-215994 (hereinafter referred to as Known Example 11) and JP-A-8-221479 (hereinafter referred to as Known Example 12), a net which is the total of the processing time for scheduling of each facility is described. Add a certain extra time to the lead time,
A factory scheduler and a scheduler support system that can handle irregularities in a production process by performing scheduling using a time value called a work-in-process instruction lead time are disclosed. In the known examples 11 and 12,
The allowance time is set as a constant value for each lot as data or manually input. In JP-A-6-110895 (hereinafter referred to as known example 13) and JP-A-6-110896 (hereinafter referred to as known example 14), after performing a scheduling calculation, a plurality of works are put on a production line. A total required time calculation system for calculating the total required time from the beginning to the end when flowing is disclosed. The total required time according to the known examples 13 and 14 is a value obtained as a result of scheduling, and is not a required time for each process or work section used for scheduling.

[0007]

In an actual production site,
In a production process such as assembly, a defective product may be produced due to a defective component, a poor fit, a defective jig, or a wrong operation. If a defective assembly occurs, take measures such as repairing the defective product on the spot and returning it to a non-defective product, discarding the defective product or moving it to another location, and reassembling the product. Can be In any case, in addition to the initial work quantity, additional work is required for repair and new assembly. As a result, more work time is required than a preset standard work time, thereby causing an overall work delay. If the production scheduling is performed based on the standard operation time value, the operation will be performed later than the scheduling result due to the occurrence of the above-described assembly failure. In the conventional make-to-stock production system, having irregular product factors, such as assembly failure, could be achieved by having a product inventory with a margin of safety. However, in an order-made production system that produces only the required quantity according to the delivery date specified by the customer and has no wasteful product inventory, if assembly delays cause work delays, there is a possibility that delivery delays will directly occur. Yes, bring serious problems. Therefore, in the production scheduling in the custom-made production system, it is necessary to perform processing in consideration of an assembly defect. The problem to be solved by the present invention is to perform scheduling in consideration of occurrence of assembly failure during production in a custom production system,
The purpose is to prevent delivery delays.

[0008] Conventionally known techniques do not provide means or methods for solving the above-mentioned problem of assembly failure. In the known examples 1 to 9, in the scheduling process, the work time in each work section constituting the production process is:
Since a fixed value given in advance is used, when an assembly failure occurs at the production site, there is a high possibility that the work result will be delayed from the scheduling result.

In the known example 10, the required time is calculated in consideration of the machine down time in consideration of the occurrence of equipment failure. However, the required time is based only on the failure characteristics of the equipment, and the production time is reduced. It does not respond to assembly failure during the process. In the case of many information equipment products that use the custom production method, the production process does not involve the use of large-scale equipment, but mainly involves the manual process of assembling the product mainly by humans. Therefore, in a custom production system in which the present invention is effective, occurrence of assembly failure is a more important factor than failure of equipment. Therefore, known example 10
Cannot solve the problem of work delay due to the occurrence of defective assembly.

In the known examples 11 and 12, scheduling is performed by using a time value called a work-in-process instruction lead time obtained by adding a certain margin time to a net lead time.
Although a method corresponding to irregularities in the production process is shown, the margin time value is set to a predetermined value in advance, and the value is calculated in the apparatus in consideration of occurrence of assembly failure. It does not do. Therefore, the preset spare time does not consider the occurrence of assembly failure. Therefore, in the schedulers and scheduler support systems according to the known examples 11 and 12, the scheduling result considering the work delay due to the assembly failure is I can't get it.

In the known examples 13 and 14, means for calculating the total required time after the scheduling process is provided. However, this means only obtains a time value as a scheduling result, and takes into account the occurrence of assembly failure. Since scheduling is not performed using the required time value obtained, a scheduling result in consideration of a work delay due to an assembly failure cannot be obtained as in other known examples.

Accordingly, a technical problem to be solved by the present invention is to solve the problem relating to the defective assembly which could not be solved by the above-mentioned conventional technology. It is an object of the present invention to suppress occurrence of a delivery delay in a custom-made system as much as possible by calculating a required time in consideration of occurrence and scheduling.

[0013]

In order to achieve the above-mentioned object, a scheduling apparatus and an order production planning system according to the present invention have the following configurations.

First, the scheduling apparatus according to the present invention performs scheduling in consideration of occurrence of assembly failure during production in order production for producing a product based on an item, quantity, and delivery date specified in an order from a customer. The production process information such as the work center constituting the production process for each item and the work time and the assembly failure rate for each article of the work distinction, and the work center such as the number of workers and the operation time zone for each work center A storage device for storing master data including information, and data such as items and quantities for each job and work centers to be processed, and the work time for each item of work distinction by item stored in the storage device A required time calculation unit for calculating a required time required for processing the job based on master data including an assembly failure rate and the occurrence of assembly failure. Receives data such as the property number, quantity, and the work start date and time of each work center for work-in-progress properties and unfinished production-complete properties in the production process. Based on the required time of each job calculated by the calculating means and the master data stored in the storage device, the free time zone of the work center where each job of the in-process or production confirmed property is processed is shifted to the front. In-process property allocation means to be sequentially allocated, the in-process or production confirmed properties obtained by the in-process property allocation means, and the completion request date derived from the item, quantity and delivery date specified in the order from the customer And receive data on new production properties based on
Based on the required time of the job calculated by the required time calculation unit for each job as the job in each work section of the relevant property as a job, and the master data stored in the storage device, New production property allocating means for sequentially arranging the new production property in a vacant time zone in which the job is to be processed in a rear-justified manner in time for the completion request date of the new production property.

The in-process property allocating means receives data such as the property number and quantity of the in-process property and the unconfirmed production-determined property in the production process and the date and time of starting work in each work section. Based on the required time of each job calculated by the required time calculating means for each job as the job in the work center as a job, and the master data stored in the storage device, the work in progress is If the work start date and time of the job is the actual value, the job is assigned after the date and time.If the work start date and time is the plan value, the job is sequentially assigned to the free time zone of the work center where the job is processed, with the MSB justified. The fixed property is configured to have a function of sequentially allocating to a vacant time zone of a work center for processing a job of the property in a left justified manner.

In order to calculate the required time in consideration of the additional work time when an assembly failure occurs, the job-specific required time calculation means calculates data such as the item and quantity of each job and the work center to be processed. The quantity Q of the job, the number of the job, Using the work time ST per item of work classified by item, the average repair time RT per item of work classified by item, the assembly failure rate p, and the number N of workers in the work area, It has a function of calculating the required time by the following expression (1) (Q × ST / N) + (p × Q × RT / N) (1) or an expression equivalent to this expression (1). , Configuration.

Further, when the required time is calculated in another pattern, the required time calculation means for each job receives data such as the item and quantity of each job and the work center to be processed, and is stored in the storage device. The quantity Q of the job and the item 1 of the job classified by item are determined based on the master data including the work time per assembly, the defective work rate and the number of workers for each work center. Using the work time per unit ST, the defective assembly rate p, the number N of workers in the work area, and the positive integer k, the required time of the job is calculated by the following equation (1).

[0018]

(Equation 1)

Alternatively, it is configured to have a function of calculating by a mathematical expression equivalent to Equation 1.

