BOM (Bill of Material) data structured construction method in whole process of product manufacturing and related equipment

Abstract

The invention relates to the field of information technology application, and discloses a product manufacturing whole process BOM data structured construction method and related equipment, and the method comprises the steps: obtaining defect BOM data of an order output result of an ERP system; according to the defect BOM data, data features of ABOM, MBOM and EBOM are reversely analyzed and traced, and an analysis result is obtained; according to the analysis result, the ABOM, the MBOM and the EBOM are reconstructed to obtain a BOM data structure; the BOM data structure transmits the obtained data features to an ERP system, and BOM data structured construction work in the whole product manufacturing process is completed. According to the method, result defect BOM data is output through an enterprise resource planning system, BOM data characteristics in various BOM data driving business operation are reversely analyzed, difference removal, same storage and combination are carried out, a product design source EBOM model is reconstructed, and finally a'three-in-one 'simplified new BOM reconstruction model for driving enterprise business operation based on the source EBOM as a product digital main line is realized.

Description

Technical Field

[0001] The present invention relates to the field of information technology applications, and in particular to a method for constructing BOM data structure in the entire manufacturing process of a product and related equipment. Background Art

[0002] The source EBOM of product design is the baseline data throughout the entire life cycle of product design and manufacturing. The existing BOM data of various products is derived from the source EBOM to generate multiple BOM data of different businesses, namely: manufacturing BOM (MBOM for short) and assembly BOM (ABOM for short), which drives and supports various R&D business processes and IT operations. Since different BOMs are independently created according to their own inherent businesses and processes, the data are not related to each other, but when they are uniformly input into the shared business IT system ERP for operation, there are mutual constraints and entanglements between the data due to the maintenance of different data features and attributes. This asynchronous and independent construction of BOM data technology leads to a large number of data defects when inputting the ERP system for shared output, affecting the accuracy of the physical data of the ERP matching order output results, that is, the data output and input to ERP are very different. The existing BOM data construction process is discrete, complex, time-consuming and labor-intensive based on manual maintenance, and spans a wide range of business domains, with great difficulty and long processes. It involves complex product data feature analysis, and it is also necessary to consider the consistency of multi-business domain BOM and ERP system data, which is the main influencing factor causing the data accuracy to plummet. In addition, the manual maintenance method is far from the level of product digitization, standardization, and normalization, which indefinitely prolongs the product development cycle and seriously affects the normal delivery progress of the product. The present invention attempts to combine the foreign industrial big data ideas to digitize the information in the entire life cycle of domestic aviation products, and establish a BOM data for the entire process of product research and development, design and manufacturing. There is no such application example in the same industry to learn from. It is a digital innovation process design technology for the digital transformation process of aviation products in the industry. Summary of the invention

[0003] In order to overcome the defects of the prior art, the present invention aims to provide a method and related equipment for constructing BOM data structure in the whole process of product manufacturing, so as to solve the technical problem of how to reduce the defects of shared output data of ERP system in the prior art.

[0004] The present invention is achieved through the following technical solutions: In a first aspect, the present invention provides a method for constructing a structured BOM data of the entire manufacturing process of a product, comprising: Obtain defective BOM data from the order output results of the ERP system; According to the defective BOM data, reverse analysis is performed to trace the data characteristics of ABOM, MBOM and EBOM to obtain analysis results; Reconstructing ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The BOM data structure transmits the acquired data features to the ERP system, completing the BOM data structure construction work for the entire product manufacturing process.

[0005] Preferably, in the step of obtaining defective BOM data of the ERP system order output result, the defective BOM data includes product structure affiliation parent-child relationship structure data, component virtual part attribute maintenance data, subassembly / substitute part association and initial matching priority data, various BOM attribute information maintenance complete and valid data of borrowed parts, component material coding, additional BOM data independent of the product, self-made parts and purchased parts association and initial matching priority data, secondary parts and agreement parts association and initial matching priority data, and various view attribute maintenance data of physical component BOM.

