CN112837007B - Supply chain management method, device, equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a supply chain management method, a device, equipment and a storage medium, wherein the supply chain management method comprises the following steps: receiving order information of a user; acquiring aging requirement information of the user according to the order information; selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information; acquiring the actual operation time of the starting node as starting point time; calculating the predicted operation time of the early warning node based on the starting point time; and performing state monitoring on the early warning node, and generating early warning information and sending the early warning information to a target terminal when the early warning node exceeds the predicted operation time and is not completed. The application realizes flexible and accurate control of supply chain aging, and improves order completion timeliness.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for managing a supply chain.
Background
The supply chain is a logistics network consisting of suppliers, manufacturers, warehouses, distribution centers, channel distributors, and the like. In the supply chain management and control process, a plurality of links exist on the business flow, including the processes of platform ordering, client system management, warehouse management, transportation trunk management, transportation collection and distribution center management, transportation and distribution management, later delivery and installation management and the like, the management process of the supply chain is summarized and related to various roles, a plurality of modules and a plurality of exchange systems, and for a ticket and a goods to be ordered from the platform to a receiver and received, each node has an operation time point, and because the links are involved, accurate time for the controlled goods to reach the receiver is difficult to accurately, delay time out and other conditions are easy to occur, so that the user experience is poor.
Disclosure of Invention
The embodiment of the application aims to provide a supply chain management method, a device, equipment and a storage medium, which are used for realizing flexible and accurate management and control of supply chain aging and improving order completion timeliness.
An embodiment of the present application provides a supply chain management method, including: receiving order information of a user; acquiring aging requirement information of the user according to the order information; selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information; acquiring the actual operation time of the starting node as starting point time; calculating the predicted operation time of the early warning node based on the starting point time; and performing state monitoring on the early warning node, and generating early warning information and sending the early warning information to a target terminal when the early warning node exceeds the predicted operation time and is not completed.
In an embodiment, the calculating the predicted operation time of the early warning node based on the starting point time includes: acquiring the cut-off rule information of the user, wherein the cut-off rule information comprises cut-off time and response time; judging whether the starting point time exceeds the cut-off time or not; if the starting point time does not exceed the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time.
In an embodiment, the calculating the predicted operation time of the early warning node based on the starting point time further includes: if the starting point time exceeds the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time and the response time.
In one embodiment, the method further comprises: and storing the actual operation time of all the operation nodes.
A second aspect of an embodiment of the present application provides a supply chain management apparatus, including: the receiving module is used for receiving order information of a user; the first acquisition module is used for acquiring the aging requirement information of the user according to the order information; the selecting module is used for selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information; the second acquisition module is used for acquiring the actual operation time of the starting node as the starting point time; the calculation module is used for calculating the predicted operation time of the early warning node based on the starting point time; and the early warning module is used for carrying out state monitoring on the early warning node, and generating early warning information to be sent to a target terminal when the early warning node exceeds the predicted operation time and is not completed.
In one embodiment, the computing module is configured to: acquiring the cut-off rule information of the user, wherein the cut-off rule information comprises cut-off time and response time; judging whether the starting point time exceeds the cut-off time or not; if the starting point time does not exceed the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time.
In an embodiment, the computing module is further configured to: if the starting point time exceeds the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time and the response time.
In one embodiment, the apparatus further comprises: and the storage module is used for storing the actual operation time of all the operation nodes.
A third aspect of an embodiment of the present application provides an electronic device, including: a memory for storing a computer program; a processor configured to perform the method of the first aspect of the embodiments of the present application and any of the embodiments thereof.
A fourth aspect of an embodiment of the present application provides a non-transitory electronic device readable storage medium, comprising: a program which, when run by an electronic device, causes the electronic device to perform the method of the first aspect of the embodiments of the application and any of its embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an electronic device according to an embodiment of the application;
FIG. 2 is a flowchart of a supply chain management method according to an embodiment of the application;
FIG. 3 is a flow chart illustrating the sub-steps of step 250 in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a supply chain management device according to an embodiment of the application.
