A pre-set and then linked method for collaborative pricing and production of printed materials

Abstract

This invention discloses a pre-set and then linked method for collaborative pricing and production of printed materials, belonging to the field of information management technology in the printing industry. It includes acquiring historical production order data from target customers, extracting specifications, process routes, and material information for each order, constructing a dedicated product template library for that customer, responding to receiving current production requirement parameters, synchronously and in parallel executing and responding to the review and confirmation instruction for the optimal production plan, and automatically generating a production work order associated with that production plan. This invention, through an atomic decomposition mechanism, automatically generates a production work order after reviewing and confirming the optimal production plan, and then decomposes it in parallel into three types of atomic documents: material purchase orders, production task orders, and process outsourcing orders. These three documents are associated through the same work order identifier, achieving end-to-end data connectivity from quotation to production, eliminating information silos, making quotation-to-production possible, and significantly shortening the order response cycle.

Description

Technical Field

[0001] This invention relates to the field of information management technology in the printing industry, and in particular to a method for pre-setting and then linking printed product pricing and production coordination. Background Technology

[0002] The printing industry is characterized by "multiple varieties, small batches, and short lead times." Product specifications vary widely, and production processes are complex, making pricing (quotation) and production management consistently challenging aspects of enterprise IT infrastructure development. Traditionally, pricing and production management in printing companies are handled by different departments using different software systems, leading to the following technical problems: First, there is a disconnect between quotation and production data. Pricing personnel calculate costs for paper, printing plates, printing, and post-processing based on customer needs and their personal experience, determining the layout and material selection to generate a quotation. However, once the production department receives the order, it must re-analyze the process, arrange material procurement and outsourcing, and cannot directly reuse the process decisions made during the quotation stage. This results in duplicate data entry, information silos, and is prone to production deviations due to human error.

[0003] Secondly, quoting relies on manual experience and lacks a personalized preset mechanism. Existing quotation systems mostly calculate using general parameters and do not fully utilize historical order data from customers. For new orders from existing customers, it is impossible to quickly retrieve the best historical process solutions, resulting in each quotation requiring calculation from scratch, which is inefficient and makes it difficult to ensure the continuity of quotations.

[0004] Third, the work order breakdown is coarse-grained and lacks coordination. Although existing printing ERP management systems have process breakdown modules, they are mostly based on manual judgment or simple breakdown. They do not clearly and automatically break down approved work orders into three types of atomic documents: material purchase orders, production task orders, and process outsourcing orders, and then generate them in parallel, resulting in a disconnect between the procurement, production, and outsourcing processes.

[0005] Based on this, a pre-set and then linked method for pricing and production coordination of printed materials is proposed. Summary of the Invention

[0006] The purpose of this invention is to solve the problems existing in the prior art by proposing a pre-set and then linked method for pricing and production coordination of printed materials.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: A pre-set and then linked method for pricing and production coordination of printed materials includes the following steps: S1, Preset Stage: Obtain historical production work orders or other similar requirement template data from target customers, extract the specifications, process routes, and material information of each order, and build a customized product template library for that customer; each template in the template library includes at least: fixed loss size, paper weight, number of colors, subsequent process list, and corresponding bill of materials; at the same time, a pre-configured printing industry standard parameter library is provided, which includes: paper specification library, equipment capacity parameter library, process standard flow library, and industry process and spare parts average loss rate library. S2, Dual-mode Parallel Computing and Calibration Phase: In response to receiving the production requirement parameters, execute synchronously and in parallel: First calculation path: Call the matching template in the customer-specific product template library, calculate the quotation and material usage based on the template data, and output the first solution; Second calculation path: Call the industry standard parameter library, calculate the quotation and material usage based on the industry parameters, and output the second solution; The first scheme and the second scheme are compared and calibrated. If the deviation between the two exceeds a preset threshold, the difference analysis is triggered to identify the source of the deviation and output the optimal layout scheme and the optimal production scheme based on the calibration results. S3. Linkage Generation Stage: In response to the approval and confirmation instruction for the optimal production plan, an automatic production work order associated with the production plan is generated, and the production work order is atomically decomposed into the following three types of documents, all of which are associated through the same work order identifier: Material purchase order: generated based on the material requirements list and inventory verification results; Production task sheet: generated based on a self-made process list, categorized by equipment type, and process dependencies are established; Outsourcing order: generated based on the list of outsourced processes and intelligent supplier matching results; S4. Template Adaptive Update Stage: After the production work order is completed, actual production data is collected, including actual material usage, actual loss rate, and actual cost. The actual production data is compared with the preset data of the corresponding template in the customer-specific product template library in S1 to identify the deviation. If the deviation exceeds the preset threshold N times consecutively, a template update will be triggered.