[0006] Preferably, in the step of tracing the data features of ABOM, MBOM and EBOM according to the reverse analysis of the defective BOM data to obtain the analysis results, the data feature analysis process of ABOM is as follows: Independently constructed according to source EBOM data, manually handle the initial grouping of various sub-assemblies / alternative parts, the application and maintenance of secondary assembly virtual parts, and the adjustment and transplantation of the affiliation of components that do not conform to the process flow arrangement according to EBOM attribute information; the data feature analysis result of MBOM is that there are obstacles to the recognition and cognition of special category component data; The data feature analysis process of MBOM is as follows: Independently constructed according to the source EBOM data, according to the existing layout manufacturing unit distribution process and component manufacturing characteristics, the data feature analysis results of ABOM are obtained to maintain the component quota and division route attribute information, re-split the local component structure, form cross-manufacturing unit process components, process sub-components, virtual parts application and maintenance, division of labor master unit, collaboration unit, quota information attribute maintenance; The process of analyzing the characteristics of EBOM data is as follows: The analysis results of the basic attributes of EBOM data include BOM line, type, material code, material type, component ID, unit quantity, component category, substitute parts, subassembly, borrowed model, random spare parts, number, view type and project list.

[0007] Preferably, in the step of reconstructing the ABOM, MBOM and EBOM to obtain the BOM data structure according to the analysis result, the ABOM and MBOM are merged with the EBOM, wherein the process of merging the ABOM into the EBOM is as follows: The ABOM data structure is constructed to inherit the EBOM, by adding data attribute feature column configuration in the PSE attribute column of the EBOM product structure manager, and merging ABOM into EBOM: The process of merging MBOM into EBOM is as follows: The MBOM data structure is constructed to inherit the EBOM, and the division of labor, route and quota information related to the production and manufacturing process are added to the PSE attribute column of the EBOM product structure manager, and the MBOM is merged into the EBOM.

[0008] Furthermore, the BOM data structure includes EBOM baseline, MBOM features and ABOM features. The specific reconstruction process is as follows: S1, define EBOM source data logic according to ERP order output requirements; S2, adjust the hierarchical relationship of components that do not conform to the process flow layout in the EBOM source data logic; S3, the attributes of substitute parts / sub-assemblies are pre-set to define the matching first parts; S4, the parent-child relationship of components complies with the process layout of lean manufacturing units; S5, establishing assembly and matching component hierarchy; S6, add product random spare parts data attribute maintenance column; S7, add secondary assembly definition attributes; S8, borrowed components follow the prototype product EBOM data maintenance attributes; S9, the ERP program pre-sets the outbound priority for self-made / purchased standard parts, finished / multi-protocol parts or substitute parts.

[0009] Furthermore, in the step of transmitting the acquired data features to the ERP system, the input and output data of the ERP system correspond to the output data of the BOM data structure.

[0010] In a second aspect, the present invention further provides a system for constructing BOM data structure throughout the entire manufacturing process of a product, which is characterized by comprising: Data acquisition module, used to obtain defective BOM data of order output results from the ERP system; A data analysis module, used to reversely analyze and trace the data features of ABOM, MBOM and EBOM according to the defective BOM data to obtain analysis results; A model reconstruction module, used to reconstruct the ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The data transmission module is used for transmitting the acquired data features of the BOM data structure to the ERP system, so as to complete the BOM data structure construction work of the whole process of product manufacturing.

[0011] In the third aspect, the present invention also provides a mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for structuring BOM data for the entire product manufacturing process as described above are implemented.

[0012] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for constructing a structured BOM data for the entire product manufacturing process as described above.

[0013] In a fifth aspect, the present invention further provides a computer program product, comprising computer instructions, wherein the computer instructions instruct a computing device to execute operations corresponding to the method for constructing a structured BOM data for the entire product manufacturing process as described above.

[0014] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention provides a method for constructing the structured BOM data of the entire manufacturing process of a product, and solves the data association and drives the healthy operation of the business through the reconstruction of the design source engineering BOM. The present invention uses the defective BOM data output by the enterprise resource planning system, reversely analyzes the BOM data characteristics in the business operation driven by various BOM data, removes differences and retains similarities and merges, reconstructs the product design source EBOM model, and finally realizes the "three-in-one" simplified new BOM reconstruction model based on the source EBOM as the product digital main line to drive the enterprise business operation.

