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CN110570120A - ERP intelligent ordering method, device, system and storage medium - Google Patents

ERP intelligent ordering method, device, system and storage medium Download PDF

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CN110570120A
CN110570120A CN201910845482.3A CN201910845482A CN110570120A CN 110570120 A CN110570120 A CN 110570120A CN 201910845482 A CN201910845482 A CN 201910845482A CN 110570120 A CN110570120 A CN 110570120A
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ordering
erp
instruction
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voice
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刘慧波
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Oppo Chongqing Intelligent Technology Co Ltd
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Oppo Chongqing Intelligent Technology Co Ltd
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    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/04Manufacturing
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/26Speech to text systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/225Feedback of the input speech
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract

The invention discloses an ERP intelligent ordering method, device, system and storage medium, wherein the method comprises the following steps: receiving a voice ordering instruction; analyzing the voice ordering order to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction. According to the invention, by means of voice instruction and combination with an ERP central system, the ordering operation of the product is automatically realized, the ordering personnel requirement is greatly reduced, the ordering accuracy and efficiency are improved, the core competitiveness of the product is improved, enterprises are helped to finish complex tasks more efficiently, and the labor cost is reduced.

Description

ERP intelligent ordering method, device, system and storage medium
Technical Field
The invention relates to the technical field of enterprise production management, in particular to an ERP intelligent ordering method, device, system and storage medium.
Background
At present, in a process of making a production order of a product (such as a mobile phone) by an ERP (Enterprise Resource planning) system, a worker is usually required to manually convert a Plan sheet into the production order, in the whole process, from the Plan sheet to the production order, a large number of repeated order placing works of a PC (Plan control) and an MC (physical control) are required every day, and all the works need to be manually controlled, so that the work is tedious, the order placing efficiency is low, and errors are easy to occur.
Disclosure of Invention
The invention mainly aims to provide an ERP intelligent ordering method, device, system and storage medium, aiming at improving the efficiency and accuracy of product orders.
in order to achieve the above object, the present invention provides an ERP intelligent ordering method, which comprises:
Receiving a voice ordering instruction;
Analyzing the voice ordering instruction to obtain an analysis result;
And transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction.
Optionally, the ERP intelligent ordering method further includes:
and receiving an ordering result fed back after the ERP central system finishes ordering operation.
Optionally, the ERP intelligent ordering method further includes:
Checking the ordering result;
and if the ordering result is abnormal, modifying the ordering result or reissuing an ordering instruction.
Optionally, the step of analyzing the voice ordering instruction to obtain an analysis result includes:
Matching the voice ordering instruction with a preset instruction template library;
And if the corresponding ordering operation instruction is matched from the preset instruction template library, acquiring the corresponding ordering operation instruction as an analysis result.
Optionally, the step of analyzing the voice ordering instruction to obtain an analysis result includes:
And converting the voice instruction into characters, and performing semantic analysis on the characters to obtain an analysis result.
optionally, the step of transmitting the corresponding order placing operation instruction to the ERP hub system according to the analysis result, and the performing, by the ERP hub system, the corresponding order placing operation according to the order placing operation instruction includes:
and transmitting the corresponding order placing operation instruction to an ERP central system according to the analysis result, retrieving by the ERP central system according to the order placing operation instruction to obtain a plan sheet meeting preset conditions, and converting the plan sheet into a production order.
optionally, the retrieving comprises: a combination of one or more of boolean logic search, word-truncation search, location search, field-definition search, weighted search, and/or clustered search.
Optionally, the step of analyzing the voice ordering instruction to obtain an analysis result further includes:
creating the instruction template library, specifically comprising:
Collecting product types or codes in the ERP and corresponding demand plans;
According to the product type or the code and a corresponding demand plan, making an ordering instruction template;
and matching the corresponding ordering operation instruction for each ordering instruction template, thereby creating and obtaining an instruction template library.
in addition, an embodiment of the present invention further provides an ERP intelligent ordering device, where the ERP intelligent ordering device includes a memory, a processor, and an ERP intelligent ordering program stored in the memory and capable of running on the processor, and when executed by the processor, the ERP intelligent ordering program implements the steps of the ERP intelligent ordering method described above.