Further, the order production planning system according to the present invention includes the above-described scheduling device for transmitting a scheduling result in consideration of an assembly defect to a production site as an instruction, and drafting an order production plan reflecting work results. The storage device includes, in addition to the master data, production property data including an order number, an item, a quantity, and a completion request date;
The in-process property data including the property number and quantity of the in-process property and the unconfirmed production-determined property in the production process and the planned value and actual value of the work start date and time in each work center, and created by the new production property allocating means. Receiving the new order property data including the order number, the item, the quantity and the delivery date, and producing the property based on the delivery date for each order property. Is set as a completion request date, and is used as production property data, and new production property data is created together with data whose production read out from the production property data stored in the storage device is undetermined. A new production property editing means for registering in the production property data stored in the storage device and passing it to the new production property allocating means; Receiving the schedule result created by the new production property allocating means, selecting a property determined as a production instruction from the schedule result, creating production instruction data including an item, a work start date and time, and a work quantity. Of the production property data and production plan data stored in the storage device, the property or job data corresponding to the production instruction data is rewritten to the production determined state, and the job corresponding to the production instruction data is added to the in-process property data. Receives the production instruction means to be registered and the operation result data including the production instruction number collected from the production site, the actual value of the operation start date and time, and the operation quantity at each work center, and stores the production property stored in the storage device. Data of completed property or job among data and in-process property data is rewritten to a completed state, and the storage device And the data of the property or jobs in-process state of the work-in-progress property data stored to and a work record editing means for rewriting the work-in-progress state configuration.

In order to update the value of the defective assembly rate in consideration of the fact that the occurrence rate of the defective assembly changes in time series, the storage device stores the master data, the production property data, and the in-process data. In addition to the property data and the production plan data, assembly failure history data including an assembly failure occurrence quantity for each item is stored, and the work result editing means stores the production instruction number and each work collected from a production site or the like. Receives actual work data including the actual work start date and time, the work quantity, and the assembly failure occurrence quantity in the ward, and completes the completed property and job data among the production property data and work in progress data stored in the storage device. To the completed state, and rewrite the data of the property or job in the in-process state among the in-process property data stored in the storage device to the in-process state,
It has a function of additionally registering the assembly failure history to the assembly failure history data stored in the storage device, and based on the assembly failure history data stored in the storage device, determines the assembly failure rate for each work item. An assembly defect rate setting means for setting and registering in the master data stored in the storage device is provided.

[0022]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing an embodiment of a scheduling device and an order production system according to the present invention, wherein 10 is an order production planning system, 100 is a scheduling device, 101 is a storage device, 102 is a required time calculation unit for each job, Reference numeral 103 denotes a work in progress allocating means, 104 denotes a new production property allocating means, 110 denotes a new production property editing means, 120 denotes a production instruction means, 130 denotes a work result editing means, and 140 denotes an assembly defect rate setting means.

In FIG. 1, a scheduling device 10
0 is the storage device 101 and the required time calculation unit 1 for each job
02, an in-process property allocation means 103, and a new production property allocation means 104.

The storage device 101 stores the following data. Production property data: Data such as order numbers, items, quantities, completion request dates, etc. of in-progress properties in production and properties that are confirmed to be produced but have not yet started production. These data are hereinafter referred to as production property data of a confirmed property), and further, an order number, an item, a quantity, and a completion request date for a property that has already been ordered but has not been decided to be produced. Master data including the data of only the item (hereinafter referred to as production property data of undecided properties): work center that constitutes the production process for each item, the work time per unit and the work defect rate for each work, etc. In-process data including production process information and work center information such as the number of workers in each work center and the operating hours: Work in progress in the production process and production-incomplete properties that have not yet started (ie, fixed properties) object Number, quantity and production planning data, including the planned value and the actual value of the work date and time at the start of each work center: new production property allocation means 1, which will be described later
Data indicating the schedule result created by step 04. Assembly failure history data: Includes the work identification assembly failure occurrence quantity and assembly failure occurrence date and time for each item.

The job-specific required time calculation means 102 receives data such as the item and quantity of each job and the work center to be processed, and stores, in the storage device 101, the work time per unit and the work time per unit for the work distinction for each item. Based on the master data including the rate, the necessary time required for processing the job is calculated in consideration of the occurrence of assembly failure.

The work-in-progress article allocating means 103 is a work-in-progress article such as the article number and quantity of a work-in-progress article in a production process and a production-confirmed article that has not been started (ie, a confirmed article), and a work start date and time in each work area. Receiving data from the storage device 101;
Assuming that the processing in each work section of the property is a job, based on the required time of each job calculated by the required time calculation unit for each job 102 and the master data stored in the storage device 101, Allocate sequentially to the free time zone of the work center where each job is processed, with MSB justified.

The new production property allocating means 104 is a completion request date derived from the assignment result of the fixed property obtained by the in-process property allocating means 103 and the item, quantity and delivery date specified in the order from the customer. And the data of the new production property created by the new production property editing means 110, which will be described later, on the basis of the above. Based on the required time of this job and the master data stored in the storage device 101, each job of the new production property is set in the free time zone of the work center where the job is processed, and the completion request date of the new production property is set. Allocate one after the other so as to be in time.

The order production planning system 10 includes the scheduling device 100, the new production property editing means 110, the production instruction means 120, and the work result editing means 130.
And an assembly failure rate setting means 140.

The new production property editing means 110 receives new order property data including an order number, an item, a quantity, and a delivery date from the outside, and completes the production of the new order property based on the delivery date for each new order property. The date to be completed is set as the completion request date, which is set as a production property, and new production property data is created together with the production property data of the undecided property read from the production property data stored in the storage device 101. Is registered in the storage device 101 as production property data of a confirmed property, and is passed to the new production property allocating means 104 of the scheduling device 100.

The production instructing means 120 receives the schedule result created by the new production property allocating means 104 of the scheduling device 100, selects a property determined as a production instruction from the schedule result, and determines the item, the work start date and time. And production instruction data including the work quantity and, among the production property data, work-in-progress property data, and production plan data stored in the storage device 101, produce data of a property or job corresponding to the production instruction data. Rewrite to fixed state.

The work result editing means 130 is a work result data including a production instruction number collected from a production site and the like, a result value of a work start date and time in each work center, a work start quantity, a work completion quantity, and an assembly failure occurrence quantity. And the storage device 10
In the production property data and the in-process property data stored in No. 1, the data of the completed property and the job are rewritten to the completed state, and the in-process property in the in-process property data stored in the storage device 101 is rewritten. Property and job data in the in-process state.
The assembly failure record is additionally registered in the assembly failure history data stored in.

The defective assembly rate setting means 140 is provided in the storage device 1.
Based on the assembly failure occurrence quantity of the work distinction of each item in the assembly failure history data stored in 01, an assembly failure rate is set in the work distinction of each item and registered in the master data stored in the storage device 101. .

FIG. 2 is a block diagram showing a specific example of the hardware / software configuration of the embodiment shown in FIG. 1. Reference numeral 200 denotes a main body, and 201 denotes a CPU (Central Procedures).
singUnit), 202 is a memory, 203 is an input / output control unit, 204 is a communication control unit, 205 is a display, 20
6 is a keyboard, 207 is a mouse, 208 is an auxiliary storage device, and 209 is a computer.