Reference numerals:
100-electronic equipment, 110-bus, 120-processor, 130-memory, 400-supply chain management device, 410-receiving module, 420-first acquisition module, 430-selecting module, 440-second acquisition module, 450-calculating module, 460-early warning module, 470-storage module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
In the description of the present application, the terms "first," "second," and the like are used merely for distinguishing between descriptions, and do not denote a ordinal number, nor are they to be construed as indicating or implying relative importance.
In the description of the present application, the terms "comprises," "comprising," and the like, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.
In the description of the present application, the terms "mounted," "disposed," "provided," "connected," and "configured" are to be construed broadly unless otherwise specifically defined and limited. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or through internal communication between two devices, elements, or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Referring to fig. 1, a schematic structural diagram of an electronic device 100 according to an embodiment of the application includes at least one processor 120 and a memory 130, and one processor is illustrated in fig. 1. The processors 120 and the memory 130 are connected through the bus 110, and the memory 130 stores instructions executable by the at least one processor 120, the instructions being executed by the at least one processor 120 to cause the at least one processor 120 to perform a supply chain management method as in the following embodiments.
In one embodiment, processor 120 may be a general-purpose processor including, but not limited to, a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc., a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 120 is a control center of the electronic device 100, connecting various parts of the entire electronic device 100 using various interfaces and lines. Processor 120 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application.
In one embodiment, memory 130 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, including, but not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), static random access Memory (Static Random Access Memory, SRAM for short), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like.
The structure of the electronic device 100 shown in fig. 1 is merely illustrative, and the electronic device 100 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Fig. 2 is a flowchart of a supply chain management method according to an embodiment of the application, which can be executed by the electronic device 100 shown in fig. 1, so as to implement flexible and accurate management of full life cycle aging of a supply chain, and improve order completion timeliness. The method comprises the following steps:
step 210: order information of a user is received.
In the above steps, the user may place an order through the client, and the electronic device 100 may receive order information of the user, which may include, but is not limited to, a customer name, an order number, a receiving address, etc.
Step 220: and acquiring aging requirement information of the user according to the order information.
In the above steps, the user's aging requirement information may include, but is not limited to, an aging type, a node time requirement, and the like, where the aging type refers to a user's accuracy requirement for aging, for example, in days, hours, minutes, and the like, and the node time requirement refers to a user's completion time requirement for one or more job nodes, for example, a warehouse billing time requirement, a dispatch time requirement, an endorsement time requirement, and the like. The aging requirement information may be different for different users and the same user may also be different for different orders.
In an embodiment, the aging requirement information may be input by a user when the user places an order, or may be imported in batch into aging requirement information of different users according to the user requirement, an aging rule base is established, the aging rule base stores user information and aging requirement information corresponding to the user information, after receiving order information of the user, it may be firstly determined whether the order information includes the aging requirement information input by the user, and if the order information does not include the aging requirement information input by the user, the corresponding aging requirement information is obtained in the aging rule base according to the user information in the order information.
In an embodiment, if the order information does not include the aging requirement information input by the user, and the aging rule base does not include the user information, a preset default aging requirement may be obtained as the aging requirement information of the user.
Step 230: and selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information.
In the above steps, the supply chain management may be divided into five modules of client management, order management, warehouse management, transportation management, and mobile terminal management, and each module may include one or more job nodes, for example, the client order management may include: the user order placing node and the order checking node, and the order management may include: an order receiving node and an order placing warehouse node, the warehouse management may include: warehouse billing node, warehouse picking node, warehouse loading node, handing-over completion node, departure node, transportation management can include: the mobile terminal management can comprise a departure node, a dispatch node, a sign-in node and a receipt node.
According to the aging requirement information, selecting a starting node and an early warning node which accord with preset rules from all the operation nodes, wherein the preset rules prescribe the operation nodes which start to calculate the aging and are corresponding to different aging requirement information, and the operation nodes play a key role in controlling the aging. The number of early warning nodes may be one or more.
Step 240: and acquiring the actual operation time of the starting node as the starting point time.
In the above steps, the actual working time may be a starting working time or a working completion time, the starting time refers to a time for starting to calculate the aging, the starting node may be, but not limited to, a user order-placing node, an order-receiving node, an order-placing warehouse node, a warehouse order-placing node, etc., and the starting time may be, but not limited to, a user order-placing time, an order-receiving time, an order-placing warehouse time, a warehouse order-placing time, etc.
