CN114169766A - Production management method and system for industrial capacity allocation - Google Patents

Production management method and system for industrial capacity allocation Download PDF

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CN114169766A
CN114169766A CN202111498379.XA CN202111498379A CN114169766A CN 114169766 A CN114169766 A CN 114169766A CN 202111498379 A CN202111498379 A CN 202111498379A CN 114169766 A CN114169766 A CN 114169766A
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丁业琴
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316—Sequencing of tasks or work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063112—Skill-based matching of a person or a group to a task
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The application relates to a production management method for industrial capacity allocation, which comprises the following steps: identifying the production order requirement in the production order, and disassembling and analyzing the production order; simulating and distributing the production order to the existing production line; disassembling the production line, recombining the production line and distributing production orders; comparing the simulated allocation results, and screening the optimal allocation result as a final capacity allocation scheme. According to the production line, the production line is integrally split into the production units, and the production units with the same type of production function are combined, so that the flexibility of production order allocation is improved; by simultaneously carrying out irregular simulation distribution on the existing production line and carrying out irregular simulation distribution after the production line is disassembled and evaluating each distribution result to obtain an optimal scheme, the automation degree of the production process is improved, and the distribution efficiency of the productivity is ensured.

Description

Production management method and system for industrial capacity allocation
Technical Field
The present application relates to the field of capacity allocation, and in particular, to a method and a system for production management of industrial capacity allocation.
Background
The production planning and scheduling method commonly used at present mainly belongs to a MRP/ERP planning system, a high-level plan and scheduling, and adopts methods including linear planning, integer planning, genetic algorithm, particle swarm algorithm and the like. In the production planning scheduling method, due to the consideration of raw material transportation cost or the reason of coarse research granularity, a mechanism for cooperatively completing process tasks by a plurality of machines of the same type is not designed, and the task quantity of a single process is limited to be only distributed to a single machine, so that the task quantity cannot be split, the machine resource waste and the efficiency are low under the conditions of large production order quantity and large number of idle machines of the same type, the working period and even overdue of the task list with large production quantity are planned, and the production plan for completing production before delivery can not be obtained under the condition of resource increase.
CN201911135963.1 discloses an order scheduling and allocation scheduling method and system, the technical solution is: obtaining order products to be scheduled and delivery time in a planning period, and storing the order products and the delivery time into an order list; acquiring available resources and resource priority of an order product and storing the available resources and the resource priority into an available resource list; acquiring the production state of the numerical control machine tool on the production line, and storing the production state into a numerical control machine tool state list; performing data modeling on the order product, and performing distribution sequencing and scheduling on the production plans of one or more production lines of the order product according to the delivery time, available resources and resource priority of the order product and the production state of the numerical control machine; obtaining the distribution sequencing and scheduling results of each production line of order products, and using the results in the processing process of the numerical control machine tool on the production line; the data modeling comprises scheduling the order product production line according to the order product information to be scheduled and the production state of the numerical control machine, and specifically comprises the following steps: calculating the production delivery time of the order product according to the delivery time of the order product, taking the ith order product, and performing trial discharge in the range from the order delivery time to the production delivery time to obtain a trial discharge result set; taking the nth resource in the available resource list of the ith order product, performing trial layout on the current order product on the resource, and adding trial layout results into a trial layout result set; taking the jth trial-discharge result of the ith order product to perform comprehensive scoring, and taking the highest scoring result as the final scheduling result of the current order product; the parameters i, j and n are integers of 1 or more.