Referring to FIG. 1, a main body 200 includes a CPU 20 for performing various operations and instructions necessary for the operation of the apparatus and the system.
1. Application programs such as an OS (Operating System), a new production property editing program, a scheduling program, a production instruction program, a work result editing program, and an assembly defect rate setting program which describe the operation contents of a scheduling device and an order production planning system; In addition, a memory 202 for storing data required for each program, an input / output control unit 203 for controlling input / output of data with the outside as necessary, and connection to an external network or connection to a network. A communication control unit 204 that controls communication with another computer.

The main unit 2 is controlled via the input / output control unit 203.
A display 205 for displaying information related to input and output, a keyboard 206 and a mouse 207 are provided as needed. further,
An auxiliary storage device 208 for storing and storing the OS, programs, and data stored in the memory 202 is provided. This enables operation even when a program or data having a content exceeding the capacity of the memory 202 is handled.

Further, it is arranged at a production site or the like, and mainly,
Computer 2 used for inputting work results data, etc.
09 is connected to the main unit 200 via a network, and can transmit and receive data via the communication control unit 204 of the main unit 200.

In the above hardware / software configuration, each block shown in FIG. 1 corresponds to the component shown in FIG. 2 as follows.

The storage device 101 has its function mainly realized by the memory 202 when other blocks execute processing. On the other hand, when storing a large amount of data or when storing fixedly, The function is realized by the auxiliary storage device 208.

Job-specific required time calculating means 102, work-in-progress article allocating means 103, and new production property allocating means 10
4 are an OS and a scheduling program stored in the memory 202 and a CPU that controls them.
201, where the memory 2
02 is referred to or updated.

The functions of the scheduling device 100 are as described above in the storage device 101 and the required time calculating means 10 for each job.
2, realized as a set of functions of the in-process article allocating means 103 and the new production property allocating means 104;
2 is realized by the interaction between the OS and the scheduling program stored in the CPU 2 and the CPU 201 that controls them, and at this time, various data stored in the memory 202 are referred to or updated. .

The function of the new production property editing means 110 is realized by the interaction between the OS and the new production property editing program stored in the memory 202 and the CPU 201 which controls them. Are referred to or updated.

The functions of the production instructing means 120 include an input / output terminal such as a display 205, a keyboard 206 and a mouse 207, an input / output control unit 203 and a memory 202.
Are realized by the interaction between the OS and the production instruction program stored in the memory 202 and the CPU 201 that controls them. At this time, various data stored in the memory 202 are referred to or updated.

The functions of the work record editing means 130 are as follows: an input terminal such as a display 205, a keyboard 206, and a mouse 207; a computer 209 arranged at a production site and connected via a network;
OS stored in the communication control unit 204 and the memory 202
And work result editing program, and CP that controls these
This is realized by the interaction of U201, and at this time, various data stored in the memory 202 is referred to or updated.

The function of the defective assembly rate setting means 140 is realized by the interaction between the OS and the defective assembly rate setting program stored in the memory 202 and the CPU 201 which controls them. Are referred to or updated. Further, depending on the content of the work, an input / output terminal such as the display 205, the keyboard 206, and the mouse 207 and the input / output control unit 203 may be required.

FIG. 3 is a sequence chart showing the processing procedure of this embodiment. However, the length of a line representing each process or data transfer in the drawing does not necessarily correspond to the time length in actual processing.

In the figure, first, upon receiving new order property data, the new production property editing means 110 reads the production property data of the undecided property from the storage device 101,
A process for creating new production property data is performed using the new order property data.
The in-process property data and the master data (production process information and work center information) of the fixed property are read from the storage device 101,
Performs in-process property assignment processing for the fixed property. The new production property editing means 110 and the in-process property assignment means 103
Is not necessarily required to be in the order shown in the figure, and may be arbitrarily determined according to the implementation.

Upon completion of the above-mentioned creation processing, the new production property editing means 110 registers the new production property data, which is the processing result, in the storage device 101 and transfers the new production property data to the new production property allocation means 104.

The work in progress allocating means 103 transfers job data to the job-specific required time calculation means 102 as needed during the work in progress allocating process. Then, the required time by job calculating means 102 performs the calculation processing of the data, and returns the required time by job, which is the processing result, to the in-process property allocating means 103. The work in progress allocating means 103 stores the required time for each job and the storage device 10.
The in-process property allocation process is continued based on the in-process property data read from 1 and the master data. The transfer and processing of such data between the in-process property allocating unit 103 and the required time calculating unit 102 need not always be performed once, but may be performed a plurality of times. When the above process is completed, the in-process property allocation unit 103 passes the in-process property allocation result to the new production property allocation unit 104.

Next, the new production property allocating means 104
New production property data fetched from the new production property editing means 110, in-process property allocation results fetched from the in-process property allocation means 103, and production process information and work center information (master data) stored in the storage device 101 The process for allocating a new property is started by using. At this time, instead of directly reading the production process information and the work center information from the storage device 101, the new production property allocating means 104 uses the production process information and the work already taken into the in-process property allocating means 103 as described above. The ward information may be received from the work in progress allocating means 103 together with the work in progress allocation result. New production property allocation method 1
In the process, the job data is passed to the required-by-job calculation unit 102 as needed. The required time by job calculating means 102 performs a calculation process using the job data, and returns the required time by job as the processing result to the new production property allocating means 104. The new production property allocating means 104 includes the required time for each job, the new production property data fetched from the new production property editing means 110, the in-process property allocation result fetched from the in-process property allocating means 103, production process information, and work center information. (Master data) and the allocation processing of the new property is continued. It should be noted that data transfer and processing between the new production property allocating means 104 and the job-specific required time calculating means 102 need not necessarily be performed once, but may be performed a plurality of times. When the above processing is completed, the new production property allocating means 104 registers the scheduling result, which is the processing result, as the production plan data for the newly ordered property in the storage device 101, and the production instruction means 120.
Pass to.

Upon receiving the scheduling result from the new production property allocating means 104, the production instruction means 120 performs a process of creating work instruction data for the new production property including the item, the work start date and time, the work quantity, and the like. And the obtained production instruction data as production property data, in-process property data, and production plan data.
01 and output to the outside.

The work record editing means 130 fetches work record data from the outside at a certain timing, for example, when all the work in a day is completed, and performs the processing. When the processing is completed, the work result editing unit 130 completes the process, ie, the result of the process,
Edited work result data such as a defect record is registered in the storage device 101 as production property data, in-process property data, and assembly defect history data.

Further, the assembly failure rate setting means 140 receives the assembly failure history data from the storage device 101 and performs the processing. After the processing is completed, the assembly failure rate as the processing result is stored in the storage apparatus 101 as master data. register.

The processing by the work result editing means 130 and the assembly defect rate setting means 140 need not always be performed in the order shown in FIG.

Next, a description will be given of a production process, a property, a job, a required time, and the like in this embodiment.

FIG. 4 is a diagram showing a situation where a job is assigned to a work center based on production property data created based on ordered property (newly ordered property) data and production process information registered as master data.

The property data ordered by the customer has, for example, an order number as a key for uniquely identifying each property, and the order number or a number of ordered properties are added together for each order number. Production property data is created for each property number. In this production property data, in addition to the property number, information such as an item, a completion request date, and a quantity are registered. When allocating jobs based on the production property data, reference is made to production process information for each item stored as master data.