In addition, an embodiment of the present invention further provides an ERP intelligent ordering system, including the above-mentioned ERP intelligent ordering device and an ERP central system in communication connection with the ERP intelligent ordering device, where the ERP central system is configured to receive an ordering operation instruction sent by the ERP intelligent ordering device, and perform a corresponding ordering operation according to the ordering operation instruction.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where an ERP intelligent ordering program is stored on the computer-readable storage medium, and when being executed by a processor, the ERP intelligent ordering program implements the steps of the ERP intelligent ordering method described above.
The ERP intelligent ordering method, the device, the system and the storage medium provided by the embodiment of the invention receive the voice ordering instruction; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, so that ordering operation of the product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to complete complex tasks more efficiently, and labor cost is reduced.
drawings
FIG. 1 is a schematic diagram of functional modules of an ERP intelligent ordering device according to the present invention;
FIG. 2 is a flowchart illustrating an exemplary embodiment of an ERP intelligent ordering method of the present invention;
FIG. 3 is a schematic diagram of an interactive interface for ordering documents by voice according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating an ERP intelligent ordering method according to another exemplary embodiment of the present invention;
FIG. 5 is a flowchart illustrating a method for ERP intelligent ordering according to another exemplary embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: ordering instructions are issued by receiving voice; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, so that ordering operation of the product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to complete complex tasks more efficiently, and labor cost is reduced.
The main technical terms related to the embodiments of the present application include:
Here, ERP (Enterprise Resource Plan) is a manufacturing system and Resource planning software of the next generation of MRP II (Enterprise manufacturing Resource Plan). In addition to the functions of production resource planning, manufacturing, finance, sales, procurement, etc. already existing in MRP II, the system also has quality management, laboratory management, business process management, product data management, inventory, distribution and transportation management, human resource management and periodic reporting systems.
ERP is an enterprise information management system which is mainly oriented to the manufacturing industry to carry out integrated management on material resources, capital resources and information resources, integrates the characteristics of discrete production and flow production, is oriented to the global market, covers all leading and supporting capabilities on a supply chain, coordinates all management departments of an enterprise to guide around the market, develops business activities more flexibly or flexibly and responds to market demands in real time. Therefore, the business relationship among the suppliers, the distributors and the manufacturers is redefined, the business and information flow and the organizational structure of the enterprise are reconstructed, and the enterprise has greater activity in market competition.
The ERP system includes the following main functions: supply chain management, sales and marketing, distribution, customer service, financial management, manufacturing management, inventory management, factory and equipment maintenance, human resources, statements, Manufacturing Execution Systems (MES), workflow services, enterprise information systems, and the like. In addition, supplementary functions such as financial investment management, quality management, transportation management, project management, regulations and standards, and process control are included.
In an enterprise, general management mainly includes three aspects: production control (planning, manufacturing), supply chain management or logistics management (distribution, procurement, inventory management) and financial management (accounting, financial management). The three systems are integrated bodies, and have corresponding interfaces, so that the three systems can be well integrated together to manage enterprises.
enterprise supply chain management is the management of enterprise markets, demands, orders, raw material procurement, production, inventory, supply, distribution and shipment, and the like, including every link from production to shipment, and from suppliers to customers. The supply chain is a business circulation system for the enterprise to live, and is the most important subject in the enterprise electronic business management.
production control management is an advanced production and management method with plan as a guide. Firstly, an enterprise determines a total production plan of the enterprise, and the enterprise is subdivided layer by layer through a system and then sent to each department for execution. Namely, the production department produces the product according to the production, and the purchasing department purchases the product according to the production. The method specifically comprises the following steps:
1. And (3) main production planning: it schedules the type and quantity of products to be provided in each future cycle based on production planning, forecasting and customer order input, and it converts the production planning into a product planning, accurate to a detailed schedule of time, quantity after balancing the needs of materials and capacity. Is a schedule of the total activity of the enterprise over a period of time, is a stable plan, and is generated with production plans, actual orders, and forecasts analyzed for historical sales.