[0008] As a preferred embodiment, the sources of identification deviation mentioned in step S2 specifically include: Compare the differences between the first and second schemes in terms of paper specifications, imposition method, print run per page, and loss rate, and output a difference analysis report; The variance analysis report includes the percentage deviation for each dimension and suggested correction parameters; the percentage deviation is calculated as follows:

[0009] The recommended parameter adjustments are based on a compromise between the best historical data in the customer's proprietary template library and industry standard parameters, prioritizing the stability of the customer's production.

[0010] As a preferred option, the output of the optimal layout scheme and the optimal production scheme in step S2 includes: At least two candidate solutions are generated based on a multi-objective optimization algorithm. Each candidate solution includes a cost indicator, a delivery time indicator, and a quality risk indicator. In response to a user preference configuration instruction, the solution that matches the user preference is selected as the output. The user preference includes the lowest cost preference, the fastest delivery time preference, or a comprehensive balance preference.

[0011] As a preferred embodiment, the atomization disassembly in step S3 is performed based on a preset mapping rule table, which defines the following mapping relationships: When the material type is main material or auxiliary material and the inventory is insufficient, it is mapped to a material purchase order; When the material type is main material or auxiliary material and the inventory is sufficient, it is mapped to a material requisition form and the inventory is reserved. When the process type is printing process or post-printing process, it is mapped to a production task order and assigned to the corresponding machine or production line; When the process type is an outsourced process and a matching supplier exists, it is mapped to a process outsourcing order and associated with the outsourced supplier information; When the process type is an outsourced process and there is no matching supplier, it is mapped to a supplier sourcing form.

[0012] As a preferred embodiment, establishing process dependencies in step S3 specifically includes: Establish a dependency graph for the processes in each production task order. The dependencies include sequential dependencies, parallel dependencies, resource dependencies, and material dependencies. When a work order is received for any process, verify the completion status of the preceding processes. The current process reporting operation is allowed only if all preceding processes are in the "completed" state; otherwise, the reporting command is rejected and a prompt message is output.

[0013] As a preferred option, step S5 is also included: cross-order consolidation optimization stage. Maintain a pool of orders to be assembled, which contains all confirmed orders that have not yet been produced; when a new order is received, in addition to performing step S2, the new order is also combined with other orders in the order pool for feasibility testing. The feasibility test for merging includes: comparing the matching degree of paper specifications, weight, and color scheme; if there are orders that can be merged, calculating the total cost savings after merging; When the cost savings exceed a preset threshold, a recommended combination scheme is output and a combination production work order is generated. The combination production work order includes shared process units and independent process units.

[0014] As a preferred embodiment, the work reporting command is executed via a mobile terminal, including: The mobile terminal collects image data of the finished products; a lightweight AI model is called locally on the mobile terminal to process the image data and identify the quantity and quality defects of the products; the identification results are compared with the planned quantity of the work order, and if the deviation exceeds the threshold, a loss alarm is triggered; the identification results and work order information are synchronized to the server when network conditions are met.