The order scheduling and distribution scheduling method and system have the following advantages: the production line balancing algorithm with the weight as the core is realized, the basic requirement of reverse production scheduling according to the delivery period is kept, and the continuity requirement required by production is met. Compared with the existing manual adjustment method, the method has the advantages that the result can be automatically calculated, the complicated operation of manual sequencing is avoided, and the labor waste is avoided; the discontinuous condition of the reverse production scheduling online is optimized, so that the online sequence can be produced according to orders and the sequence of the main production line and the auxiliary production line of the production line; the discontinuous scheduling results are optimized, the same order and the same model can be put into production continuously, and the model changing loss is reduced, so that the effects of meeting the lean production requirement, improving the production efficiency and saving the labor cost are achieved; the discontinuous work orders are integrated into continuous production and the productivity of the main and auxiliary production lines is balanced, so that the problems of work order discontinuity and production line imbalance generated in the production scheduling process are solved; optimizing based on the time of reversely scheduling according to the order; the optimal selection method of the integral weighted scheduling is combined, and aiming at the actual situation of workshop production, the problems that the requirement of the reverse production scheduling time of a delivery period is met and the capacity balance of the priority of a production line is met are solved.
However, the order scheduling and distribution scheduling method and system also have the following disadvantages: the existing production line has fixed production modes and cannot flexibly deal with various production orders.
Therefore, a method and a system for flexibly adjusting the production mode of the production line are needed.
Disclosure of Invention
In order to solve the problem that the production mode of the existing production line is not flexible, the application provides a production management method and system for industrial capacity allocation.
The application provides a production management method for industrial capacity allocation, which comprises the following steps:
step S1, analyzing the production order, identifying the production order requirement in the production order, and analyzing the production order after disassembling and disassembling;
step S2, simulating and distributing the existing production line, and simulating and distributing the production order to the existing production line;
step S3, disassembling the production line for simulation distribution, disassembling the production line, and distributing production orders based on the production units;
and step S4, screening the allocation scheme, comparing the simulated allocation results, and screening the optimal allocation result as the final capacity allocation scheme.
Further, the step S1 includes: step S11, obtaining production order information, receiving production quantity, production requirement and delivery time by the production order receiving terminal, and uploading data to the production management platform; step S12, generating a process route, extracting and analyzing production requirement information by a process decision module, generating the process route corresponding to the production order by combining process data stored in a production process database, and uploading process parameters to a production management platform; step S13, disassembling the process route, disassembling the whole process route of the production order into a plurality of working procedures, and identifying the production function requirements corresponding to the disassembled working procedures; the production function of the production unit; step S14, analyzing the working procedures, extracting the corresponding technological parameters of the disassembled working procedures, determining the type of the production equipment corresponding to the working procedures, and obtaining the unit production time of the corresponding production unit occupied by a single product in each working procedure according to the quantity of the single batch of secondary products;
in step S11, the production requirement in the production order includes, but is not limited to: product type, product material, product size, production mode and finished product technical requirements;
in step S12, the process parameters in the generated process route include, but are not limited to: process time, process temperature, number of products produced in a single batch.
Further, the step S2 includes: step S21, acquiring production state information of the production lines, identifying the use condition of the allocated capacity of each existing production line by a capacity analysis module, and judging the capacity surplus condition of each production line by combining the maximum capacity of each production line; step S22, analyzing the matching condition of the production lines, analyzing the production service types of each production line, and matching the corresponding production lines according to the process routes of the production orders; step S23, corresponding to the production line switching analysis, confirming the switching time and the switching cost of the production line switching process route; step S24, in the first stage of distribution, the disordered distribution module carries out disordered distribution on the process route of the production order by taking the production batch as the minimum unit according to the capacity surplus condition of each production line; and step S25, a first stage of evaluation, namely, the uploaded distribution results are subjected to distribution evaluation to obtain distribution result evaluation data.
Further, in step S25, the first-stage capacity allocation evaluating method includes:
Figure 383568DEST_PATH_IMAGE002
,
wherein the content of the first and second substances,
Figure 137897DEST_PATH_IMAGE004
expressed as a first stage of allocationThe residual capacity utilization rate of a certain production line is obtained; i represents the production order number produced in the production line; n represents the total number of production orders produced on the production line; p is a radical ofiThe number of products in the production order denoted as number i; q. q.siThe production quantity of the single batch of products in the production order with the number i; t is tiProcess route time represented as production order number i; t' is expressed as the process switching time of the production line; t is tRExpressed as the total remaining capacity time of the production line;
Figure 937226DEST_PATH_IMAGE006
，
wherein, ω is1Capacity allocation index, ω, expressed as a result of a first stage allocation1The larger the capacity allocation effect of the classification result in the first stage, omega1The smaller the capacity distribution effect of the classification result in the first stage is, the better and worse; s represents the order number for all production orders; w represents the total number of all production orders;
Figure 460611DEST_PATH_IMAGE004
s represents the residual capacity utilization rate of the production line of the production order with the serial number s; e.g. of the typesThe difference between the delivery time and the production completion time of the production order with the number s is represented; f. ofsExpressed as the difference between the delivery time of the production order numbered s and the product warehousing time.