2. Planning of material requirements: after the main production plan determines how many final products are produced, the quantity of the products to be produced by the whole enterprise is converted into the quantity of the parts to be produced according to the bill of materials, and the final quantity of the parts to be produced and the quantity of the parts to be produced can be obtained by comparing with the existing stock. This is the plan that the whole department really follows.
3. Capacity requirement planning: the method is a detailed work plan generated after balancing the total work load of all the work centers with the capacity of the work centers after obtaining a preliminary material demand plan, and is used for determining whether the generated material demand plan is a feasible demand plan on the production capacity of an enterprise. The capacity demand plan is a short-term, currently practical, plan.
4. Controlling a workshop: the dynamic operation plan changes along with time, and is to distribute operations to each specific workshop and then carry out operation sequencing, operation management and operation monitoring.
5. manufacturing standard: in planning, a lot of basic information of production is needed, and the basic information is manufacturing standard, including parts, product structures, processes and work centers, which are identified in a computer by unique codes. Wherein:
a. The part code is used for managing material resources and gives unique code identification to each material.
b. The bill of materials is a technical file defining the structure of a product and is used for compiling various plans.
c. the sequence of operations, which describe the processing steps and the order of operations for manufacturing and assembling the product. The method comprises a processing procedure sequence, which indicates processing equipment of each procedure, required rated working hours, wage grade and the like.
d. the work center is a basic unit which is composed of equipment and labor force using the same or similar processes and used for production scheduling, accounting capacity and computing cost.
in the process Of production control management Of an ERP system, in the process Of making a production order Of a product (such as a mobile phone), an MDS (main demand plan) is generally generated according to a sales SOP (sales and operation plan) conversion, then a main plan sheet is generated by the MDS and converted into a Material plan sheet through a demand Of a BOM (Bill Of Material), a worker manually converts the main plan sheet into a production worksheet, converts the production worksheet into a PR (purchase demand) through the Material plan sheet, and then converts the PR into a PO (purchase order), in the whole process, the worksheet from the plan sheet to the production order requires a large number Of repeated work orders from a PC (plan control) to an MC (physical control) every day, and all the workshops need to be manually controlled, so that the workshops are complicated, the work efficiency is low, and mistakes are easy to make.
based on this, the embodiment of the invention provides a solution, ordering is performed in a voice instruction mode, and the product order efficiency and accuracy can be improved.
Specifically, referring to fig. 1, fig. 1 is a schematic diagram of a functional module of the ERP intelligent ordering apparatus of the present invention. The ERP intelligent ordering device can be a device which is independent of a terminal and can perform voice instruction acquisition and data processing, the ERP intelligent ordering device can be borne on the terminal in a hardware or software mode, and the terminal can be a mobile terminal with a voice acquisition function, such as a mobile phone, a tablet personal computer and the like, and can also be a PC terminal. In this embodiment, an ERP intelligent ordering device is carried on the mobile terminal for example.
In addition, the ERP intelligent ordering device can also communicate with an ERP central system, and the ERP central system is used for receiving an ordering operation instruction sent by the ERP intelligent ordering device and carrying out corresponding ordering operation according to the ordering operation instruction. Certainly, in other embodiments, the ERP intelligent ordering device may also integrate the function of the ERP central system, and the ordering operation is independently completed according to the voice instruction.
in this embodiment, the ERP intelligent ordering apparatus at least includes an output module 110, a first processor 120, a first memory 130 and a first communication module 140.
A first operating system and an ERP intelligent ordering program are stored in the first memory 130, and the ERP intelligent ordering device may store the received voice ordering instruction in the first memory 130, or store an analysis result obtained by analyzing the voice ordering instruction in the first memory 130; the output module 110 may be a display screen, a speaker, etc., and the display screen may display related interface information in the ordering process. The first communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external ERP hub system through the first communication module 140, and transmits a corresponding order placing operation instruction to the ERP hub system, and the ERP hub system performs a corresponding order placing operation according to the order placing operation instruction, so that ERP intelligent order placing can be automatically achieved.