[0015] A system for implementing a pre-set and then linked method for pricing and production collaboration of printed materials includes a customer template library module, an industry parameter library module, a dual-mode parallel computing engine, and a work order linkage generation module. The customer template library module is configured to store and manage exclusive product templates for each customer, which are built based on the customer's historical production order data. The industry parameter library module is configured to store and manage standard parameters for the printing industry. The dual-mode parallel computing engine is configured to simultaneously call the customer template library module and the industry parameter library module to perform quotation calculations, compare and calibrate the calculation results, and output the optimal production plan. The work order linkage generation module is configured to respond to the review and confirmation instruction, atomically decompose the production work order corresponding to the optimal production plan, and simultaneously generate a material purchase order, a production task order, and a process outsourcing order, and the three are associated through the same work order identifier.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention constructs a dual-layer preset knowledge base and combines a dual-mode parallel computing and calibration mechanism. It simultaneously calls two paths to calculate quotations and compares and calibrates the results dimension by dimension. When the deviation exceeds a preset threshold, the system automatically triggers difference analysis, identifies the source of the deviation, and outputs the optimal solution that has been cross-validated. This not only preserves the continuity of the customer's historical best process but also refers to the objectivity of industry benchmarks, effectively avoiding quotation deviations caused by single experience, significantly improving quotation accuracy, and greatly shortening quotation response time.

[0017] 2. This invention uses a template adaptive update mechanism to automatically collect actual production data (actual material usage, actual loss rate, and actual cost) after a production work order is completed. The data is then compared with the preset template data to identify the discrepancies. When the discrepancies exceed the threshold multiple times, the template value is automatically updated using an exponentially weighted moving average algorithm. This enables the system to have self-learning capabilities, and the template parameters are continuously optimized with actual production, achieving the technical effect of becoming more accurate with use. This avoids the tedious work of manually maintaining the template.

[0018] 3. This invention uses an atomization decomposition mechanism to automatically generate production work orders after the optimal production plan is reviewed and confirmed. These work orders are then decomposed in parallel into three types of atomized documents: material purchase orders, production task orders, and process outsourcing orders. All three are associated with the same work order identifier, which realizes the data connection of the entire process from quotation to production, eliminates information silos, makes quotation as production possible, and significantly shortens the order response cycle. Attached Figure Description

[0019] Figure 1 This is a flowchart of a pre-set and then linked method for pricing and production coordination of printed materials proposed in this invention; Figure 2 This is a system framework diagram of a pre-set and then linked method for pricing and production coordination of printed materials proposed in this invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0021] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0022] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0024] Example, refer to Figure 1-2 A pre-set and then linked method for pricing and production coordination of printed materials includes the following steps: Step 1: Pre-setting stage: Obtain historical production order data of the target customer, extract the specifications, process routes and material information of each order, and build a unique product template library for the customer; each template in the template library should include at least: fixed loss size, paper weight, number of colors, subsequent process list, historical best imposition scheme and corresponding bill of materials.

[0025] At the same time, a pre-configured library of standard parameters for the printing industry is provided, which includes: a paper specification library, an equipment capacity parameter library, and an industry process and spare parts average loss rate library.

[0026] Step 2: Dual-mode parallel computing and calibration phase: In response to receiving the production requirement parameters, the following is executed in parallel: First calculation path: Call the matching template from the customer's exclusive product template library, calculate the quotation and material usage based on the template data, and output the first solution; The second calculation path involves calling the industry standard parameter library, calculating the quotation and material usage based on industry parameters, and outputting the second solution.

[0027] The first and second schemes are compared and calibrated. If the deviation between the two exceeds the preset threshold, the difference analysis is triggered to identify the source of the deviation and output the optimal layout scheme and the optimal production scheme based on the calibration results.

[0028] Step 3: Linkage Generation Stage In response to the approval instruction for the optimal production plan, a production work order associated with that plan is automatically generated. This production work order is then atomically decomposed into three types of documents, all linked by the same work order identifier: Material purchase order: generated based on the material requirements list and inventory verification results; Production task sheet: generated based on a self-made process list, categorized by equipment type, and process dependencies are established; Outsourcing process order: generated based on the list of outsourced processes and the intelligent matching results of suppliers.

[0029] Step 4: Template Adaptive Update Phase. After a production work order is completed, actual production data is collected, including actual material usage, actual loss rate, and actual cost. This actual production data is then compared with the preset data for the corresponding template in the customer-specific product template library from Step 1. If the deviation exceeds a preset threshold for N consecutive times, a template update is triggered.

