A production management method and system for industrial capacity allocation

Abstract

The present application relates to a production management method for industrial capacity allocation, including: identifying production order requirements in a production order, and analyzing the disassembled production order; simulating and allocating the production order to an existing production line; disassembling the production line, recombining the production line, and allocating the production order; comparing the simulation allocation results, and screening the optimal allocation result as the final capacity allocation plan. The present application improves the flexibility of production order allocation by splitting the entire production line into several production units and combining production units with the same type of production functions; by simultaneously performing irregular simulation allocation on the existing production line and performing irregular simulation allocation on the disassembled production line, and evaluating each allocation result to obtain the optimal plan, the degree of automation of the production process is improved, and the efficiency of capacity allocation is ensured.

Description

Technical Field

[0001] The present application relates to the field of capacity allocation, and in particular to a production management method and system for industrial capacity allocation. Background Art

[0002] Currently, commonly used production planning and scheduling methods primarily fall under the umbrella of MRP / ERP planning systems, advanced planning, and scheduling, employing methods including linear programming, integer programming, genetic algorithms, and particle swarm optimization. Due to concerns about raw material transportation costs or due to the coarse granularity of their research, these production planning and scheduling methods typically do not design a mechanism for multiple machines of the same type to collaborate and complete process tasks. This limits the allocation of tasks for a single process to a single machine, making it impossible to split the task volume. This leads to wasted machine resources and low efficiency when production orders are large and there are many idle machines of the same type. This results in long lead times or even overdue production orders for large planned production quantities. Even with increased resources, a production plan that completes production before the delivery date cannot be achieved.

[0003] CN201911135963.1 discloses an order scheduling and allocation scheduling method and system, and its technical solution is: obtain the order products to be scheduled and the delivery time within the planning period, and store them in the order list; obtain the available resources and resource priority of the order products and store them in the available resource list; obtain the production status of the CNC machine tools on the production line and store them in the CNC machine tool status list; perform data modeling on the order products, and allocate, sort and schedule the production plans of one or more production lines of the order products according to the delivery time, available resources and resource priority of the order products, as well as the production status of the CNC machine tools; obtain the allocation, sorting and scheduling results of each production line of the order products, and use them for the CNC machine tools on the production line. The processing process of the bed; the data modeling includes scheduling the order product production line according to the information of the order product to be scheduled and the production status of the CNC machine tool, specifically including: calculating the production delivery time of the order product according to the delivery time of the order product, taking the i-th order product, and performing a trial schedule within the range from the order delivery time to the production delivery time to obtain a trial schedule result set; taking the n-th resource in the available resource list of the i-th order product, and performing a trial schedule on the current order product on the resource, and adding the trial schedule result to the trial schedule result set; taking the j-th trial schedule result of the i-th order product for comprehensive scoring, and obtaining the result with the highest score as the final scheduling result of the current order product; the parameters i, j and n are all integers greater than or equal to 1.

[0004] This order scheduling and allocation scheduling method and system has the following advantages: It implements a weight-based production line balancing algorithm, maintaining the basic requirements of reverse production scheduling based on delivery date while also meeting the continuity requirements of production. Compared with current manual adjustment methods, it can automatically calculate results, avoiding the tedious manual sorting operations and avoiding manpower waste; it optimizes the discontinuous situation of reverse production scheduling, so that the production order can be put into production in accordance with the order, main production line and auxiliary production line sequence; it optimizes the discontinuous scheduling results, so that the same order and the same model can be put into production continuously, reducing changeover losses, thereby achieving the effect of meeting lean production requirements, improving production efficiency and saving labor costs; it integrates discontinuous work orders into continuous production and balances the production capacity of the main and auxiliary production lines, solving the problems of discontinuous work orders and imbalanced production lines caused by the scheduling process; it optimizes based on the time of reverse production scheduling based on order; and it combines the integral weighted scheduling optimization method to solve the problem of capacity balance that meets the time requirements of reverse production scheduling based on delivery date and conforms to the production line priority according to the actual production situation of the workshop.