[0015] Furthermore, by reverse analyzing the defective BOM data output by the ERP system, the data inconsistencies and errors in ABOM, MBOM and EBOM can be traced and identified, so that corrections and reconstructions can be made, ensuring the consistency and accuracy of BOM data throughout the product life cycle and avoiding production delays, cost overruns and product quality issues caused by data errors.

[0016] Furthermore, the reconstructed source EBOM model, as the product digital main line, can drive the enterprise business operations more effectively. By transferring the optimized BOM data structure back to the ERP system, it can simplify business processes and improve production efficiency and response speed.

[0017] Furthermore, this method solves the association problem between BOM data by eliminating differences and retaining similarities and merging them, so that various types of BOM data can work together more effectively. This enhanced data association helps enterprises achieve cross-departmental collaboration and information sharing, and improve overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a method for constructing a structured BOM data of the entire manufacturing process of a product in an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a system for constructing BOM data structure for the entire product manufacturing process according to an embodiment of the present invention; Figure 3 It is a high-level flow chart of BOM data-driven information flow to physical flow in an embodiment of the present invention; Figure 4 This is a digital link diagram of the reconstructed "three-in-one" new BOM driving service in an embodiment of the present invention. In the figure: 1. Data acquisition module; 2. Data analysis module; 3. Model reconstruction module; 4. Data transmission module. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0020] The present invention is further described in detail below in conjunction with the accompanying drawings: The present invention is the key to the digital transformation of the development of aircraft engine fuel control system products. The core of the reconstruction of BOM data structure is to accurately identify the characteristics of different types of BOM data, and to perform logical innovation reconstruction design between data according to the identified data characteristics, including the association retrieval logic between BOM and ERP system data characteristics, BOM data driving different business operation logic, flat multi-level "parent-child" hierarchical affiliation formed when BOM is constructed, automatic corresponding logical relationship between electronic data and physical information data, ERP system input source BOM data and output physical result BOM data validity judgment logical consistency relationship and technical status management logic. The purpose of the present invention is to provide a method and related equipment for constructing BOM data structure throughout the product manufacturing process to solve the technical problem of how to reduce the defects of shared output data of ERP system in the prior art.

[0021] See also Figure 1and Figure 4 In one embodiment of the present invention, a method for constructing a structured BOM data of the entire manufacturing process of a product is provided, comprising: Step 1, obtain defect BOM data of the order output result of the ERP system; Specifically, the product BOM structure is a structure tree with a "parent-child" hierarchical relationship level established according to parts, assemblies, components, and finished products. When the finished product begins to be physically matched, the corresponding BOM database order file is established according to parts, assemblies, components, and finished products, and the data information is connected and inherited through the structural relationship. When a certain model is put into production, the ERP system order reads the data according to the complete structure information of the product BOM. The data packet corresponding to the order contains a product BOM data with clear hierarchical affiliation, complete information, and conforming to the structural standard of the product technical status output.

[0022] Specifically, according to the ERP system's principle of stratifying BOM data, the physical data of product supporting installation details is read from the ABOM in ERP. Whether the data quality is complete depends on Figure 1 Whether the manual maintenance of each BOM data feature attribute is in place and accurate. Through the analysis of the output defect data, it is concluded that the logical operation characteristics of the ABOM data of the finished product read by the ERP order are mainly the virtual parts relationship in the product components, the replacement parts association relationship (including self-made / purchased / standard / multi-protocol parts) attribute maintenance, coding uniqueness, etc., which include the input information data and the output result physical information data attributes as follows: a) Product structure belongs to parent-child relationship structure setting (inherit EBOM); b) Maintenance of virtual component attributes (inheriting MBOM); c) Subassembly / substitute parts association and initial matching priority setting (inherited EBOM); d) All BOM attribute information of borrowed parts is maintained complete and valid (inherited EBOM); e) Component material coding validity (no redundant / duplicate / invalid code) (inherited EBOM); f) Additional BOM data independent of the product (secondary virtual parts 2Z / random spare parts SJ) (inherited EBOM); g) The relationship between self-made parts and purchased parts and the initial matching priority setting (ERP program control); h) The relationship between secondary parts and agreement parts and the initial matching priority setting (ERP program control); i) Maintenance of various view attributes of physical component BOM (including warehouse / custodian / storage location information) (ERP program control).