In FIG. 4, for example, the article number Y00001
Is 5DL01, and the production process information of the corresponding item is referred to. Here, the production process is a flow of a series of work centers, for example, an item 5DL.
The production process 01 is a work center T where unit assembly work is performed.
B-UNIT1 and work area TB-A for total assembly work
SSY1 and work area TB-PACK1 for packing
It is assumed that the work center is composed of three work centers. The property number Y000 by the scheduling device 100 or the like
When scheduling is performed based on such production property data 01, as shown in FIG. 4, a job of an order property with a property number Y00001 is assigned to each of these work sections. While the property is a unit by property number,
A job refers to each work assigned to each work section of a production process required to complete a property.

In order to perform the scheduling process,
The work time required for each job must be determined based on the production process information and work center information registered as master data. Usually, the work time required to perform the work of the indicated quantity without causing the assembly failure is called a net time. On the other hand, if an assembly failure occurs, repair work or additional work for newly reassembling is required to achieve the specified quantity. Here, the time required for such additional work will be referred to as a defect margin time.

FIG. 5 is a diagram showing the relationship between the net time and the margin time for failure in job allocation. The method of setting the margin time for failure in scheduling differs depending on the way of dealing with assembly failure at the production site.

FIG. 6 is a diagram showing a method of setting a net time T and a defect allowance time τ in the case of repairing and completing a defective part when an assembly defect occurs.

In the figure, the net time T of the work section TB-UNIT1 of the property Y00001 is Q, the designated quantity of the production property is Q, the work time per piece is ST, and the number of workers is N.
Then, T = Q × ST / N (1) is calculated. On the other hand, the defect margin time τ can be obtained by the following equation, where p is the probability of assembly failure (assembly failure rate) and RT is the average repair time per defective product: RT = p × Q × RT / N. This makes use of the fact that the average number of defective products out of working on Q articles is p × Q. As described above, the work center TB-UN of the property Y00001
The required time for Q articles in IT1 is obtained by T + τ = (Q × ST / N) + (p × Q × RT / N) (2)

FIG. 7 shows the net time T and the defect in the case where a part rejected due to the occurrence of a defective assembly is discarded or moved to another place without being repaired on the spot and newly reassembled. FIG. 6 is a diagram illustrating a setting method of a margin time τ.

In this case, the designated quantity Q is achieved by newly adding the same number of articles as the number of defective articles. Designated quantity Q at which work is performed first
The number of defective assemblies generated for individual articles follows a binomial distribution of average p × Q, where p is the percentage of defective assemblies. In the case where a new number of articles equal to the defective portion are newly added and the countermeasures are taken, there is a possibility that a defective assembly may occur according to the binomial distribution every time a new article is input. Therefore, theoretically, it may be necessary to repeatedly add additional times.

In FIG. 7, for example, in a certain work area,
For the first designated quantity Q, q ₁ assembly defective products are generated, and q _1
This shows a repeated situation in which _two defective products are generated and.... At this time, assuming that k is a positive integer, the time required to obtain the expected Q completed products in this work area is expressed by the following equation (1).

[0065]

(Equation 1)

This equation 1 is derived as follows. First,
Assuming that the number of articles to be added i-th time is q _i and its random variable is Q _i , the first article is added to the designated quantity Q (= first input quantity) of the job due to the occurrence of defective products. The probability Pr {Q ₁ = q ₁ } that the input quantity is q ₁ is
It is expressed by the following equation (2).

[0067]

(Equation 2)

Next, assuming that q ₂ defective articles are generated out of the q ₁ additionally input articles, it is assumed that the _second article additional input quantity q ₂ for the defective articles is generated. The quantity q ₂ is of course the first additional input quantity q ₁
Since it is an event under the condition that Q ₁ = q ₁ , the conditional probability Pr ｛Q ₂ = q ₂ │Q ₁ =
q ₁ } is expressed by the following equation (3).

[0069]

(Equation 3)

Therefore, when Equation 2 and Equation 3 are multiplied, _α C _β =
α! / {β! (Α-β)! }, The probability that the _first and _second additional input articles are q ₁ and q ₂ is Pr ｛Q ₁ = q ₁ ,
Q ₂ = q ₂ } is derived as in the following Expression 4.

[0071]

(Equation 4)

[0072] In the number 2, _Q C _q1 = _Q! / {q _1! (Q-
q ₁ )! }, The equation (2) and the equation (4) indicate that the first, second,..., K-th additional input for an arbitrary positive integer k (that is, additional input of articles up to k times) The probability that the article quantity is q ₁ , q ₂ ,..., Q _k is generally expressed by the following equation 5.

[0073]

(Equation 5)

[0074] Further, when the (k + 1) th article add-on of is not required, the conditional probability Pr in (k + 1) th is _{Pr {Q k + 1 = q} k + 1 │Q k = q k} = _Qk C _{qk + 1} p ^{qk + 1} (1
-P) A ^{qk-qk + 1,} when a q _{k +} 1 = 0, because it is ^{_{qk C 0 = p 0 = 1}} , Pr {Q k + 1 = q k + 1 │Q k = q k ｝ = (1−p) ^qk . When this is multiplied by the above equation 5, the probability that no defective assembly will occur at the k-th article input is determined, and is expressed by the following equation 6.

[0075]

(Equation 6)

Here, it is noted that q _k ≧ 0 and q _k−1 ≧ q _k , and Equation 6 is more generally expressed as Equation 7 below regardless of a specific positive integer k. Can be expressed.

[0077]

(Equation 7)

As described above, the expected value of the total additional input quantity Q ^T of the article as a whole is expressed by the following equation (8).

[0079]

(Equation 8)

However, the summation processing of Expression 8 means that the number of additional throws of articles is added in an infinite number of times, and it is impossible to perform the calculation processing strictly and it is not realistic. Therefore, the positive integer k is specified again, and for convenience, it is assumed that the processing of the specified quantity Q of the articles has been completed by adding the articles up to the k-th time, and the total number of the articles as a whole derived in the same manner from Equation 5 above with additionally introduced quantity Q ^T, which is expressed by the following equation 9.

[0081]

(Equation 9)

If the working time of the additional article of the quantity Q ^T is the above-mentioned defect margin time τ, and the working time per article is ST and the number of workers is N as described above, the above equation (1) is obtained. in by the Q and Q ^T, the defect margin time τ is expressed by the following equation 10.

[0083]

(Equation 10)

Further, since the net time T in this case is expressed by the above equation 1 where Q is Q, T = Q × ST / N. Therefore, the specified number Q of articles are completed in this work section. The required time shown in FIG.
Since it is + τ, it is expressed by the above equation (1).

Next, the operation of the scheduling device 100 and the order production planning system 10 in FIG. 1 will be described. First, referring to FIG. 8, the storage device 1 in FIG.
The production process information and the work center information in the master data stored in No. 01 will be described.

In FIG. 8A, the production process information includes
For each item, the name of the item and the work time (min) in the work center for each work center passed to process the item
And an assembly failure rate (%) are registered, and these work centers are set only for the production process. For example, for the item 5DL01, the item name is “System Souch”.
TB-UNIT1, TB-ASS
Y1 and TB-PACK1 are involved. The work time per article in the work area TB-UNIT1 is 12.0 minutes, the assembly failure rate is 0.10%, and the work area TB
-Working time per article in ASSY1 5.
0 minutes, the assembly failure rate is 0.05%, and the work area TB-P
Working time per article in ACK1 is 3.0
The defective assembly rate is 0.00%.