By adopting the technical scheme, the order distribution result of the existing production line is evaluated, and the visual degree of judging the order distribution result is improved.
Further, step S3 includes: step S31, disassembling the production line into a plurality of production units, and identifying the production functions of the production units; step S32, integrating the production units of the same type, identifying the use condition of the allocated capacity of each disassembled production unit by a capacity analysis module, and judging the total capacity residual condition after integrating the production units of the same type according to the production process type of the production units and the maximum capacity of each production unit; s33, the production processes correspond to each other, the processes disassembled according to the process route are respectively matched with corresponding production units, and the production time of the product occupying the corresponding production units in a single process is obtained; step S34, switching and analyzing the production unit processes, and confirming the process switching time of the production unit; step S35, performing second-stage distribution, namely performing disordered distribution on each procedure disassembled from the production order process route by using the production batch as the minimum unit according to the capacity surplus condition of each production unit through the disordered distribution module, corresponding to the production unit of the corresponding type, and uploading the distribution result to the production management platform; and step S36, performing second-stage evaluation, namely performing distribution evaluation on the uploaded distribution result to obtain distribution result evaluation data.
By adopting the technical scheme, the whole production line is split into the plurality of production units, and the production units with the same type of production function are combined, so that the flexibility of production order allocation is improved.
Further, in step S36, the second stage capacity allocation evaluating method includes:
Figure 890456DEST_PATH_IMAGE008
,
wherein the content of the first and second substances,
Figure 194398DEST_PATH_IMAGE010
the total remaining capacity utilization rate after the integration of a certain type of production unit in the second-stage distribution result is represented; j represents a production order number produced at the production unit; m represents the total number of production orders produced at the production unit; pjThe number of products in the production order denoted as number j; qjThe production quantity of a single batch of products corresponding to the production process of the type of production unit in the production order with the number j; t isjThe unit production time of the production unit of the type occupied by a single product in the production process in the production order with the number j; t' represents the process switching time of the production unit of the type; t isRExpressed as the total remaining capacity after the integration of the type of production unitTime;
Figure 469522DEST_PATH_IMAGE012
，
wherein the content of the first and second substances,
Figure 175309DEST_PATH_IMAGE014
the remaining capacity overall utilization rate in each type of production unit expressed as a certain production order; d represents the production time in a certain type of production unit in the production order process route; f represents the total production time of the process route of the production order;
Figure 100002_DEST_PATH_IMAGE015
representing the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route;
Figure 100002_DEST_PATH_IMAGE017
，
wherein, ω is2Capacity allocation index, ω, expressed as a result of a second stage allocation1The larger the yield distribution effect of the classification result in the second stage is, omega1The smaller the yield distribution effect of the classification result in the second stage is, the better and worse; s represents the order number for all production orders; w represents the total number of all production orders;
Figure 572793DEST_PATH_IMAGE014
s represents the residual capacity overall utilization rate of the production order with the serial number s in each type of production unit; e.g. of the typesThe difference between the delivery time and the production completion time of the production order with the number s is represented; f. ofsExpressed as the difference between the delivery time of the production order numbered s and the product warehousing time.
By adopting the technical scheme, the allocation result of order allocation of each production unit after the production line is split is evaluated, and the visual degree of order allocation result judgment is improved.