The ERP intelligent ordering program in the first memory 130, when executed by the processor, implements the following steps:
Receiving a voice ordering instruction;
Analyzing the voice ordering instruction to obtain an analysis result;
And transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction.
According to the scheme, the order issuing command is received through voice; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, so that ordering operation of the product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to complete complex tasks more efficiently, and labor cost is reduced.
The method embodiments of the present invention are presented based on, but not limited to, the above device architectures.
Referring to fig. 2, fig. 2 is a schematic flow diagram of an exemplary embodiment of the ERP intelligent ordering method of the present invention. In this embodiment, an ERP intelligent ordering method is provided, where the ERP intelligent ordering method includes:
Step S101, receiving a voice ordering instruction;
the execution main body of the method in this embodiment may be an ERP intelligent ordering device, or may also be a mobile terminal such as a mobile phone and a tablet computer, which is exemplified by the mobile terminal in this embodiment. The ERP intelligent ordering software is installed on the mobile terminal, has the functions of voice acquisition and voice processing and is equivalent to a voice assistant application. And the problem solving of the user is facilitated through intelligent interaction of intelligent conversation and instant question and answer.
When the staff need to carry out ordering operation, the ERP intelligent ordering software can be opened, and ordering commands are directly sent out in a voice mode.
The mobile terminal receives a voice ordering instruction through ERP intelligent ordering software, wherein the voice ordering instruction can be an ordering instruction for a certain product code, an ordering instruction for a product at a certain time or a certain time point, and an ordering instruction for a certain task or project.
in addition, after the ERP intelligent ordering software is started, the user can be prompted whether the user needs to order or whether the user needs help on a user interface, as shown in fig. 3, an interactive interface diagram of voice ordering is shown, and the user can speak a voice instruction in a voice mode: "take an order of 7 months and 27 # with help".
Step S102, analyzing the voice ordering instruction to obtain an analysis result;
As an embodiment, the step of analyzing the voice ordering instruction to obtain an analysis result may include:
Matching the voice ordering instruction with a preset instruction template library;
And if the corresponding ordering operation instruction is matched from the preset instruction template library, acquiring the corresponding ordering operation instruction as an analysis result.
in this embodiment, the instruction template library is created in advance, and when the instruction template library is created, as a specific implementation manner, the following scheme may be adopted:
Firstly, collecting product types or codes in the ERP and corresponding demand plans;
And then, according to the product type or the code and the corresponding demand plan, making order instruction templates, and matching corresponding order operation instructions for each order instruction template, thereby creating and obtaining an instruction template library.
Examples are as follows:
for example, if the current production plan of the ERP includes a daily plan, a monthly plan and an annual plan, an order placing template is prepared for the daily plan, the monthly plan and the annual plan, for example, the order placing template of the daily plan is "order placing x days of x months", the order placing template of the monthly plan is "order placing x months", the order placing template of the annual plan is "order placing x years", and so on.
Then, matching the corresponding ordering operation instruction for each ordering instruction template, thereby creating an instruction template library.
when analyzing the voice downward single instruction, semantic analysis is also needed to be performed on the voice downward single instruction to obtain a corresponding instruction meaning. Of course, the voice ordering instruction can also be directly subjected to voice matching to obtain a corresponding ordering operation instruction.
As another embodiment, the step of analyzing the voice ordering instruction to obtain an analysis result may include:
and converting the voice instruction into characters, and performing semantic analysis on the characters to obtain an analysis result.
in other embodiments, the speech analysis may also be implemented using NLP (Natural Language Processing) techniques.
NLP is a sub-domain of Artificial Intelligence (AI). Natural language is the crystal of human intelligence, and natural language processing is one of the more key technologies in artificial intelligence. With the wide application of computers and the internet, the number of natural language texts which can be processed by computers increases unprecedentedly, the application requirements of text mining, information extraction, cross-language information processing, man-machine interaction and the like facing mass information increase rapidly, the natural language processing technology is applied more and more widely, and NLP can be realized based on Java, C, Python and the like.