[0005] However, the order scheduling and allocation scheduling method and system also have the following disadvantages: the existing production line production mode is fixed and cannot flexibly respond to various production orders.

[0006] Therefore, a method and system for flexibly adjusting the production mode of a production line is needed. Summary of the Invention

[0007] In order to solve the problem of inflexible production mode of existing production lines, the present application provides a production management method and system for industrial capacity allocation.

[0008] This application provides a production management method for industrial capacity allocation, comprising the following steps:

[0009] Step S1, production order analysis, identifying the production order requirements in the production order and breaking down the production order for analysis;

[0010] Step S2: simulate the allocation of existing production lines and allocate the production orders to existing production lines;

[0011] Step S3: Disassemble the production line and simulate the allocation. Disassemble the production line and allocate production orders based on production units.

[0012] Step S4: Screen the allocation plans, compare the simulated allocation results, and select the optimal allocation result as the final capacity allocation plan.

[0013] Furthermore, the step S1 includes: step S11, obtaining production order information, where the production order receiving terminal receives the production quantity, production requirements, and delivery time, and uploads the data to the production management platform; step S12, generating a process route, where the process decision module extracts and analyzes the production requirement information, combines the process data stored in the production process database, generates a process route corresponding to the production order, and uploads the process parameters to the production management platform; step S13, disassembling the process route, disassembling the entire process route of the production order into several processes, identifying the production function requirements corresponding to the disassembled processes; and the production function of the production unit; step S14, process analysis, extracting the process parameters corresponding to each of the disassembled processes, determining the type of production equipment corresponding to the process, and deriving the unit production time of the corresponding production unit occupied by a single product in each process based on the number of products produced in a single batch;

[0014] In step S11, the production requirements in the production order include but are not limited to: product model, product material, product size, production method, and finished product technical requirements;

[0015] In step S12, the process parameters in the generated process route include but are not limited to: process time, process temperature, and the number of products produced in a single batch.

[0016] Furthermore, the step S2 includes: step S21, obtaining the production status information of the production line, and the capacity analysis module identifies the usage of the allocated capacity of each existing production line, and determines the remaining capacity of each production line in combination with the maximum capacity of each production line; step S22, production line matching analysis, analyzing the production business type of each production line, and matching the corresponding production line according to the process route of the production order; step S23, corresponding production line switching analysis, confirming the switching time and switching cost of the production line switching process route; step S24, first-stage allocation, the disordered allocation module allocates the production order process route in disorder based on the remaining capacity of each production line with the production batch as the minimum unit; step S25, first-stage evaluation, performing allocation evaluation on the uploaded allocation results to obtain allocation result evaluation data.

[0017] Furthermore, in step S25, the first-stage capacity allocation evaluation method is:

[0018] ,

[0019] in, It represents the remaining capacity utilization rate of a production line in the first stage allocation result; i represents the production order number produced on this production line; n represents the total number of production orders produced on this production line; p i It is expressed as the number of products in the production order numbered i; qi It is expressed as the production quantity of a single batch of products in the production order numbered i; t i It is represented by the process route time of the production order numbered i; t′ is represented by the process switching time of the production line; t R Expressed as the total remaining capacity time of the production line;

[0020] ,

[0021] Among them, ω1 represents the capacity allocation index of a certain allocation result in the first stage. The larger ω1 is, the better the capacity allocation effect of the classification result in the first stage is; the smaller ω1 is, the worse the capacity allocation effect of the classification result in the first stage is; s represents the order number of all production orders; w represents the total number of all production orders; s represents the remaining capacity utilization rate of the production line where the production order numbered s is located; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product warehousing time.

[0022] By adopting the above technical solution, the allocation results of orders for existing production lines are evaluated, which improves the intuitiveness of judging the order allocation results.