Further, the step S4 includes: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation indexes of the allocation results in the first stage and the capacity allocation indexes of the allocation results in the second stage; s42, screening the optimal allocation results, performing capacity sequencing on all the allocation results, and screening the final allocation scheme with the highest capacity allocation index; and step S43, sending out a distribution instruction, and sending out an order distribution instruction to the production line and each production unit in the production line by the production management platform according to the final distribution scheme.
By adopting the technical scheme, the production management platform carries out irregular order allocation and evaluates each allocation result to obtain an optimal scheme, so that the automation degree of the production process is improved, and the allocation efficiency of the capacity is ensured.
A production management system for industrial capacity allocation, comprising: the system comprises a production management platform, a production line terminal connected with the production management platform and a production order receiving terminal used for receiving production order information;
the production management platform comprises: a memory; a processor connected with the memory; the production process database is arranged in the memory and used for storing production process parameter data; the production order analysis module runs on the processor and is used for extracting key parameters in the production order information; the capacity analysis module runs on the processor and is used for identifying the existing capacity allocation condition and carrying out capacity allocation condition analysis on the simulation allocation scheme; and the unordered distribution module runs on the processor and is used for carrying out unordered distribution on the production orders and transmitting the distribution result to the capacity analysis module.
Further, the production line terminal includes: and the production unit terminals are respectively connected with the production management platform and used for uploading production condition information and receiving order allocation instructions.
To sum up, the application comprises the following beneficial technical effects:
1. the production line is integrally split into a plurality of production units, and the production units with the same type of production function are combined, so that the flexibility of production order allocation is improved;
2. the method has the advantages that the optimal scheme is obtained by simultaneously carrying out irregular simulation distribution on the existing production line and irregular simulation distribution after the production line is disassembled and evaluating each distribution result, so that the automation degree of the production process is improved, and the distribution efficiency of the productivity is ensured;
3. the order distribution result of the existing production line and the order distribution result of each production unit after the production line is split are evaluated respectively, so that the visual degree of judging the order distribution result is improved.
Drawings
FIG. 1 is a flowchart illustrating a method for managing production of industrial capacity allocation according to an embodiment of the present application.
FIG. 2 is a block diagram of a production management system for industrial capacity allocation according to an embodiment of the present application.
Description of reference numerals:
1. a production management platform; 2. a memory; 21. a production process database; 3. a processor; 4. a capacity analysis module; 5. an out-of-order assignment module; 6. a production order analysis module;
7. a production line terminal; 71. producing a cell terminal;
8. and a production order receiving terminal.
Detailed Description
The following description of the embodiments with reference to the drawings is provided to describe the embodiments, and the embodiments of the present application, such as the shapes and configurations of the components, the mutual positions and connection relationships of the components, the functions and working principles of the components, the manufacturing processes and the operation and use methods, etc., will be further described in detail to help those skilled in the art to more fully, accurately and deeply understand the inventive concepts and technical solutions of the present invention. For convenience of description, the directions mentioned in the present application shall be those shown in the drawings.
As shown with reference to figures 1-2,
a production management method for industrial capacity allocation comprises the following steps:
step S1, analyzing the production order, identifying the production order requirement in the production order, and analyzing the production order after disassembling and disassembling;
step S2, simulating and distributing the existing production line, and simulating and distributing the production order to the existing production line;
step S3, disassembling the production line for simulation distribution, disassembling the production line, and distributing production orders based on the production units;
and step S4, screening the allocation scheme, comparing the simulated allocation results, and screening the optimal allocation result as the final capacity allocation scheme.
The step S1 includes: step S11, obtaining production order information, receiving production quantity, production requirement and delivery time by the production order receiving terminal 8, and uploading data to the production management platform 1; step S12, generating a process route, extracting and analyzing production requirement information by a process decision module, generating a process route corresponding to the production order by combining process data stored in the production process database 21, and uploading process parameters to the production management platform 1; step S13, disassembling the process route, disassembling the whole process route of the production order into a plurality of working procedures, and identifying the production function requirements corresponding to the disassembled working procedures; the production function of the production unit; step S14, analyzing the working procedures, extracting the corresponding technological parameters of the disassembled working procedures, determining the type of the production equipment corresponding to the working procedures, and obtaining the unit production time of the corresponding production unit occupied by a single product in each working procedure according to the quantity of the single batch of secondary products;
in step S11, the production requirement in the production order includes, but is not limited to: product type, product material, product size, production mode and finished product technical requirements;
in step S12, the process parameters in the generated process route include, but are not limited to: process time, process temperature, number of products produced in a single batch.