[0023] Step 2, based on the defective BOM data, reverse analysis is performed to trace the data features of ABOM, MBOM and EBOM to obtain the analysis results, such as Figure 3 As shown; Specifically, in the step of tracing the data features of ABOM, MBOM and EBOM by reverse analysis based on the defective BOM data to obtain the analysis result, the data feature analysis process of ABOM is as follows: Independently constructed according to source EBOM data, manually handle the initial grouping of various sub-assemblies / alternative parts, the application and maintenance of secondary assembly virtual parts, and the adjustment and transplantation of the affiliation of components that do not conform to the process flow arrangement based on EBOM attribute information; the data feature analysis result of MBOM is that there are obstacles to the recognition and cognition of special category component data; The data feature analysis process of MBOM is as follows: Independently constructed according to the source EBOM data, according to the existing layout manufacturing unit distribution process and component manufacturing characteristics, the data feature analysis results of ABOM are obtained to maintain the component quota and division route attribute information, re-split the local component structure, form cross-manufacturing unit process components, process sub-components, virtual parts application and maintenance, division of labor master unit, collaboration unit, quota information attribute maintenance; The process of analyzing EBOM data features is as follows: The analysis results of the basic attributes of EBOM data include BOM line, type, material code, material type, component ID, unit quantity, component category, substitute parts, subassembly, borrowed model, random spare parts, number, view type and project list.

[0024] Step 3, reconstructing ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; Specifically, the ERP output defect result data analysis results in the significant features of ERP and various BOM data. The product BOM data input is mainly based on EBOM as the baseline data, which contains more comprehensive and integrated basic information. To achieve reconstruction with EBOM as the main data line, it is necessary to integrate the MBOM and ABOM data feature attributes and the ERP output physical data features to form a reconstructed "three-in-one" product new source BOM. The specific implementation methods are as follows: L1, solve the BOM data characteristics in ERP The data feature attribute maintenance of a)~f) in step 1 is set and inherited according to the EBOM initial setting; the data feature maintenance of g)~i) realizes the initial matching logical association relationship between data through ERP system program control; L2, solving ABOM data characteristics The ABOM data structure is completely inherited from the EBOM. By adding the following data attribute feature column configuration in the EBOM product structure manager PSE attribute column, ABOM is merged into EBOM. The details are as follows: L21, secondary assembly (2Z) configuration column; L22, first-match subassembly / alternative parts priority configuration column; L3, solves MBOM data characteristics.

[0025] The MBOM data structure is completely inherited from the EBOM. The division of labor, route, and quota information related to the manufacturing process are added to the PSE attribute column of the EBOM product structure manager. The MBOM is merged into the EBOM. Only the extended attributes are maintained based on the EBOM, which makes the reconstruction simpler and ensures the uniqueness, inheritance, and accuracy of the EBOM data. The details are as follows: L31, add division of labor route and quota information maintenance attribute column; L32, eliminate process sub-assemblies and components, and replace them with designed virtual parts and components L33, definition of virtual components of affiliation class in product structure.

[0026] L4, EBOM data re- By analyzing the data attribute characteristics of ERP, ABOM and MBOM, we can solve and ensure the integrity and accuracy of ERP output data, and truly realize the continuity and association of BOM data ( Figure 2 ), the EBOM data structure needs to be adjusted and optimized, and the new BOM model is reconstructed as: EBOM baseline + MBOM features + ABOM features, forming a "three-in-one" new BOM after reconstruction. The specific implementation steps are as follows: L41, define EBOM source data logic according to ERP order output requirements; L42, adjust the hierarchical relationship of components that do not conform to the process flow layout in the EBOM source data logic; L43, the attributes of substitute parts / sub-assemblies are pre-set to define the matching first parts; L44, the parent-child relationship of components complies with the process layout of lean manufacturing units; L45, establish assembly and matching component hierarchy; L46, add product random spare parts data attribute maintenance column; L47, add secondary assembly definition attributes; L48, borrowed components follow the prototype product EBOM data maintenance attributes; L49, the ERP program pre-sets the outbound priority for self-made / purchased standard parts, finished / multi-protocol parts or substitute parts.