Step 250: and calculating the predicted operation time of the early warning node based on the starting point time.
In the step, the operation time of the early warning node is predicted according to the starting point time. The early warning nodes may be, but are not limited to, warehouse pick nodes, warehouse load nodes, hand-over completion nodes, vehicle-to-warehouse nodes, and the like.
Step 260: and performing state monitoring on the early warning node, and generating early warning information to be sent to the target terminal when the early warning node exceeds the predicted operation time and is not completed.
In the above steps, the status of the early warning node is monitored, when the early warning node is completed, the actual operation time is recorded, the node status is updated to be completed, when the early warning node exceeds the predicted operation time and is not completed yet, the early warning information is generated and sent to the target terminal, so that the business personnel can perform priority processing on the abnormal order according to the early warning information, overtime is avoided, and the target terminal comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a desktop computer and the like.
In one embodiment, the supply chain management method may further include: the actual job times for all job nodes are stored.
As shown in fig. 3, which is a schematic flow chart of the substeps of step 250, step 250 in an embodiment of the present application: based on the starting point time, calculating the predicted operation time of the early warning node can comprise the following steps:
step 251: and acquiring the rule information of the cut list of the user.
In the above step, the cut rule information includes cut time and response time. Different cut-off times and response times can be preset according to different users, and unified default cut-off times and response times of the system can be set. The cut-off time and response time may be measured in days, hours or minutes.
Step 252: and judging whether the starting point time exceeds the cut-off time.
In the above step, it is determined whether the start time exceeds the cut time, if the start time does not exceed the cut time, step 253 is executed, and if the start time exceeds the cut time, step 254 is executed.
Step 253: and calculating the predicted operation time of the early warning node based on the starting point time.
In the above steps, after the starting point time is determined according to the service flow, the expected duration of each intermediate link required to be experienced by the early warning node is obtained from a preset node aging database, the expected duration of each link required to be spent is prestored in the node aging database, and the expected duration can be determined and updated periodically according to the historical order aging data. The predicted operation time of the early warning node is equal to the starting point time plus the predicted duration of each intermediate link.
Step 254: and calculating the predicted operation time of the early warning node based on the starting point time and the response time.
In the above steps, the starting time is later than the order of the cut-off time, and when the time prediction is performed, the response time needs to be added on the basis of the starting time, and then the predicted duration of each intermediate link is added.
As shown in fig. 4, a schematic structural diagram of a supply chain management device 400 according to an embodiment of the present application is provided, which can be applied to the electronic apparatus 100 shown in fig. 1, and includes: the system comprises a receiving module 410, a first obtaining module 420, a selecting module 430, a second obtaining module 440, a calculating module 450 and an early warning module 460. The principle relation of each module is as follows:
the receiving module 410 is configured to receive order information of a user.
The first obtaining module 420 is configured to obtain aging requirement information of a user according to order information.
The selecting module 430 is configured to select a starting node and an early warning node that meet a preset rule from all the operation nodes in the supply chain based on the aging requirement information.
The second obtaining module 440 is configured to obtain the actual working time of the starting node as the starting time.
And a calculating module 450, configured to calculate the predicted operation time of the early warning node based on the start time.
The early warning module 460 monitors the state of the early warning node, and generates early warning information to be sent to the target terminal when the early warning node exceeds the predicted operation time and is not completed yet.
In one embodiment, the computing module 450 is configured to: acquiring the rule information of the cut list of the user, wherein the rule information of the cut list comprises cut list time and response time; judging whether the starting point time exceeds the cut-off time or not; if the starting point time does not exceed the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time.
In one embodiment, the computing module 450 is further configured to: if the starting point time exceeds the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time and the response time.
In one embodiment, the supply chain management device 400 further comprises: the storage module 470 is configured to store actual job times of all job nodes.
For a detailed description of the supply chain management device 400, please refer to the description of the related method steps in the above embodiment.
The embodiment of the application also provides an electronic device readable storage medium, which comprises: a program which, when run on an electronic device, causes the electronic device to perform all or part of the flow of the method in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD), etc. The storage medium may also comprise a combination of memories of the kind described above.