And S103, transmitting the corresponding ordering operation instruction to an ERP (enterprise resource planning) central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction.
In this embodiment, the ERP intelligent ordering software relies on the mobile terminal, is connected to the ERP central system through the wireless access technology, communicates with the ERP central system, and transmits the corresponding ordering operation instruction to the ERP central system, and the ERP central system performs the corresponding ordering operation according to the ordering operation instruction, so that the ERP intelligent ordering can be automatically realized.
Among them, the radio access technology (also called air interface) is a key issue for wireless communication. It is used to connect the user terminal with the network node through the wireless medium to realize the information transmission between the user and the network. The signals transmitted by the radio channel should follow certain protocols, which constitute the main content of the radio access technology. One important difference between wireless and wireline access technologies is that mobile access services can be provided to users. The radio access network refers to an access technology for connecting a user and a switching center partially or completely by using a transmission medium, i.e., radio waves. In a communication network, positioning of a wireless access system: is part of a local communication network, and is an extension, supplement and temporary emergency system of the local wired communication network.
in this embodiment, the ERP hub system refers to a core control part of the ERP system, and the ERP hub system can implement the system unified management of production control (planning, manufacturing), supply chain or logistics (distribution, procurement, inventory management), finance, and the like of the ERP.
when the ERP central system receives an instruction transmitted by the voice assistant, namely ERP intelligent ordering software, the ERP central system immediately screens information meeting conditions according to a retrieval technology.
in concrete implementation, after the mobile terminal obtains a voice analysis result, a corresponding ordering operation instruction is transmitted to the ERP central system according to the analysis result, the ERP central system searches according to the ordering operation instruction to obtain a plan sheet meeting preset conditions, and the plan sheet is converted into a production order.
the mode of searching by the ERP central system according to the order-placing operation instruction includes but is not limited to: a combination of one or more of boolean logic search, word-truncation search, location search, field-definition search, weighted search, and/or clustered search.
The following details various search modes:
1. Boolean logic search
Boolean logic search is a logical assembly of search terms or codes using boolean logic operators, which is the most common technique in modern information search systems. There are three commonly used boolean operators, which are respectively logical OR, logical AND, AND logical NOT.
2. Word-cutting search
Word-cutting retrieval is a technique that is very commonly applied in computer retrieval systems. Due to the word formation characteristics of western languages, the inconsistency of single-plural forms of nouns is often encountered in retrieval; the English-American spelling methods of the words with the same meaning are inconsistent; the word stem is added with prefix and suffix with different properties to derive many similar words, and the like, so that word truncation retrieval is required.
3. location retrieval
The location search is also called full text search and proximity search. Full-text search is a search using natural language in a record, and the logical relationship between words is assembled by a position operator to restrict the relative positions between search words. The method is a technical method which can directly use free words for searching without depending on a theme vocabulary.
4. field-qualified retrieval
The field limited search refers to a search method for limiting search terms to be searched in one or more fields in a database record. In a search system, there are generally two types of fields set by a database for searching: a basic field for expressing the characteristics of the subject matter of the document and an auxiliary field for expressing the external characteristics of the document.
5. Weighted retrieval
Weighted search is a quantitative search technique provided in some search systems. Weighted search is also a basic search means for document search, as well as boolean search, word-truncation search, and the like, but unlike these, weighted search focuses on not determining whether a search word or a character string exists in a database or what is a relationship with another search word or character string, but on determining the degree of influence of the search word or character string on whether a document is hit or not after the search logic is satisfied.
6. Cluster search
Clustering is to classify objects without classification into the same class according to the different intrinsic properties of the objects without knowing the classification.
The ERP central system retrieves a plan sheet meeting the conditions according to the order placing operation instruction and automatically converts the plan sheet into a production order, wherein the information of the production order can comprise: product code to be produced, production time, quantity, production site, ingredient information, and the like.