[0023] Furthermore, step S3 includes: step S31, production line disassembly, disassembling the production line into several production units, and identifying the production function of each production unit; step S32, integration of production units of the same type, the capacity analysis module identifies the usage of the allocated capacity of each disassembled production unit, and judges the total remaining capacity of the same type of production units after integration according to the production process type of the production unit and the maximum capacity of each production unit; step S33, production process correspondence, matching the corresponding production units according to each process after the process route is disassembled, and obtaining the production time of the corresponding production unit occupied by the product in a single process; step S34, production unit process switching analysis, confirming the production unit process switching time; step S35, second-stage allocation, the disordered allocation module distributes the various processes disassembled from the production order process route in disorder according to the remaining capacity of each production unit, with the production batch as the minimum unit, and corresponds to the corresponding type of production units, and uploads the allocation results to the production management platform; step S36, second-stage evaluation, performing allocation evaluation on the uploaded allocation results to obtain allocation result evaluation data.

[0024] By adopting the above technical solution, the entire production line is split into several production units, and production units with the same type of production functions are combined, thereby improving the flexibility of production order allocation.

[0025] Furthermore, in step S36, the second-stage capacity allocation evaluation method is:

[0026] ,

[0027] in, It represents the total remaining capacity utilization rate of a certain type of production unit after integration in the second stage allocation result; j represents the production order number produced in this production unit; m represents the total number of production orders produced in this production unit; P j It is expressed as the number of products in the production order numbered j; Q j It is represented by the production quantity of a single batch of products corresponding to the production process of this type of production unit in the production order numbered j; T j It is expressed as the unit production time of a single product in the production order numbered j in the production process of this type of production unit; T′ is expressed as the process switching time of this type of production unit; T R It is expressed as the total remaining capacity time after the integration of this type of production units;

[0028] ,

[0029] in, It represents the overall utilization rate of the remaining capacity in each type of production unit of a production order; d represents the production time in a certain type of production unit in the process route of the production order; f represents the total production time of the process route of the production order; It is expressed as the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route;

[0030] ,

[0031] Among them, ω2 represents the capacity allocation index of a certain allocation result in the second stage. The larger ω1 is, the better the capacity allocation effect of the classification result in the second stage is. The smaller ω1 is, the worse the capacity allocation effect of the classification result in the second stage is. s represents the order number of all production orders. w represents the total number of all production orders. s represents the overall utilization rate of the remaining capacity of the production order numbered s in each type of production unit; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product warehousing time.

[0032] By adopting the above technical solution, the allocation results of orders to each production unit after the production line is split are evaluated, which improves the intuitiveness of the judgment of the order allocation results.

[0033] Furthermore, step S4 includes: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation index of each allocation result of the first stage and the capacity allocation index of each allocation result of the second stage; step S42, screening the optimal allocation result, sorting all allocation results by capacity, and screening the one with the highest capacity allocation index as the final allocation plan; step S43, issuing an allocation instruction, and the production management platform issues an order allocation instruction to the production line and each production unit in the production line according to the final allocation plan.

[0034] By adopting the above technical solution, the production management platform distributes irregular orders and evaluates each distribution result to obtain the optimal solution, thereby improving the degree of automation of the production process and ensuring the efficiency of capacity allocation.

[0035] A production management system for industrial capacity allocation, comprising: a production management platform, a production line terminal connected to the production management platform, and a production order receiving terminal for receiving production order information;

[0036] The production management platform includes: a memory; a processor connected to the memory; a production process database set in the memory for storing production process parameter data; a production order analysis module running on the processor for extracting key parameters from production order information; a capacity analysis module running on the processor for identifying the existing capacity allocation status and performing capacity allocation status analysis on the simulated allocation plan; and an out-of-order allocation module running on the processor for allocating production orders in a disorderly manner and transmitting the allocation results to the capacity analysis module.

[0037] Furthermore, the production line terminal includes: a plurality of production unit terminals, which are respectively connected to the production management platform for uploading production status information and receiving order allocation instructions.