In FIG. 8B, the work center information includes, for each work center, the work center name, the number of workers, the work start time, the work end time, the break start time, and the break end time.
Overtime hours for each year, month, and day are registered. For example, the work center TB-UNIT1 has a work center name of "unit assembly 1", in which five workers are arranged, and at 8:03.
It indicates that working hours are from 0 minutes to 17:00. The break time is from 12:00 to 13:00,
Overtime hours by day from January 8, 998 (0 in the figure)
Is registered.

FIG. 9 is a flowchart showing the processing operation of the new production property editing means 110 in FIG.

In the figure, first, newly ordered property data is read from the outside (step 1001). The new order property data is, for example, a collection of new order property information sent from outside once a day. As a specific example, as shown in FIG. Has an order number as a key, and the item, delivery date, and quantity of the property are registered.

Next, a completion request date is set for each property in the newly ordered property data (step 1002). Here, the completion request date means the date when the property is completed after completing the production process in the factory, and the time taken from delivery of the factory to delivery to the customer is advanced from the delivery date of the property. You can ask. In this embodiment, one working day before the delivery date is set as the completion request date. For example, in FIG. 10, since the delivery date of the property with the order number 00006 is January 24, 1998, the previous day is January 23, 1998.
The date is set as the completion request date.

Next, among the production property data stored in the storage device 101 (FIG. 1), the production property data of an undetermined property whose production instruction has not been determined is read (step 1).
003).

FIG. 11 shows a specific example of the production property data. The production property data includes a property number, an item,
Completed date, quantity, delivery date and status are registered. The property number is a key to uniquely identify each property,
In this embodiment, the order number (FIG. 10) of the newly ordered property data is inherited as it is. As described above, a date one working day before the delivery date is set as the completion request date. In the status column, a flag is set to indicate whether the property is one for which the production instruction has already been confirmed, one for which the production instruction has not yet been confirmed, and one for which all work has been completed.

In the production property data shown in FIG. 11, the properties of property numbers 00001 to 00003 have not been determined, the property of property number 00004 has been determined, and the property number 9 has been determined.
9999 properties have been completed.

In FIG. 9, next, a process of reading only the undetermined property by looking at the status flag in the production property data is performed (step 1003).

Next, new production property data is created by combining the newly ordered property for which the completion request date is set in step 1002 and the undetermined production property data read in step 1003 (step 1004). FIG. 12 shows a specific example of the new production property data created in step 1004, which includes the property number, item, completion request date, quantity, and delivery date.

Finally, this new production property data is registered as production property data in the storage device 101 (step 10).
05), the processing in the new production property editing means 110 ends. At this time, in the new production property data, a property having the same property number as the property registered in the production property data of the storage device 101 is overwritten.

FIG. 13 is a flow chart showing the processing operation of the in-process property allocating means 103 and the required time by job calculating means 102 in FIG.

In the figure, first, the work in progress allocating means 103 reads the work in progress data and the master data stored in the storage device 101 (step 200).
1).

FIG. 14 shows a specific example of the work-in-progress data. The work-in-progress data is a job for each work center for a work determined as a production instruction in the production work data. The work start date and time and the work end date and time are registered.

In FIG. 14, the in-process property data includes the property number, item, work center, quantity, work start date and time, work end date and time, and status of the job. One record of the work-in-progress data is information of a job in each work center. Since the property number is a number set for each production property, it cannot be uniquely specified for each job, but the job is uniquely specified by the property number + work center. Also,
The status column indicates whether the job has been confirmed as a production instruction but has not been started (confirmed), has started but has not been completed (work in progress), or has been completed (completed). Is set.

According to the in-process property data, for example,
Although the job of the work center TB-UNIT1 of the property number 00004 has been completed, the work center TB-PAC of the same property number has been completed.
The job of K1 is a work in progress, and the property number 0000
The job of the work center TB-PACK1 of No. 5 has been confirmed, but has not been started yet.

The contents of the work start date and time and the work end date and time differ depending on the status flag of each job. For a job whose status flag has been determined, the work start date and time is set in the production instruction unit 1.
20 (FIG. 1) indicates the planned date and time, and the work end date and time is in an unregistered state (blank, 0 value, etc.). For a job with a status flag in process, the work start date and time represents the date and time of the result passed from the work result editing unit 130 (FIG. 1), and the work end date and time are in an unregistered state (blank or 0 value, etc.). . For a job whose status flag is completed, both the work start date and time and the work end date and time represent the date and time of the result passed from the work result editing unit 130.

In FIG. 13, the master data read in step 2001 is the same as the production process information and the work center information shown in FIG.

Next, the work in progress allocating means 103 determines whether there is an unallocated job among the jobs whose status flags are in progress in the read work in progress data (step 2002). If there is an unassigned job, the process proceeds to step 2003. If there is no unassigned job, the process proceeds to step 2006.

In step 2003, the work-in-progress article assignment unit 103 selects the job with the earliest work start date and time from the unassigned jobs. Then, the required time by job calculating means 102 calculates the required time of the job selected in step 2003 (step 2004). At this time, the calculation is performed using the above equation (1) with reference to the production process information and the work center information corresponding to the item of the job and the work center. In this case, the calculation is performed with the positive integer k = 1 in the equation (1). For example, the required time of the job (designated quantity Q = 50) of the work center TB-ASSY1 of the article number 00005 is calculated based on the production process information and the work center information based on the work time ST per one article.
= 5.0 min, defective assembly rate p = 0.05%, number of workers N = 2
Is read and calculated as 131.25 minutes.

Next, the in-process property allocating means 103 allocates the required time calculated in step 2004 from the work start date and time of the job in the in-process property data as shown in FIG. 2005), the work end date and time of the job is obtained. For example, property number 0
For the job of the work center TB-ASSY1 of 0005, since the work start date and time is 16:30 on January 20, 1998, it is necessary to allocate the required time (131.25 minutes) previously calculated to the operation time zone. As a result, the work end date and time is 19
It is obtained as 10:12 on January 21, 1998. However,
In the calculation of the date and time, for example, a fraction less than a minute is rounded up.

When the processing in step 2005 is completed, the flow returns to step 2002, and the processing is continued until there are no unallocated jobs among the jobs whose status flags are in progress.
A series of processing of steps 2002 to 2005 is repeated.
By these processes, the job whose status flag is in progress is allocated first.

Next, when there are no unassigned jobs among the jobs whose status flags are in progress, the in-process property allocating means 103 determines the status flags in the in-process property data. It is determined whether there is an unassigned job among the jobs (step 2006). If there is an unassigned job, the process proceeds to step 2007. If there is no unassigned job, a series of processing ends.

In step 2007, the work in progress allocating means 103 selects the job with the earliest work start date and time among the unallocated jobs. Then, the required time calculation unit 102 calculates the required time of the job selected in step 2007 (step 2008). At this time, similarly to the processing in step 2004, the production process information and the work center information corresponding to the item and the work center of the job are referred to,
The required time is calculated using the above equation (1). even here,
In Equation 1, calculation is performed assuming that a positive integer k = 1. For example, in FIG. 14, the work center TB of the article number 00008
The required time of the UNIT1 job (designated quantity Q = 50) is based on the above-mentioned production process information and work section information, the work time per article ST = 12.0 minutes, and the assembly failure rate p = 0.
10% and the number of workers N = 5 are read in and calculated as 132.00 minutes.