[0027] Step 4: The BOM data structure transmits the acquired data features to the ERP system to complete the BOM data structure construction work for the entire product manufacturing process.

[0028] Specifically, the input and output data of the ERP system corresponds to the output data of the BOM data structure.

[0029] By selecting BOM data of multiple types of representative products, ERP receives the reconstructed "three-in-one" new BOM as the input data of the finished product, and compares it with the physical order result data output by ERP. The input and output BOM data of the front and back ends of ERP are consistent, accurate, and complete, and meet the technical status output requirements, and no defective data is generated.

[0030] Through the ERP program control settings, the ERP system extracts relevant information from BOM data according to different business attributes. If you need to execute a production plan, read the basic information of the BOM and extract attribute information with route division, quota and other related businesses, so that the production plan can be issued and scheduled; read the BOM data attribute information of the finished product, and you can know the inventory status, missing parts information, and the urgency of the plan in advance. High-quality and accurate data can effectively drive business operations. The reading of different business data realizes the connection between BOM data and multiple IT systems with product material codes and component IDs as unique identifiers.

[0031] This embodiment first needs to establish BOM data and ERP system operation BOM data characteristics, and establish a product design source BOM data component structure tree; then complete the product BOM structured data feature attribute design and maintenance, including MBOM and ABOM data feature related attributes; parse the structured BOM data into an XML format data file that can be recognized and re-parsed by the information system; parse the file into a structured data model containing complete data feature attribute information in the information system, and convert the data model into a standard operation interface according to human-computer interaction requirements; input the information in the structured BOM data model into ERP, and the data converted by the ERP system logical operation is the actual result BOM data output, forming a supporting file resume form for the product, and continue to input this data into various related IT business systems to continuously carry out BOM data-driven business operations.

[0032] In summary, the present invention provides a method for constructing BOM data structure throughout the entire product manufacturing process, which effectively solves the problem of digitizing product information during the entire life cycle of R&D, design and manufacturing of my country's military aviation engine fuel control systems, and makes all kinds of process information and quality record information generated during the development process electronic, structured and standardized, providing reliable data support for the company's product technology innovation, production management optimization and improvement, quality traceability analysis, troubleshooting, cost analysis, etc.

[0033] The present invention has been fully applied to all aviation models under development and in production by the enterprise. Through the practical application of the patented technical method, BOM data construction, transplantation, and unlimited reuse can be realized instantly and quickly; in promoting the development of scientific research projects, the solution of product BOM data problems has greatly improved the data accuracy, and has been continuously promoted and fully applied in the development and batch production of more than 150 models, effectively shortening the R&D cycle and driving the efficiency of various business domains to improve together; compared with the traditional manual maintenance and construction mode, the efficiency is improved by 90%, and the data accuracy rate reaches 100%, ensuring the inheritance, accuracy and consistency of the source data, improving the efficiency of BOM data construction, and effectively accelerating the rapid digital transformation capabilities of enterprise products. It is of great significance to meet the customer's requirements for the short, flat and fast cycle characteristics of the development model, and it is also the need for national defense construction, heavy weapon equipment development, and aviation and aerospace technology development.

[0034] The present invention has been extended to the construction of various product models such as aerospace / civilian products in enterprises, and the BOM data features have been customized in the structured assembly process MBD information project, realizing the synchronous application and quick construction of the three assembly plants of the enterprise.

[0035] The present invention is also applicable to the research, development, design and manufacturing of digital transformation products for other aviation and non-aviation products.