[0038] In summary, this application has the following beneficial technical effects:

[0039] 1. Split the entire production line into several production units and combine production units with the same production functions to improve the flexibility of production order allocation;

[0040] 2. By simultaneously performing irregular simulation allocation on existing production lines and on dismantled production lines, and evaluating each allocation result to arrive at the optimal solution, the automation level of the production process is improved and the efficiency of capacity allocation is ensured;

[0041] 3. By evaluating the order allocation results of the existing production line and the order allocation results of each production unit after the production line is split, the intuitiveness of the judgment of the order allocation results is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a step diagram of a production management method for industrial capacity allocation according to an embodiment of the present application.

[0043] Figure 2 This is a structural diagram of a production management system for industrial capacity allocation according to an embodiment of the present application.

[0044] Description of reference numerals:

[0045] 1. Production management platform; 2. Memory; 21. Production process database; 3. Processor; 4. Capacity analysis module; 5. Disorder allocation module; 6. Production order analysis module;

[0046] 7. Production line terminal; 71. Production unit terminal;

[0047] 8. Production order receiving terminal. DETAILED DESCRIPTION

[0048] The following, through the description of the embodiments with reference to the accompanying drawings, further details are given of the specific embodiments of the present application, such as the shapes and structures of the various components involved, the relative positions and connection relationships between the various parts, the functions and working principles of the various parts, the manufacturing process and the operation and use methods, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention. For the convenience of explanation, the directions mentioned in this application shall be based on the directions shown in the accompanying drawings.

[0049] Reference Figure 1-Figure 2 As shown,

[0050] A production management method for industrial capacity allocation comprises the following steps:

[0051] Step S1, production order analysis, identifying the production order requirements in the production order and breaking down the production order for analysis;

[0052] Step S2: simulate the allocation of existing production lines and allocate the production orders to existing production lines;

[0053] Step S3: Disassemble the production line and simulate the allocation. Disassemble the production line and allocate production orders based on production units.

[0054] Step S4: Screen the allocation plans, compare the simulated allocation results, and select the optimal allocation result as the final capacity allocation plan.

[0055] The step S1 includes: step S11, obtaining production order information, the production order receiving terminal 8 receives the production quantity, production requirements, and delivery time, and uploads the data to the production management platform 1; step S12, generating a process route, the process decision module extracts and analyzes the production requirement information, combines the process data stored in the production process database 21, generates a process route corresponding to the production order, and uploads the process parameters to the production management platform 1; step S13, disassembling the process route, disassembling the entire process route of the production order into several processes, identifying the production function requirements corresponding to the disassembled processes; the production function of the production unit; step S14, process analysis, extracting the process parameters corresponding to each disassembled process, determining the type of production equipment corresponding to the process, and deriving the unit production time of the corresponding production unit occupied by a single product in each process based on the number of products produced in a single batch;

[0056] In step S11, the production requirements in the production order include but are not limited to: product model, product material, product size, production method, and finished product technical requirements;

[0057] In step S12, the process parameters in the generated process route include but are not limited to: process time, process temperature, and the number of products produced in a single batch.

[0058] The step S2 includes: step S21, obtaining the production status information of the production line, and the capacity analysis module 4 identifies the usage of the existing allocated capacity of each production line, and judges the remaining capacity of each production line in combination with the maximum capacity of each production line; step S22, production line matching analysis, analyzing the production business type of each production line, and matching the corresponding production line according to the process route of the production order; step S23, corresponding production line switching analysis, confirming the switching time and switching cost of the production line switching process route; step S24, first-stage allocation, the disordered allocation module 5 allocates the production order process route in disorder based on the remaining capacity of each production line with the production batch as the minimum unit; step S25, first-stage evaluation, performing allocation evaluation on the uploaded allocation results to obtain allocation result evaluation data.