In FIG. 13, next, the in-process property allocating means 103 searches for the earliest allocatable time zone in the work center of the job, and allocates the required time calculated in step 2008 to the time zone (step 200
9). Thus, the work start date and time and the work end date and time of the job are obtained. For example, in FIG. 14, the job of the work center TB-UNIT1 of the property number 00008 is 1
Since the assignment can be made from 8:30 on January 21, 998, the work start date and time is 8:30 on January 21, 1998, and the required time (13
2.00 minutes), and set the work end date and time to 199 minutes.
It is calculated as 10:42 on January 21, 2008. However,
Here, in the calculation of the date and time, fractions less than minutes are rounded up.

When the processing in step 2009 is completed, the flow returns to step 2006, and the processing from step 2006 to step 2006 is repeated until there are no unassigned jobs among the jobs whose status flags are fixed.
The series of processing of 2009 is repeated. Through these processes, all jobs for which the status flag is fixed are allocated.

FIG. 15 shows the in-process article allocating means 10 described above.
FIG. 6 is a diagram illustrating an allocation result obtained by the processing by the job number 3 and the required time calculation unit by job 102.

In FIG. 15, the work area TB-PACK
The job of the property number 00004,00005,00008 is allocated to 1, the job of the property number 00005,00008 is allocated to the work center TB-ASSY1, and the job of the property number 00008 is allocated to the work center TB-UNIT1. The numbers shown at the lower left of the rectangular frames representing the respective jobs represent start times, and the numbers shown at the upper right represent end times. For example, the job in the work center TB-PACK1 of the property number 00008 is 13
That is, it is allocated so that it starts at 54:54 and ends at 16:24.

FIG. 16 is a diagram showing a specific example of data of a work-in-progress article allocation result obtained by the above-described processing by the work-in-progress article allocation means 103 and the required time by job calculating means 102. The assignment result as shown in FIG.
The data is transferred to the new production property allocating means 104 (FIG. 1) in the form as shown in FIG.

FIG. 17 is a flowchart showing the processing operation of the new production property allocating means 104 and the required time by job calculating means 102 in FIG.

In the figure, new production property allocating means 1
04, the new production property data as shown in FIG. 12 created by the new production property editing means 110 (FIG. 1) by the processing shown in FIG. 9 at the time of starting the processing, and the in-process property allocation means 103 The in-process property allocation result data shown in FIG. 16 created by the processing shown in FIG. 13 and the master data shown in FIG. 8 are received. Based on this, new production property allocation means 1
04, first, it is determined whether or not there is an unassigned property in the newly produced property data (step 3001).
If there is an unassigned property, the process proceeds to step 3002. If there is no unassigned property, the process proceeds to step 3008.

In step 3002, the newly-produced property allocating means 104 selects the property with the earliest completion date from the properties that have not been allocated. Then, the newly-produced property allocating means 104 sets the employment end time of the completion request date of the property selected in Step 3002 as the latest completion date and time (Step 3003). Here, the work end time refers to the last work center among the work centers through which the item of the property passes, as shown in FIG.
It is read from the production process information shown in FIG.
Is set as the time obtained by adding the overtime hours of the completion request date to the work end time of the work center from the work center information shown in FIG. In addition, the latest completion date and time is the date and time when the work of all work centers of the property must be completed at the latest, and by making this the same as the work end time of the last work center of the property, At the latest, it will be assigned to be completed within the completion request date.

Next, the new production property allocating means 104
It is determined whether there is an unassigned work center among the work centers through which the item of the property passes (step 3004). If there is an unassigned work center, the process proceeds to step 3005,
If there is no unassigned work center, the process returns to step 3001.

In step 3005, the newly-produced property allocating means 104 selects the last work center in the work center where the item of the property passes. Then, the required time by job calculating means 102 calculates the required time of the work (job) in the work center selected in step 3005 (step 3006). The calculation processing here is the same as the processing in step 2004 or step 2008 in FIG. 13, and refers to the production process information and the work center information corresponding to the item and the work center of the job, and uses the above formula 1 calculate. At this time, in Equation 1, it is assumed that a positive integer k = 1.

Next, the new production property allocating means 104
Before the latest completion date of the job, a latest allocatable time zone is searched for in the work center, and the required time calculated in step 3006 is allocated to the time zone (step 3007). Thus, the work start date and time and the work end date and time of the job are obtained.

When the process of step 3007 is completed, the process returns to step 3004, and the process returns to step 3004 until there is no unallocated work center among the work centers through which the item of the property passes.
A series of processes from to 3007 is repeated.

Returning from step 3004 to step 3001, furthermore, when there is no unassigned property in the new production property data in step 3001, the allocation has been completed for all new production property data. As a result, a scheduling result as shown in FIG. 18 is obtained. FIG. 18 is the same as FIG. 15 except that, among the rectangular frames representing the job, a hatched rectangular frame is assigned as a work in progress.
The white rectangular frame is a job assigned as a new production property.

Finally, new production property allocating means 104
Stores the scheduling result data in the storage device 1
01 (Step 300)
Along with 8), the process is also passed to the production instruction means 120 to end a series of processes.

FIG. 19 is a diagram showing a specific example of the above-mentioned scheduling result data finally obtained by the processing by the new production property allocating means 104 and the required time calculating means 102 for each job.

In the figure, each record shows an allocation result for each job, and a work center, a property number, an item, a quantity, a work start date and time, a work end date and time, and a category are registered in each record. The classification includes three cases: a case where the job has been confirmed as a production instruction but has not been started (confirmed), a case where the job has been started but not completed (in process), and a case where the job has been newly allocated (new). A flag indicating either one is set. For example, the property number 00 of the work center TB-UNIT1
The job 008 is determined, but the job of the property number 00003 in the same work center is a new job. In the calculation of the date and time in the allocation process, fractions less than minutes are rounded up.

FIG. 20 shows the production instruction means 120 in FIG.
5 is a flowchart showing the processing operation of the first embodiment.

At the time of starting the processing, the production instructing means 120 has received the scheduling result data as shown in FIG. 19 created by the new production property allocating means 104 by the processing shown in FIG.

In FIG. 20, first, a property determined as a production instruction is selected from properties included in the scheduling result (step 4001). As a method of selecting the property, a method of directly specifying the property number and a method of selecting based on a work start date and time and a work end date and time can be considered. Here, the work end date and time of the last work center among the work centers through which the item of the property passes is January 1998.
The property that is before March 22 is selected.

Next, among the scheduling results shown in FIG. 19, production instruction data is created for a job having the property number of the property selected in step 4001 (step 4002). Here, for example, processing such as taking a production instruction number for uniquely identifying the production instruction data is performed. Here, the production instruction number is created by adding a property number to the work center of the job.

Next, among the production property data stored in the storage device 101, a confirmation flag is set in the column of the status of the property selected in step 4001 (step 400).
3) The job corresponding to the property selected in step 4001 is additionally registered in the in-process property data stored in the storage device 101 as a finalized job (with a finalization flag set in the status column) (step 4004). ). Then, in the production plan data stored in the storage device 101, a determination flag is set in the column of the job classification having the property number of the property selected in step 4001 (step 4005).
Finally, the production instruction data is output (step 400).
6), a series of processing ends.

FIG. 21 is a diagram showing a specific example of the production instruction data thus obtained.