[0030] Step 5: Cross-Order Consolidation Optimization Phase. Maintain a pool of orders to be consolidated, containing all confirmed but unproduced orders. When a new order is received, in addition to performing Step 2, a consolidation feasibility test is performed between the new order and other orders in the pool. The consolidation feasibility test includes comparing the matching degree of paper specifications, grammage, and color scheme. If there are orders that can be consolidated, calculate the total cost savings after consolidation. When the cost savings exceed a preset threshold, output a recommended consolidation scheme and generate a consolidation production work order. The consolidation production work order includes shared process units and independent process units.

[0031] The second step, “Identifying the source of deviation,” specifically includes: comparing the differences between the first and second schemes in terms of paper specifications, imposition method, print run per plate, and loss rate, and outputting a difference analysis report; the difference analysis report includes the percentage deviation for each dimension and suggested correction parameters.

[0032] It is worth noting that the second step, “outputting the optimal layout scheme and the optimal production scheme”, includes: generating at least two candidate schemes based on a multi-objective optimization algorithm, each candidate scheme containing cost indicators, delivery time indicators, and quality risk indicators; responding to user preference configuration instructions, selecting the scheme that matches the user preference as the output; user preferences include the lowest cost preference, the fastest delivery time preference, or a comprehensive balance preference.

[0033] The third step, "atomic disassembly," is performed based on a preset mapping rule table, which defines the following mapping relationships: When the material type is main material or auxiliary material and the inventory is insufficient, it is mapped to a material purchase order; When the material type is main material or auxiliary material and the inventory is sufficient, it is mapped to a material requisition form and the inventory is reserved. When the process type is printing process or post-printing process, it is mapped to a production task order and assigned to the corresponding machine or production line; When the process type is an outsourced process and a matching supplier exists, it is mapped to a process outsourcing order and associated with the outsourced supplier information; When the process type is an outsourced process and there is no matching supplier, it is mapped to a supplier sourcing form.

[0034] The third step, "Establishing process dependencies," specifically includes: creating a dependency graph for the processes in each production task order, including sequential dependencies, parallel dependencies, resource dependencies, and material dependencies; upon receiving a work order for any process, verifying the completion status of the preceding processes; allowing the current process's work order to be executed only if all preceding processes are completed; otherwise, rejecting the work order and outputting a prompt message.

[0035] The work order is executed via a mobile terminal, including: the mobile terminal collecting image data of the completed products; calling a lightweight AI model locally on the mobile terminal to process the image data and identify the quantity and quality defects of the products; comparing the identification results with the planned quantity of the work order, and triggering a loss alarm if the deviation exceeds a threshold; and synchronizing the identification results and work order information to the server when network conditions are met.

[0036] In the pre-configuration phase, the system constructs a two-tiered knowledge base through the following sub-steps: Building a customer-specific product template library: The system retrieves at least 12 months of historical production order data from the target customer's ERP system or historical database. Each order data includes at least: fixed loss size, paper type and weight, number of printing colors (single color / two color / four color / spot color), list of post-processing (lamination, hot stamping, UV coating, die-cutting, box gluing, etc.), actual material usage, and actual loss rate.

[0037] Cluster analysis was performed on the above data to extract common parameters and form a template.

[0038] Specifically: For the same product series, the system automatically identifies the consistency of its fixed loss dimensions, paper specifications, and process routes, and encapsulates these fixed parameters as the core attributes of the template.

[0039] For imposition schemes, the system selects the imposition method with the highest material utilization and lowest total cost from historical orders, marks it as the "best historical imposition scheme", and records the corresponding paper size, number of prints per page, and total number of printed sheets.

[0040] For the bill of materials, the system creates a BOM (Bill of Materials) for every thousand products based on the historical average material usage, including the quota usage of main materials (paper) and auxiliary materials (ink, printing plate, glue, etc.).

[0041] The template library supports version management, generating a new version with each update and retaining historical versions for future reference.