[0059] In step S25, the first stage capacity allocation evaluation method is:

[0060] ,

[0061] in, It represents the remaining capacity utilization rate of a production line in the first stage allocation result; i represents the production order number produced on this production line; n represents the total number of production orders produced on this production line; p i It is expressed as the number of products in the production order numbered i; q iIt is expressed as the production quantity of a single batch of products in the production order numbered i; t i It is represented by the process route time of the production order numbered i; t′ is represented by the process switching time of the production line; t R Expressed as the total remaining capacity time of the production line;

[0062] ,

[0063] Among them, ω1 represents the capacity allocation index of a certain allocation result in the first stage. The larger ω1 is, the better the capacity allocation effect of the classification result in the first stage is; the smaller ω1 is, the worse the capacity allocation effect of the classification result in the first stage is; s represents the order number of all production orders; w represents the total number of all production orders; s represents the remaining capacity utilization rate of the production line where the production order numbered s is located; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product warehousing time.

[0064] Step S3 includes: step S31, production line disassembly, disassembling the production line into several production units, and identifying the production function of each production unit; step S32, integration of production units of the same type, the capacity analysis module 4 identifies the usage of the allocated capacity of each disassembled production unit, and judges the total remaining capacity of the same type of production units after integration according to the production process type of the production unit and the maximum capacity of each production unit; step S33, production process correspondence, matching the corresponding production units according to each process after the process route is disassembled, and obtaining the production time of the corresponding production unit occupied by the product in a single process; step S34, production unit process switching analysis, confirming the production unit process switching time; step S35, second-stage allocation, the disordered allocation module 5 allocates the various processes disassembled from the production order process route in disorder according to the remaining capacity of each production unit, with the production batch as the minimum unit, and corresponds to the corresponding type of production units, and uploads the allocation results to the production management platform 1; step S36, second-stage evaluation, performing allocation evaluation on the uploaded allocation results to obtain allocation result evaluation data.

[0065] In step S36, the second stage capacity allocation evaluation method is:

[0066] ,

[0067] in, It represents the total remaining capacity utilization rate of a certain type of production unit after integration in the second stage allocation result; j represents the production order number produced in this production unit; m represents the total number of production orders produced in this production unit; P j It is expressed as the number of products in the production order numbered j; Q j It is represented by the production quantity of a single batch of products corresponding to the production process of this type of production unit in the production order numbered j; T j It is expressed as the unit production time of a single product in the production order numbered j in the production process of this type of production unit; T′ is expressed as the process switching time of this type of production unit; T R It is expressed as the total remaining capacity time after the integration of this type of production units;

[0068] ,

[0069] in, It represents the overall utilization rate of the remaining capacity in each type of production unit of a production order; d represents the production time in a certain type of production unit in the process route of the production order; f represents the total production time of the process route of the production order; It is expressed as the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route;

[0070] ,

[0071] Among them, ω2 represents the capacity allocation index of a certain allocation result in the second stage. The larger ω1 is, the better the capacity allocation effect of the classification result in the second stage is. The smaller ω1 is, the worse the capacity allocation effect of the classification result in the second stage is. s represents the order number of all production orders. w represents the total number of all production orders. s represents the overall utilization rate of the remaining capacity of the production order numbered s in each type of production unit; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product warehousing time.

[0072] The step S4 includes: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation index of each allocation result in the first stage and the capacity allocation index of each allocation result in the second stage; step S42, screening the optimal allocation result, sorting all allocation results by capacity, and screening the one with the highest capacity allocation index as the final allocation plan; step S43, issuing an allocation instruction, and the production management platform 1 issues an order allocation instruction to the production line and each production unit in the production line according to the final allocation plan.

[0073] A production management system for industrial capacity allocation, comprising: a production management platform 1, a production line terminal 7 connected to the production management platform 1, and a production order receiving terminal 8 for receiving production order information;

[0074] The production management platform 1 includes: a memory 2; a processor 3, connected to the memory 2; a production process database 21, set in the memory 2, for storing production process parameter data; a production order analysis module 6, running on the processor 3, for extracting key parameters in the production order information; a capacity analysis module 4, running on the processor 3, for identifying the existing capacity allocation status and performing capacity allocation status analysis on the simulated allocation plan; an out-of-order allocation module 5, running on the processor 3, for performing out-of-order allocation of production orders and transmitting the allocation results to the capacity analysis module 4.