FIG. 22 shows the work result editing means 1 in FIG.
30 is a flowchart showing a processing operation of No. 30.

In the figure, first, work result data is read (step 5001). The work result data is, for example, result data that is input and transmitted every day from a computer 209 or the like connected to the network in FIG.

FIG. 23 is a diagram showing a specific example of the performance data. Each record shows the performance of each production instruction (job). The production instruction number, item, quantity, work start date and time, and work end are shown. Date and time, input quantity, defective quantity, and status are registered.

In the status column, a flag is set to indicate whether the job has not been started (fixed), has started but has not been completed (work in progress), or has been completed (completed). I have. The contents of the work start date and time and the work end date and time differ depending on the status flag for each job. As for the job whose status flag indicates “Fixed”, the work start date and time and the work end date and time are registered in the plan, and the work start date and time in the production instruction data as shown in FIG. , The same as the work end date and time. For a job whose status flag indicates that the job is in progress, the date and time of the actual result is registered as the work start date and time, and the work end date and time is in an unregistered state (blank or 0 value, etc.). For a job whose status flag indicates completion, the actual start date and time and the actual end date and time are registered.

The input quantity indicates the quantity already input as the job, and the defective quantity is the quantity in which the assembly defect has occurred among the input quantities. Therefore, the value obtained by subtracting the defective quantity from the input quantity is the quantity completed as a good product.

Returning to FIG. 22, a job in which the status flag is in process is searched for, and the status column of the job in the in-process property data stored in the storage device 101 (see FIG. 1).
In step 4), a work in progress flag is set (step 5002), a job whose status is completed is searched for, and a completion flag is displayed in the column of the job status in the work in progress data stored in the storage device 101. (Step 5003), search for a property whose job status is completed for all work centers,
In the production property data stored in the storage device 101, a completion flag is set in the column of the status of the property (step 5004). Finally, work performance data (Fig. 2
From 3), the input quantity and the defective quantity of the work distinction for each item are tabulated for each day, and additionally registered in the assembly defect history data (FIG. 1) stored in the storage device 101 (step 5005),
A series of processing ends.

FIG. 24 is a view showing a specific example of the assembly failure history data stored in the storage device 101. As shown in FIG.

In the drawing, the assembly defect history data has daily input quantity and defect quantity registered in the work distinction for each item, and these are basic data for processing by the assembly defect rate setting means 140 (FIG. 1). .

FIG. 25 is a flowchart showing the processing operation of the assembly defect rate setting means 140 in FIG.

In the figure, first, the assembly failure history data as shown in FIG. 24 stored in the storage device 101 (FIG. 1) is read (step 6001), and the assembly failure rate of the work distinction for each item is calculated (step 6001). Step 6002). This assembly defect rate specifies the period to be calculated, sums the input quantity and the defective quantity of the work distinction for each item registered in the assembly defect history data during this target period, and totals the total defective quantity to the total input quantity. Divided by Then, finally, the value of the assembly defect rate of the work distinction for each item calculated in step 6002 is registered in the production process information (FIG. 8A) of the master data stored in the storage device 101 (step 6003). , A series of processing ends.

As described in detail above, in this embodiment,
Since scheduling is performed in consideration of the occurrence of assembly failure during production and a production instruction is issued, work delay due to the occurrence of assembly failure is prevented, and a production plan is drafted in time for the delivery date specified by the customer.

[0143]

As described above, according to the present invention,
In order production that produces products based on items, quantities, and delivery dates specified by orders from customers, calculate and schedule the required time for each job in consideration of the occurrence of assembly failure during production, and issue a production instruction. Thus, it is possible to prevent a work delay due to the occurrence of an assembly defect and make a production plan that meets a delivery date specified by a customer.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a scheduling device and an order production system according to an embodiment of the present invention.

FIG. 2 is an explanatory diagram showing an example of a hardware / software configuration for realizing a scheduling device and an order production system according to an embodiment of the present invention.

FIG. 3 is an explanatory diagram showing a sequence chart of a process performed by the scheduling device and the order production system according to the embodiment of the present invention.

FIG. 4 is an explanatory diagram showing a state in which a job is assigned to a work center in one embodiment of the present invention.

FIG. 5 is an explanatory diagram showing a relationship between a net time and a margin for defective time in job allocation according to an embodiment of the present invention.

FIG. 6 is an explanatory diagram showing a setting of a net time and a defect margin time in a case where a defective part is repaired and completed according to an embodiment of the present invention.

FIG. 7 shows a setting of a net time and a defect allowance time in a case where a defective part is discarded or moved to another place without being repaired on the spot in one embodiment of the present invention. FIG.

FIG. 8 is an explanatory diagram showing master data stored in a storage device according to an embodiment of the present invention.

FIG. 9 is a flowchart illustrating a processing flow of a newly-produced property editing unit according to the embodiment of the present invention.

FIG. 10 is an explanatory diagram showing newly ordered property data according to an embodiment of the present invention.

FIG. 11 is an explanatory diagram showing production property data in one embodiment of the present invention.

FIG. 12 is an explanatory diagram showing new production property data according to an embodiment of the present invention.

FIG. 13 is a flowchart showing a processing flow of a work in progress allocating means and a required time by job calculating means in one embodiment of the present invention.

FIG. 14 is an explanatory diagram showing work-in-progress data according to an embodiment of the present invention.

FIG. 15 is an explanatory diagram illustrating a job allocation result according to an embodiment of the present invention.

FIG. 16 is an explanatory diagram showing data of a work-in-progress article allocation result in one embodiment of the present invention.

FIG. 17 is a flowchart showing a processing flow of a new production property allocating unit and a job-specific required time calculating unit according to the embodiment of the present invention.

FIG. 18 is an explanatory diagram showing a scheduling result in one embodiment of the present invention.

FIG. 19 is an explanatory diagram showing data of a scheduling result in one embodiment of the present invention.

FIG. 20 is a flowchart illustrating a processing flow of a production instruction unit according to the embodiment of the present invention.

FIG. 21 is an explanatory diagram showing production instruction data in one embodiment of the present invention.

FIG. 22 is a flowchart illustrating a processing flow of a work record editing unit according to the embodiment of the present invention.

FIG. 23 is an explanatory diagram showing work result data in one embodiment of the present invention.

FIG. 24 is an explanatory diagram showing assembly failure history data in one embodiment of the present invention.

FIG. 25 is a flowchart showing a processing flow of an assembly failure rate setting means in one embodiment of the present invention.