It should be noted that, in the present embodiment, the automatic ordering flow from the plan sheet to the production order by the ERP is realized, in other embodiments, each link Of the flow Of the ERP for making the production order Of the product may be realized by adopting a voice instruction control mode, for example, the system automatically converts and generates an MDS (main demand plan) according to a sales SOP (sales and operation plan) according to a voice instruction Of a worker, then generates a main plan sheet by the MDS, converts the MDS into a Material plan sheet according to a demand Of a BOM (Bill Of Material), automatically converts the main plan sheet into the production order according to the voice instruction, converts the Material plan sheet into a PR (purchase demand), converts the PR into a PO (purchase order), and completes ordering and production Of the product through full-automatic voice control.
According to the scheme, the order issuing command is received through voice; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, so that ordering operation of the product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to complete complex tasks more efficiently, and labor cost is reduced.
referring to fig. 4, fig. 4 is a schematic flow chart of another exemplary embodiment of the ERP intelligent ordering method of the present invention. Based on the embodiment shown in fig. 2, in this embodiment, the ERP intelligent ordering method further includes:
And step S104, receiving a ordering result fed back after the ERP central system finishes ordering operation.
compared with the embodiment shown in fig. 2, the present embodiment further includes a scheme for obtaining the ordering result.
Specifically, after all current orders are produced, the ERP central system judges, and after determining that no more orders meet the conditions, the ERP central system collects all relevant data information and pushes the data information to a worker of an ERP intelligent ordering software login account so that the worker can know the order production condition.
According to the scheme, the order issuing command is received through voice; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, and receiving an ordering result fed back after the ERP central system finishes ordering operation, so that ordering operation of a product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to finish complex tasks more efficiently, and labor cost is reduced.
referring to fig. 5, fig. 5 is a schematic flow chart of another exemplary embodiment of the ERP intelligent ordering method of the present invention. Based on the embodiment shown in fig. 4, in this embodiment, the ERP intelligent ordering method further includes:
step S105, checking the ordering result;
And step S106, if the ordering result is abnormal, modifying the ordering result or reissuing an ordering instruction.
Compared with the embodiment shown in fig. 4, the present embodiment further includes a scheme of checking the ordering result.
Specifically, after receiving an ordering result fed back after the ordering operation is completed by the ERP central system, the mobile terminal displays the ordering result to a worker through ERP intelligent ordering software, the worker can check whether the pushed data is wrong or abnormal, if the pushed data is wrong or abnormal, the worker can manually modify or reissue the voice command, and when the data is abnormal, the mobile terminal clicks to execute the issuing command to complete the ordering operation.
According to the scheme, the order issuing command is received through voice; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, and receiving an ordering result fed back after the ordering operation is finished by the ERP central system, so that the ordering operation of the product is automatically realized in a voice instruction mode by combining the ERP central system, and a worker only needs to check whether the pushed data is wrong or abnormal, and if the pushed data is wrong or abnormal, the command can be manually modified or reissued, so that the ordering requirement is greatly reduced, the ordering accuracy and efficiency are improved, the core competitiveness of the product is improved, an enterprise is assisted to finish complex tasks more efficiently, and the labor cost is reduced.
In addition, an embodiment of the present invention further provides an ERP intelligent ordering device, where the ERP intelligent ordering device includes a memory, a processor, and an ERP intelligent ordering program stored in the memory and capable of running on the processor, and when executed by the processor, the ERP intelligent ordering program implements the steps of the ERP intelligent ordering method according to the embodiment.
Since the ERP intelligent ordering program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
In addition, an embodiment of the present invention further provides an ERP intelligent ordering system, including the ERP intelligent ordering device according to the embodiment and an ERP central system in communication connection with the ERP intelligent ordering device, where the ERP central system is configured to receive an ordering operation instruction sent by the ERP intelligent ordering device, and perform a corresponding ordering operation according to the ordering operation instruction.
Since the ERP intelligent ordering program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
in addition, an embodiment of the present invention further provides a computer-readable storage medium, where an ERP intelligent ordering program is stored on the computer-readable storage medium, and when being executed by a processor, the ERP intelligent ordering program implements the steps of the ERP intelligent ordering method according to the embodiment.