[0075] The production line terminal 7 includes: a plurality of production unit terminals 71, which are respectively connected to the production management platform 1 and are used to upload production status information and receive order allocation instructions.

[0076] In an embodiment of the present application, a production management method and system for industrial capacity allocation has the following working principles: the production line as a whole is split into several production units, and production units with the same type of production functions are combined to improve the flexibility of production order allocation; irregular order allocation is performed by the production management platform, while simulated allocation of existing production lines and production line disassembly allocation are performed, and each allocation result is evaluated to obtain the optimal solution, thereby improving the degree of automation of the production process and ensuring the efficiency of capacity allocation.

[0077] In the embodiment of the present application, the order allocation results of the existing production line and the order allocation results of each production unit after the production line is split are evaluated separately, which improves the intuitiveness of the judgment of the order allocation results.

[0078] The above is a schematic description of the present invention and its embodiments, which is not restrictive. The accompanying drawings only illustrate one embodiment of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, uninventively designs a structure and embodiment similar to this technical solution, they shall fall within the scope of protection of the present invention.

Claims

1. A production management method for industrial capacity allocation, characterized in that: The following steps are involved: Step S1, production order analysis, identifying the production order requirements in the production order, and disassembling the production order for analysis; Step S2: simulate the allocation of existing production lines and allocate the production orders to existing production lines; Step S3: Disassemble the production line and simulate the allocation. Disassemble the production line and allocate production orders based on production units. Step S4: screening the allocation plan, comparing the simulation allocation results, and screening the optimal allocation result as the final capacity allocation plan; The step S1 comprises: step S11, obtaining production order information, wherein the production order receiving terminal (8) receives the production quantity, production requirements, and delivery time, and uploads the data to the production management platform (1); step S12, generating a process route, wherein the process decision module extracts and analyzes the production requirement information, combines the process data stored in the production process database (21), generates a process route corresponding to the production order, and uploads the process parameters to the production management platform (1); step S13, disassembling the process route, disassembling the entire process route of the production order into several processes, identifying the production function requirements corresponding to the disassembled processes; and the production function of the production unit; step S14, process analysis, extracting the process parameters corresponding to each of the disassembled processes, determining the type of production equipment corresponding to the process, and deriving the unit production time of the corresponding production unit occupied by a single product in each process based on the number of products produced in a single batch; In step S11, the production requirements in the production order include: product model, product material, product size, production method, and finished product technical requirements; In step S12, the process parameters in the generated process route include: process time, process temperature, and the number of products produced in a single batch; The step S2 comprises: step S21, obtaining the production status information of the production line, the capacity analysis module (4) identifying the capacity usage of each existing production line, and judging the remaining capacity of each production line in combination with the maximum capacity of each production line; step S22, production line matching analysis, analyzing the production business type of each production line, and matching the corresponding production line according to the process route of the production order; step S23, corresponding production line switching analysis, confirming the switching time and switching cost of the production line switching process route; step S24, first stage allocation, the disorder allocation module (5) performs disorderly allocation of the production order process route based on the remaining capacity of each production line with the production batch as the minimum unit; step S25, first stage evaluation, performing allocation evaluation on the uploaded allocation result to obtain allocation result evaluation data; In step S25, the first stage capacity allocation evaluation method is: ， in, It represents the remaining capacity utilization rate of a production line in the first stage allocation result; i represents the production order number produced on this production line; n represents the total number of production orders produced on this production line; p i It is expressed as the number of products in the production order numbered i; q i It is expressed as the production quantity of a single batch of products in the production order numbered i; t i It is represented by the process route time of the production order numbered i; t′ is represented by the process switching time of the production line; t R Expressed as the total remaining capacity time of the production line; ， Where ω1 represents the capacity allocation index of a certain allocation result in the first stage; s represents the order number of all production