[Explanation of symbols]

 Reference Signs List 10 Order production planning system 100 Scheduling device 101 Storage device 102 Required time calculation means for each job 103 Work in progress allocating means 104 New production property allocating means 110 New production property editing means 120 Production instruction means 130 Work result editing means 140 Assembly defect rate setting Means 200 Body 201 CPU 202 Memory 203 Input / output control unit 204 Communication control unit 205 Display 206 Keyboard 207 Mouse 208 Auxiliary storage device 209 Computer connected via network

Claims (11)

[Claims] 1. A scheduling device for assembling and manufacturing a product based on order information of a designated item, a designated quantity, and a designated delivery date relating to a newly ordered property from a customer, wherein the scheduling apparatus forms a production process of the newly ordered property. For each work center, the required time of the job of the new ordered property specified by the order information is calculated so that the completion of the processing of the newly ordered property in the production process is before the delivery date indicated by the order information. Allocating the job of the calculated required time to the vacant time zone of the work center, scheduling the job, and calculating the required time of the job for each work center by the defective assembly rate for the specified item in the work center according to the order information. Wherein the quantity equal to the number of defective assemblies generated according to the order information is set as the required time of the job with respect to the quantity added to the designated quantity of the order information. 2. A scheduling apparatus for assembling and manufacturing products based on order information on a specified item, a specified quantity, and a specified delivery date for a new order from a customer. A work-in-progress property allocating means for allocating a time zone of a job of the production-determined property for each work area forming a production process of the production-determined property, which is a property not yet undertaken, and For each work center in the production process of the property, the required time of the job is calculated for the quantity obtained by adding the quantity equal to the number of defective products generated according to the assembly defect rate in the work center to the quantity specified by the order information. Means for calculating the required time for each job; calculating, for each work center in the production process of the new ordered property, the specified quantity and the specified delivery date of the newly ordered property according to the order information; and calculating the required time for the job Based on the required time of the job in the work center calculated by the means, the in-process property allocating means is such that the processing completion of the newly ordered property in the production process is before the delivery date indicated by the order information. Following the allocated job of the confirmed production property, a time period of the job of the required time calculated for the new ordered property is allocated, and scheduling of assembly production including the confirmed production property and the ordered property is performed. A scheduling device comprising: a production property allocating unit. 3. The job according to claim 1, wherein the designated quantity of the designated item is Q, the work time of a job per article in the work center of the designated item is ST, and the average of the jobs per article is also ST. Assuming that the repair time is RT, the assembly failure rate in the work area is p, and the number of workers in the work area is N, the required time of the job in the work area is (Q × ST / N) + ( p × Q × RT / N). 4. The job-based required time calculating means according to claim 1, wherein the job-based required time calculating means sets the quantity of the job to Q, the work time per unit of the job-specific work classification, and the assembly failure rate to p. , The number of workers in the work center is N and the positive integer is k, and the required time of the job is A scheduling device characterized by calculating as 5. A scheduling apparatus for assembling and manufacturing a product based on order information of a designated item, a designated quantity, and a designated delivery date relating to a newly ordered property from a customer, wherein the production process of the property is performed for each property item. Data including production process information that defines the work sections constituting the work center, the work time per article in the work center, the assembly failure rate, and the like, and work center information that defines the number of workers in each work center, etc. And a storage means for storing at least in-process property data that defines an in-process property in a production process or an unfinished production-determined property item and a specified quantity, a work start date and time in each work center, and the like. When the processing in the work center is a job, and an item is specified by the order information or the work-in-progress data of the storage means, master data for the specified item is read from the storage means. In accordance with the master data, for each work center of the designated item, the quantity equal to the number of defective assembly products according to the assembly defect rate in the work center is changed to the quantity specified by the order information. A job-based required time calculating means for calculating a required time of the job with respect to the added quantity; and reading the work-in-progress property data in the storage means, for each item of the work-in-process property data, and for each work center of the product A work in progress allocating means for allocating a job to a vacant time zone in the work center based on the required time of the job obtained by the job required time calculation means and the work start date and time in the work center in the work in progress data; For each work area in the production process of the new ordered property based on the order information, the work quantity calculated by the job-specific required time calculating means and the designated quantity and designated delivery date of the new ordered property according to the order information. Based on the required time of the job in the ward, the production confirmed property allocated by the in-process property allocating means such that the processing of the newly ordered property in the production process is completed before the delivery date indicated by the order information. The job time zone of the calculated required time of the newly ordered property is assigned to the vacant time zone of the work center following the job of the above, and the assembly production schedule data including the confirmed production property and the ordered property is created. And a new production property allocating means. 6. The job-based required time calculation means according to claim 5, wherein the designated quantity of the designated item is Q, the work time of a job per article in the work center of the designated item is ST, Assuming that the average repair time of each job is RT, the defective assembly rate in the work area is p, and the number of workers in the work area is N, the required time of the job in the work area is (Q × ST / N) + (p × Q × RT / N). 7. The job-based required time calculating means according to claim 5, wherein the job quantity is Q, the job time per unit of job-specific work distinction is ST, the assembly failure rate is p, Assuming that the number of workers in the work center is N and the positive integer is k, the required time of the job is expressed as follows: A scheduling device characterized by calculating as 8. The work-in-progress article allocating means according to claim 5, 6 or 7, wherein the work start date and time of the work center in the work center in the work-in-progress property data is an actual value. When
The job for which the required time for each job is calculated by the required time for each job is assigned after the work start date and time in the work center, and when the work start date and time is a plan value, the required time for each job is calculated. The job for which the required time for each job has been calculated is assigned to the available time zone in the work center in advance, and the required time for each job is calculated for the confirmed production property by the required time for each job calculating means. A scheduling apparatus for allocating the assigned job to a free time zone in the work center. 9. An order production planning system for scheduling assembly production of a product based on order information on a designated item, a designated quantity, and a designated delivery date concerning a new order from a customer, and instructing production based on the scheduling. A scheduling device according to any one of claims 1 to 8, further comprising: receiving new order property data for the order information, and for each new order property, determining the new order property based on a delivery date in the new order property data. New production property editing means for creating new production property data in which the completion request date of the new order property is set in the order property data and supplying the data to the scheduling device as data for scheduling the assembly production of the new order property And, based on the scheduling result obtained by the scheduling device, the production quantity and work period of the newly ordered property And a production instructing means for producing production instruction data for instructing production and outputting it to an assembly site or the like. 10. An order production planning system for scheduling assembly production of a product based on order information on a specified item, a specified quantity, and a specified delivery date of a new order from a customer, and instructing production based on the scheduling. A production property comprising the scheduling device according to any one of claims 5 to 8, wherein the storage device in the scheduling device includes information such as a property number, an item, a quantity, and a completion request date. Data and production plan data, which is a schedule result created by the new production property allocating means in the scheduling device, and stores a delivery date in the order information for each of the new properties based on the order information. New production property data in which the completion request date of the new property is set in the order information based on the New production property editing means for supplying to the new production property allocating means in the juling device and registering it as new production property data in the storage means in the scheduling device; and creating with the new production property allocating means in the scheduling device. A production instruction means for selecting a desired property registered therein from the result of the schedule, creating production instruction data for instructing a production quantity, a work period, and the like of the selected property, and outputting the data to an assembly site or the like; It receives operation result data including the instruction number of the production property, the actual value of the work start date and time at each work center, and the work quantity from the production site, etc. Status of completed property data and job status data in property data Work result editing means for changing the state data of the property or job in the in-process state in the in-process property data stored in the storage means to indicate the in-process state. A custom production planning system characterized by comprising: 11. The storage device according to claim 10, wherein the storage device stores assembly defect history data including a work-specific assembly defect occurrence quantity for each item of the property. , The instruction number of the production property and the actual value of the work start date and time in each work center,
Receiving work result data including the assembly defect occurrence quantity together with the work quantity, and additionally registering the assembly defect result in the assembly defect history data stored in the storage means based on the assembly defect occurrence quantity; and Means for setting an assembly failure rate based on the assembly failure history data stored in the means for each item of the property and for distinguishing between operations and registering the assembly failure rate in the master data stored in the storage means. An order production planning system characterized by being provided.