[0042] Pre-configuration of the industry standard parameter library: The industry standard parameter library is a general benchmark and can be configured in the following ways: Paper specification library: Stores the brand, weight, size (such as 787mm×1092mm, 889mm×1194mm, etc.) of commonly used paper and the current market reference unit price, and supports regular import or API interface update.

[0043] Printing equipment capacity parameter library: Stores the preset machine types and operable size specifications of each machine in the factory (full-size machine, half-size machine, quarter-size machine, etc.). When simulating order creation, it automatically matches the corresponding machine, basic unit price, minimum fee, included print run, and unit price exceeding the limit. Downstream process standard pricing library and loss library: Stores the standard pricing methods for each downstream process (coating, die-cutting, box gluing, etc.), and stores the loss rules settings (machine adjustment loss rate (fixed loss + loss rate)).

[0044] Spare parts industry process and average spare parts loss rate library: Stores benchmark data such as fixed loss + loss rate of spare parts set according to quantity.

[0045] Through the aforementioned two-layer preset, the system provides a data foundation for subsequent dual-mode calculations.

[0046] During the dual-mode parallel computing and calibration phase, the system performs the following operations: Two parallel computing paths: When the salesperson inputs the production requirements parameters (fixed loss size, quantity, paper weight, number of colors, and subsequent processes) into the system, the system automatically triggers two calculation paths: The first calculation path (customer template path): The system performs a matching search in the customer's exclusive product template library. The matching algorithm uses weighted similarity calculation, with the weights allocated as follows: paper weight consistency (35%), color number consistency (20%), and subsequent process matching (35%). If the matching degree exceeds a preset threshold (e.g., 80%), the template is directly called; if the matching degree is lower than the threshold, the closest template is selected for interpolation calculation (e.g., adjusting material usage according to size ratio).

[0047] The second calculation path (industry parameter path): Based on the production requirement parameters, the system retrieves the corresponding paper price, equipment rate, and standard loss rate from the industry standard parameter library, and uses a general imposition algorithm (such as prioritizing standard paper sizes and calculating the maximum number of impositions) to perform quotation and material calculation.

[0048] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for coordinated pricing and production of printed materials based on pre-set parameters and subsequent linkage, characterized in that: Includes the following steps: S1, Preset Stage: Obtain historical production work orders or other similar requirement template data from target customers, extract the specifications, process routes, and material information of each order, and build a customer-specific product template library; each template in the template library includes at least: fixed loss size, paper weight, number of colors, subsequent process list, and corresponding bill of materials; at the same time, a pre-configured printing industry standard parameter library is provided, which includes: paper specification library, equipment capacity parameter library, process standard flow library, and industry process and spare parts average loss rate library. S2, Dual-mode Parallel Computing and Calibration Phase: In response to receiving the production requirement parameters, execute synchronously and in parallel: First calculation path: Call the matching template in the customer-specific product template library, calculate the quotation and material usage based on the template data, and output the first solution; Second calculation path: Call the industry standard parameter library, calculate the quotation and material usage based on the industry parameters, and output the second solution; The first scheme and the second scheme are compared and calibrated. If the deviation between the two exceeds a preset threshold, the difference analysis is triggered to identify the source of the deviation and output the optimal layout scheme and the optimal production scheme based on the calibration results. S3. Linkage Generation Stage: In response to the approval and confirmation instruction for the optimal production plan, an automatic production work order associated with the production plan is generated, and the production work order is atomically decomposed into the following three types of documents, all of which are associated through the same work order identifier: Material purchase order: generated based on the material requirements list and inventory verification results; Production task sheet: generated based on a self-made process list, categorized by equipment type, and process dependencies are established; Outsourcing order: generated based on the list of outsourced processes and intelligent supplier matching results; S4. Template Adaptive Update Stage: After the production work order is completed, actual production data is collected, including actual material usage, actual loss rate, and actual cost. The actual production data is compared with the preset data of the corresponding template in the customer-specific product template library in S1 to identify the deviation. If the deviation exceeds the preset threshold N times consecutively, a template update will be triggered.