[0036] Example 2 according to Figure 2 As shown, the present invention also provides a product manufacturing whole process BOM data structured construction system, including: Data acquisition module 1, used to obtain defect BOM data of order output results of ERP system; Data analysis module 2, used to reversely analyze and trace the data features of ABOM, MBOM and EBOM according to the defective BOM data to obtain analysis results; A model reconstruction module 3, used to reconstruct the ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The data transmission module 4 is used for transmitting the acquired data features of the BOM data structure to the ERP system, so as to complete the work of constructing the BOM data structure in the whole process of product manufacturing.

[0037] Example 3 The present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, such as a program for structuring BOM data of the entire product manufacturing process.

[0038] When the processor executes the computer program, the steps of the method for constructing the structured BOM data of the entire product manufacturing process are implemented, for example: Obtain defective BOM data from the order output results of the ERP system; According to the defective BOM data, reverse analysis is performed to trace the data characteristics of ABOM, MBOM and EBOM to obtain the analysis results; Reconstructing ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The BOM data structure transmits the acquired data features to the ERP system, completing the BOM data structure construction work for the entire product manufacturing process.

[0039] Alternatively, when the processor executes the computer program, the functions of each module in the above system are realized, for example: Data acquisition module 1, used to obtain defect BOM data of order output results of ERP system; Data analysis module 2, used to reversely analyze and trace the data features of ABOM, MBOM and EBOM according to the defective BOM data to obtain analysis results; A model reconstruction module 3, used to reconstruct the ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The data transmission module 4 is used for transmitting the acquired data features of the BOM data structure to the ERP system, so as to complete the work of constructing the BOM data structure in the whole process of product manufacturing.

[0040] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the mobile terminal.

[0041] For example, the computer program may be divided into a data acquisition module 1, a data analysis module 2, a model reconstruction module 3, and a data transmission module 4; The specific functions of each module are as follows: Data acquisition module 1, used to obtain defect BOM data of order output results of ERP system; Data analysis module 2, used to reversely analyze and trace the data features of ABOM, MBOM and EBOM according to the defective BOM data to obtain analysis results; A model reconstruction module 3, used to reconstruct the ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The data transmission module 4 is used for transmitting the acquired data features of the BOM data structure to the ERP system, so as to complete the work of constructing the BOM data structure in the whole process of product manufacturing.

[0042] The mobile terminal may be a computing device such as a desktop computer, a notebook, a palm computer, a cloud server, etc. The mobile terminal may include, but is not limited to, a processor and a memory.

[0043] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the mobile terminal, and uses various interfaces and lines to connect various parts of the entire mobile terminal.

[0044] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the mobile terminal by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0045] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0046] Example 4 The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the method for constructing a structured BOM data for the entire product manufacturing process.

[0047] If the module / unit integrated in the mobile terminal is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0048] Based on this understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned aggregate reinforcement learning resource scheduling method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0049] The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0050] It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0051] Example 5 A computer program product includes computer instructions, wherein the computer instructions instruct a computing device to execute operations corresponding to the method for constructing a structured BOM data for the entire product manufacturing process as described above.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for constructing BOM data structure in the whole process of product manufacturing, characterized in that: include: Obtain defective BOM data from the order output results of the ERP system; According to the defective BOM data, reverse analysis is performed to trace the data characteristics of ABOM, MBOM and EBOM to obtain analysis results; Reconstructing ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The BOM data structure transmits the acquired data features to the ERP system, completing the BOM data structure construction work for the entire product manufacturing process.

2. The method for constructing a structured BOM data of the entire manufacturing process of a product according to claim 1, characterized in that: In the step of obtaining defective BOM data of the ERP system order output result, the defective BOM data includes product structure affiliation parent-child relationship structure data, component virtual part attribute maintenance data, subassembly / substitute part association and initial matching priority data, various BOM attribute information maintenance complete and valid data of borrowed parts, component material coding, additional BOM data independent of the product, self-made parts and purchased parts association and initial matching priority data, secondary parts and agreement parts association and initial matching priority data, and various view attribute maintenance data of physical component BOM.