The step S2 includes: step S21, acquiring production state information of the production lines, identifying the use condition of the allocated capacity of each existing production line by the capacity analysis module 4, and judging the capacity surplus condition of each production line by combining the maximum capacity of each production line; step S22, analyzing the matching condition of the production lines, analyzing the production service types of each production line, and matching the corresponding production lines according to the process routes of the production orders; step S23, corresponding to the production line switching analysis, confirming the switching time and the switching cost of the production line switching process route; step S24, in the first stage of distribution, the disordered distribution module 5 carries out disordered distribution on the production order process route by taking the production batch as the minimum unit according to the capacity surplus condition of each production line; and step S25, a first stage of evaluation, namely, the uploaded distribution results are subjected to distribution evaluation to obtain distribution result evaluation data.
In step S25, the first-stage capacity allocation evaluation method includes:
Figure DEST_PATH_IMAGE018
,
wherein the content of the first and second substances,
Figure 364031DEST_PATH_IMAGE004
representing the residual capacity utilization rate of a certain production line in the first-stage distribution result; i represents the production order number produced in the production line; n represents the total number of production orders produced on the production line; p is a radical ofiThe number of products in the production order denoted as number i; q. q.siThe production quantity of the single batch of products in the production order with the number i; t is tiProcess route time represented as production order number i; t' is expressed as the process switching time of the production line; t is tRExpressed as the total remaining capacity time of the production line;
Figure DEST_PATH_IMAGE019
，
wherein, ω is1Capacity allocation index, ω, expressed as a result of a first stage allocation1The larger the capacity allocation effect of the classification result in the first stage, omega1The smaller the capacity distribution effect of the classification result in the first stage is, the better and worse; s represents the order number for all production orders; w represents the total number of all production orders;
Figure 502233DEST_PATH_IMAGE004
s is a production order with number sThe utilization rate of the residual capacity of the single production line; e.g. of the typesThe difference between the delivery time and the production completion time of the production order with the number s is represented; f. ofsExpressed as the difference between the delivery time of the production order numbered s and the product warehousing time.
Step S3 includes: step S31, disassembling the production line into a plurality of production units, and identifying the production functions of the production units; step S32, integrating the production units of the same type, identifying the use condition of the allocated capacity of each disassembled production unit by the capacity analysis module 4, and judging the total capacity residual condition after integrating the production units of the same type according to the production process type of the production unit and combining the maximum capacity of each production unit; s33, the production processes correspond to each other, the processes disassembled according to the process route are respectively matched with corresponding production units, and the production time of the product occupying the corresponding production units in a single process is obtained; step S34, switching and analyzing the production unit processes, and confirming the process switching time of the production unit; step S35, performing second-stage distribution, namely performing disordered distribution on each procedure disassembled from the production order process route by using the production batch as the minimum unit by the disordered distribution module 5 according to the capacity surplus condition of each production unit, corresponding to the production unit of the corresponding type, and uploading the distribution result to the production management platform 1; and step S36, performing second-stage evaluation, namely performing distribution evaluation on the uploaded distribution result to obtain distribution result evaluation data.