Since the ERP intelligent ordering program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
Compared with the prior art, the ERP intelligent ordering method, the device, the system and the storage medium provided by the embodiment of the invention receive the voice ordering instruction; analyzing the voice ordering instruction to obtain an analysis result; and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction, so that ordering operation of the product is automatically realized by combining the ERP central system in a voice instruction mode, ordering personnel requirements are greatly reduced, ordering accuracy and efficiency are improved, core competitiveness of the product is improved, an enterprise is assisted to complete complex tasks more efficiently, and labor cost is reduced.
In addition, the scheme of the embodiment of the invention can also be expanded into other various system devices to form wireless network intercommunication and realize real Internet automation operation.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present invention.
the above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (11)

1. An intelligent ordering method for Enterprise Resource Planning (ERP) is characterized by comprising the following steps:
Receiving a voice ordering instruction;
Analyzing the voice ordering instruction to obtain an analysis result;
and transmitting the corresponding ordering operation instruction to an ERP central system according to the analysis result, and carrying out corresponding ordering operation by the ERP central system according to the ordering operation instruction.
2. the ERP intelligent ordering method according to claim 1, wherein the ERP intelligent ordering method further comprises:
And receiving an ordering result fed back after the ERP central system finishes ordering operation.
3. the ERP intelligent ordering method according to claim 2, wherein the ERP intelligent ordering method further comprises:
Checking the ordering result;
and if the ordering result is abnormal, modifying the ordering result or reissuing an ordering instruction.
4. the ERP intelligent ordering method according to claim 1, 2 or 3, wherein the step of analyzing the voice ordering instruction to obtain the analysis result comprises:
Matching the voice ordering instruction with a preset instruction template library;
And if the corresponding ordering operation instruction is matched from the preset instruction template library, acquiring the corresponding ordering operation instruction as an analysis result.
5. The ERP intelligent ordering method according to claim 1, 2 or 3, wherein the step of analyzing the voice ordering instruction to obtain the analysis result comprises:
And converting the voice instruction into characters, and performing semantic analysis on the characters to obtain an analysis result.
6. The ERP intelligent ordering method according to claim 1, 2 or 3, wherein the step of transmitting the corresponding ordering operation instruction to the ERP central system according to the analysis result, and the step of performing the corresponding ordering operation by the ERP central system according to the ordering operation instruction includes:
And transmitting the corresponding order placing operation instruction to an ERP central system according to the analysis result, retrieving by the ERP central system according to the order placing operation instruction to obtain a plan sheet meeting preset conditions, and converting the plan sheet into a production order.
7. the ERP intelligent ordering method according to claim 6, wherein the retrieving includes: a combination of one or more of boolean logic search, word-truncation search, location search, field-definition search, weighted search, and/or clustered search.
8. The ERP intelligent ordering method according to claim 4, wherein the step of analyzing the voice ordering instruction to obtain the analysis result further comprises:
Creating the instruction template library, specifically comprising:
collecting product types or codes in the ERP and corresponding demand plans;
According to the product type or the code and a corresponding demand plan, making an ordering instruction template;
And matching the corresponding ordering operation instruction for each ordering instruction template, thereby creating and obtaining an instruction template library.
9. an ERP intelligent ordering device, which is characterized by comprising a memory, a processor and an ERP intelligent ordering program stored in the memory and capable of running on the processor, wherein the ERP intelligent ordering program is executed by the processor to realize the steps of the ERP intelligent ordering method according to any one of claims 1-8.
10. An ERP intelligent ordering system, comprising the ERP intelligent ordering device of claim 9 and an ERP central system in communication with the ERP intelligent ordering device, wherein the ERP central system is configured to receive an ordering operation instruction sent by the ERP intelligent ordering device, and perform a corresponding ordering operation according to the ordering operation instruction.
11. A computer-readable storage medium having stored thereon an ERP intelligent ordering program which, when executed by a processor, performs the steps of the ERP intelligent ordering method according to any one of claims 1 to 8.
CN201910845482.3A 2019-09-06 2019-09-06 ERP intelligent ordering method, device, system and storage medium Pending CN110570120A (en)

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Application publication date: 20191213