In the several embodiments provided in the present application, the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application. Any modification, equivalent replacement, improvement, etc. which are within the spirit and principle of the present application, should be included in the protection scope of the present application, for those skilled in the art.
Claims (6)
1. A supply chain management method, comprising:
receiving order information of a user;
acquiring aging requirement information of the user according to the order information;
selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information;
acquiring the actual operation time of the starting node as starting point time;
calculating the predicted operation time of the early warning node based on the starting point time;
the state of the early warning node is monitored, and when the early warning node exceeds the predicted operation time and is not completed, early warning information is generated and sent to a target terminal;
the calculating the predicted operation time of the early warning node based on the starting point time comprises the following steps:
acquiring the cut-off rule information of the user, wherein the cut-off rule information comprises cut-off time and response time;
judging whether the starting point time exceeds the cut-off time or not;
if the starting point time does not exceed the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time;
if the starting point time exceeds the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time and the response time;
the calculating the predicted operation time of the early warning node based on the starting point time comprises the following steps:
according to the business flow, after the starting point time is determined, obtaining the expected duration of each intermediate link from a preset aging database until the intermediate link which needs to be experienced by the early warning node, and carrying out summation operation on the starting point time and the expected duration of each intermediate link;
the calculating the predicted operation time of the early warning node based on the starting point time and the response time comprises the following steps:
and carrying out summation operation on the starting point time, the response time and the expected duration of each intermediate link.
2. The method according to claim 1, wherein the method further comprises:
and storing the actual operation time of all the operation nodes.
3. A supply chain management device, comprising:
the receiving module is used for receiving order information of a user;
the first acquisition module is used for acquiring the aging requirement information of the user according to the order information;
the selecting module is used for selecting a starting node and an early warning node which accord with a preset rule from all operation nodes of a supply chain based on the aging requirement information;
the second acquisition module is used for acquiring the actual operation time of the starting node as the starting point time;
the calculation module is used for calculating the predicted operation time of the early warning node based on the starting point time;
the early warning module is used for carrying out state monitoring on the early warning node, and generating early warning information to be sent to a target terminal when the early warning node exceeds the predicted operation time and is not completed yet;
the computing module is used for:
acquiring the cut-off rule information of the user, wherein the cut-off rule information comprises cut-off time and response time;
judging whether the starting point time exceeds the cut-off time or not;
if the starting point time does not exceed the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time;
if the starting point time exceeds the cut-off time, calculating the predicted operation time of the early warning node based on the starting point time and the response time;
the calculating the predicted operation time of the early warning node based on the starting point time comprises the following steps:
according to the business flow, after the starting point time is determined, obtaining the expected duration of each intermediate link from a preset aging database until the intermediate link which needs to be experienced by the early warning node, and carrying out summation operation on the starting point time and the expected duration of each intermediate link;
the calculating the predicted operation time of the early warning node based on the starting point time and the response time comprises the following steps:
and carrying out summation operation on the starting point time, the response time and the expected duration of each intermediate link.
4. A device according to claim 3, characterized in that the device further comprises:
and the storage module is used for storing the actual operation time of all the operation nodes.
5. An electronic device, comprising:
a memory for storing a computer program;
a processor configured to perform the method of any one of claims 1 to 2.
6. A non-transitory electronic device-readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 2.
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| CN202110061174.9A CN112837007B (en) | 2021-01-18 | 2021-01-18 | Supply chain management method, device, equipment and storage medium |
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| CN202110061174.9A CN112837007B (en) | 2021-01-18 | 2021-01-18 | Supply chain management method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113919782A (en) * | 2021-10-20 | 2022-01-11 | 广州品唯软件有限公司 | A method and system for monitoring the timeliness of an order full link |
| CN114329196B (en) * | 2021-12-27 | 2022-07-19 | 杭州金线连科技有限公司 | Information pushing method and device, electronic equipment and storage medium |
| CN118096029B (en) * | 2024-04-23 | 2024-08-09 | 宁波安得智联科技有限公司 | Order aging analysis method, device, equipment and computer storage medium |
| CN118555189A (en) * | 2024-07-30 | 2024-08-27 | 深圳市腾盟技术有限公司 | Alarm prompting method, equipment and storage medium based on node abnormality level |
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