orders; w represents the total number of all production orders; It is expressed as the remaining capacity utilization rate of the production line where the production order numbered s is located; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product entry time; The step S3 comprises: step S31, production line disassembly, disassembling the production line into several production units and identifying the production function of each production unit; step S32, integration of production units of the same type, the capacity analysis module (4) identifies the usage of the allocated capacity of each disassembled production unit, and determines the total remaining capacity of the same type of production units after integration based on the production process type of the production unit and the maximum capacity of each production unit; step S33, production process correspondence, matching the corresponding production units according to each process after the process route is disassembled, and obtaining the production time occupied by the product in the corresponding production unit in a single process; step S34, production unit process switching analysis, confirming the production unit process switching time; step S35, second-stage allocation, the disordered allocation module (5) performs disordered allocation of each process disassembled in the production order process route based on the remaining capacity of each production unit, with the production batch as the minimum unit, and corresponds to the corresponding type of production unit, and uploads the allocation result to the production management platform (1); step S36, second-stage evaluation, performing allocation evaluation on the uploaded allocation result to obtain allocation result evaluation data; In step S36, the second stage capacity allocation evaluation method is: , in, It represents the total remaining capacity utilization rate of a certain type of production unit after integration in the second stage allocation result; j represents the production order number produced in this production unit; m represents the total number of production orders produced in this production unit; P j It is expressed as the number of products in the production order numbered j; Q j It is represented by the production quantity of a single batch of products corresponding to the production process of this type of production unit in the production order numbered j; T j It is expressed as the unit production time of a single product in the production order numbered j in the production process of this type of production unit; T′ is expressed as the process switching time of this type of production unit; T R It is expressed as the total remaining capacity time after the integration of this type of production units; ， in, It represents the overall utilization rate of the remaining capacity in each type of production unit of a production order; d represents the production time in a certain type of production unit in the process route of the production order; f represents the total production time of the process route of the production order; It is expressed as the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route; ， Where ω2 represents the capacity allocation index of a certain allocation result in the second stage; s represents the order number of all production orders; w represents the total number of all production orders; It is expressed as the overall utilization rate of the remaining capacity of the production order numbered s in each type of production unit; e s It is expressed as the difference between the delivery time and the production completion time of the production order numbered s; f s It is expressed as the difference between the delivery time of the production order numbered s and the product entry time; The step S4 comprises: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation index of each allocation result of the first stage and the capacity allocation index of each allocation result of the second stage; step S42, screening the optimal allocation result, sorting all the allocation results by capacity, and screening the one with the highest capacity allocation index as the final allocation plan; step S43, issuing an allocation instruction, and the production management platform (1) issues an order allocation instruction to the production line and each production unit in the production line according to the final allocation plan.

2. A production management system for industrial capacity allocation, characterized by A production management method for industrial capacity allocation applicable to claim 1: The production management system for industrial capacity allocation comprises: a production management platform (1), a production line terminal (7) connected to the production management platform (1), and a production order receiving terminal (8) for receiving production order information; The production management platform (1) includes: a memory (2); a processor (3) connected to the memory (2); a production process database (21) provided in the memory (2) for storing production process parameter data; a production order analysis module (6) running on the processor (3) for extracting key parameters from production order information; a capacity analysis module (4) running on the processor (3) for identifying existing capacity allocation status and analyzing the capacity allocation status of a simulated allocation plan; and a disordered allocation module (5) running on the processor (3) for distributing production orders in disorder and transmitting the allocation results to the capacity analysis module (4).

3. The production management system for industrial capacity allocation according to claim 2 is characterized by: The production line terminal (7) comprises: a plurality of production unit terminals (71), each connected to the production management platform (1) and used for uploading production status information and receiving order allocation instructions.

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