3. The method for constructing a structured BOM data of the entire product manufacturing process according to claim 1, characterized in that: In the step of tracing the data features of ABOM, MBOM and EBOM according to the reverse analysis of the defective BOM data to obtain the analysis results, the data feature analysis process of ABOM is as follows: Independently constructed according to source EBOM data, manually handle the initial grouping of various subassemblies / alternative parts, the application and maintenance of secondary assembly virtual parts, and the adjustment and transplantation of the affiliation of components whose processability does not conform to the process flow arrangement according to EBOM attribute information; The result of MBOM data feature analysis is that there are obstacles in identifying and recognizing data of special categories of components; The data feature analysis process of MBOM is as follows: Independently constructed according to the source EBOM data, according to the existing layout manufacturing unit distribution process and component manufacturing characteristics, the data feature analysis results of ABOM are obtained to maintain the component quota and division route attribute information, re-split the local component structure, form cross-manufacturing unit process components, process sub-components, virtual parts application and maintenance, division of labor master unit, collaboration unit, quota information attribute maintenance; The process of analyzing the characteristics of EBOM data is as follows: The analysis results of the basic attributes of EBOM data include BOM line, type, material code, material type, component ID, unit quantity, component category, substitute parts, subassembly, borrowed model, random spare parts, number, view type and project list.

4. The method for constructing a structured BOM data of the entire manufacturing process of a product according to claim 1, characterized in that: In the step of reconstructing the ABOM, MBOM and EBOM according to the analysis results to obtain the BOM data structure, the ABOM and MBOM are merged with the EBOM, wherein the process of merging the ABOM into the EBOM is as follows: The ABOM data structure is constructed to inherit the EBOM, by adding data attribute feature column configuration in the PSE attribute column of the EBOM product structure manager, and merging ABOM into EBOM: The process of merging MBOM into EBOM is as follows: The MBOM data structure is constructed to inherit the EBOM, and the division of labor, route and quota information related to the production and manufacturing process are added to the PSE attribute column of the EBOM product structure manager, and the MBOM is merged into the EBOM.

5. A method for constructing BOM data structure in the whole process of product manufacturing according to claim 4, characterized in that: The BOM data structure includes EBOM baseline, MBOM features and ABOM features. The specific reconstruction process is as follows: S1, define EBOM source data logic according to ERP order output requirements; S2, adjust the hierarchical relationship of components that do not conform to the process flow layout in the EBOM source data logic; S3, the attributes of substitute parts / sub-assemblies are pre-set to define the matching first parts; S4, the parent-child relationship of components complies with the process layout of lean manufacturing units; S5, establishing assembly and matching component hierarchy; S6, add product random spare parts data attribute maintenance column; S7, add secondary assembly definition attributes; S8, borrowed components follow the prototype product EBOM data maintenance attributes; S9, the ERP program pre-sets the outbound priority for self-made / purchased standard parts, finished / multi-protocol parts or substitute parts.

6. The method for constructing a structured BOM data of the entire manufacturing process of a product according to claim 4, characterized in that: In the step of transmitting the acquired data features to the ERP system, the input and output data of the ERP system correspond to the output data of the BOM data structure.

7. A system for constructing BOM data structure in the whole process of product manufacturing, characterized in that: include: Data acquisition module, used to obtain defective BOM data of order output results from the ERP system; A data analysis module, used to reversely analyze and trace the data features of ABOM, MBOM and EBOM according to the defective BOM data to obtain analysis results; A model reconstruction module, used to reconstruct the ABOM, MBOM and EBOM according to the analysis results to obtain a BOM data structure; The data transmission module is used for transmitting the acquired data features of the BOM data structure to the ERP system, so as to complete the BOM data structure construction work of the whole process of product manufacturing.

8. A mobile terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for constructing the BOM data structure of the entire product manufacturing process as described in any one of claims 1-6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for constructing a structured BOM data for the entire manufacturing process of a product as described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising computer instructions, characterized in that: The computer instructions instruct the computing device to execute operations corresponding to the method for constructing BOM data structure for the entire product manufacturing process as described in any one of claims 1-6.

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