2. The method for pre-setting and then linking pricing and production coordination of printed materials according to claim 1, characterized in that, The sources of identification bias mentioned in step S2 specifically include: Compare the differences between the first and second schemes in terms of paper specifications, imposition method, print run per page, and loss rate, and output a difference analysis report; The variance analysis report includes the percentage deviation for each dimension and suggested correction parameters; the percentage deviation is calculated as follows: The recommended parameter adjustments are based on a compromise between the best historical data in the customer's proprietary template library and industry standard parameters, prioritizing the stability of the customer's production.

3. The method for pre-setting and then linking printed matter pricing and production coordination according to claim 1, characterized in that, The optimal layout scheme and optimal production scheme output in step S2 include: At least two candidate solutions are generated based on a multi-objective optimization algorithm. Each candidate solution includes a cost indicator, a delivery time indicator, and a quality risk indicator. In response to a user preference configuration instruction, the solution that matches the user preference is selected as the output. The user preference includes the lowest cost preference, the fastest delivery time preference, or a comprehensive balance preference.

4. The method for pre-setting and then linking pricing and production coordination of printed materials according to claim 1, characterized in that, The atomization disassembly described in step S3 is performed based on a preset mapping rule table, which defines the following mapping relationships: When the material type is main material or auxiliary material and the inventory is insufficient, it is mapped to a material purchase order; When the material type is main material or auxiliary material and the inventory is sufficient, it is mapped to a material requisition form and the inventory is reserved. When the process type is printing process or post-printing process, it is mapped to a production task order and assigned to the corresponding machine or production line; When the process type is an outsourced process and a matching supplier exists, it is mapped to a process outsourcing order and associated with the outsourced supplier information; When the process type is an outsourced process and there is no matching supplier, it is mapped to a supplier sourcing form.

5. The method for pre-setting and then linking pricing and production coordination of printed materials according to claim 1, characterized in that, The establishment of process dependencies in step S3 specifically includes: Establish a dependency graph for the processes in each production task order. The dependencies include sequential dependencies, parallel dependencies, resource dependencies, and material dependencies. When a work order is received for any process, verify the completion status of the preceding processes. The current process reporting operation is allowed only if all preceding processes are in the "completed" state; otherwise, the reporting command is rejected and a prompt message is output.

6. The method for pre-setting and then linking pricing and production coordination of printed materials according to claim 1, characterized in that, It also includes step S5: Cross-order consolidation optimization stage: Maintain a pool of orders to be assembled, which contains all confirmed orders that have not yet been produced; when a new order is received, in addition to performing step S2, the new order is also combined with other orders in the order pool for feasibility testing. The feasibility test for merging includes: comparing the matching degree of paper specifications, weight, and color scheme; if there are orders that can be merged, calculating the total cost savings after merging; When the cost savings exceed a preset threshold, a recommended combination scheme is output and a combination production work order is generated. The combination production work order includes shared process units and independent process units.

7. The method for pre-setting and then linking pricing and production coordination of printed materials according to claim 1, characterized in that, The work reporting command is executed via a mobile terminal, including: The mobile terminal collects image data of the finished products; a lightweight AI model is called locally on the mobile terminal to process the image data and identify the quantity and quality defects of the products; the identification results are compared with the planned quantity of the work order, and if the deviation exceeds the threshold, a loss alarm is triggered; the identification results and work order information are synchronized to the server when network conditions are met.

8. A system for implementing the pre-set and then linked method for pricing and coordinating the production of printed materials as described in any one of claims 1-7, characterized in that, This includes a customer template library module, an industry parameter library module, a dual-mode parallel computing engine, and a work order linkage generation module. The customer template library module is configured to store and manage exclusive product templates for each customer, which are built based on the customer's historical production order data. The industry parameter library module is configured to store and manage standard parameters for the printing industry. The dual-mode parallel computing engine is configured to simultaneously call the customer template library module and the industry parameter library module to perform quotation calculations, compare and calibrate the calculation results, and output the optimal production plan. The work order linkage generation module is configured to respond to the review and confirmation instruction, atomically decompose the production work order corresponding to the optimal production plan, and simultaneously generate a material purchase order, a production task order, and a process outsourcing order, and the three are associated through the same work order identifier.

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