In step S36, the second stage capacity allocation evaluating method includes:
Figure 210DEST_PATH_IMAGE008
,
wherein the content of the first and second substances,
Figure 834174DEST_PATH_IMAGE010
the total remaining capacity utilization rate after the integration of a certain type of production unit in the second-stage distribution result is represented; j represents a production order number produced at the production unit; m represents the total number of production orders produced at the production unit; pjProduction order denoted by number jThe number of products in a sheet; qjThe production quantity of a single batch of products corresponding to the production process of the type of production unit in the production order with the number j; t isjThe unit production time of the production unit of the type occupied by a single product in the production process in the production order with the number j; t' represents the process switching time of the production unit of the type; t isRExpressed as the total remaining capacity time after the type of production unit integration;
Figure 784813DEST_PATH_IMAGE012
，
wherein the content of the first and second substances,
Figure 729635DEST_PATH_IMAGE014
the remaining capacity overall utilization rate in each type of production unit expressed as a certain production order; d represents the production time in a certain type of production unit in the production order process route; f represents the total production time of the process route of the production order;
Figure 82119DEST_PATH_IMAGE015
representing the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route;
Figure DEST_PATH_IMAGE020
，
wherein, ω is2Capacity allocation index, ω, expressed as a result of a second stage allocation1The larger the yield distribution effect of the classification result in the second stage is, omega1The smaller the yield distribution effect of the classification result in the second stage is, the better and worse; s represents the order number for all production orders; w represents the total number of all production orders;
Figure 86984DEST_PATH_IMAGE014
s represents the residual capacity overall utilization rate of the production order with the serial number s in each type of production unit; e.g. of the typesProduction order denoted by the number sDifference between the single delivery time and the production completion time; f. ofsExpressed as the difference between the delivery time of the production order numbered s and the product warehousing time.
The step S4 includes: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation indexes of the allocation results in the first stage and the capacity allocation indexes of the allocation results in the second stage; s42, screening the optimal allocation results, performing capacity sequencing on all the allocation results, and screening the final allocation scheme with the highest capacity allocation index; in step S43, a distribution instruction is issued, and the production management platform 1 issues an order distribution instruction to the production line and each production unit in the production line according to the final distribution plan.
A production management system for industrial capacity allocation, comprising: the system comprises a production management platform 1, a production line terminal 7 connected with 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, which is arranged in the memory 2 and is used for storing production process parameter data; the production order analysis module 6 runs on the processor 3 and is used for extracting key parameters in the production order information; the capacity analysis module 4 runs on the processor 3 and is used for identifying the existing capacity allocation condition and carrying out capacity allocation condition analysis on the simulation allocation scheme; and the unordered allocation module 5 runs on the processor 3 and is used for performing unordered allocation on the production orders and transmitting the allocation result to the capacity analysis module 4.
The production line terminal 7 includes: and the production unit terminals 71 are respectively connected with the production management platform 1 and used for uploading production condition information and receiving order allocation instructions.
In the embodiment of the application, a production management method and a system for industrial capacity allocation have the working principle that: the production line is integrally split into a plurality of production units, and the production units with the same type of production function are combined, so that the flexibility of production order allocation is improved; the production management platform carries out irregular order allocation, simultaneously carries out simulation allocation and production line disassembly allocation of the existing production line, evaluates each allocation result to obtain an optimal scheme, improves the automation degree of the production process and ensures the allocation efficiency of the productivity.
In the embodiment of the application, the order distribution result of the existing production line and the order distribution result of each production unit after the production line is split are evaluated respectively, so that the visual degree of judging the order distribution result is improved.
The present invention and its embodiments have been described above in an illustrative manner, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. Therefore, if the person skilled in the art receives the teaching, the technical scheme and the embodiments similar to the technical scheme are not creatively designed without departing from the spirit of the invention, and the invention shall fall into the protection scope of the invention.

Claims (10)

1. A production management method for industrial capacity allocation is characterized by comprising the following steps:
step S1, analyzing the production order, identifying the production order requirement in the production order, and analyzing the production order after disassembling and disassembling;
step S2, simulating and distributing the existing production line, and simulating and distributing the production order to the existing production line;
step S3, disassembling the production line for simulation distribution, disassembling the production line, and distributing production orders based on the production units;
and step S4, screening the allocation scheme, comparing the simulated allocation results, and screening the optimal allocation result as the final capacity allocation scheme.
2. The method of claim 1, wherein the method comprises:
the step S1 includes: step S11, obtaining production order information, receiving production quantity, production requirement and delivery time by a production order receiving terminal (8), and uploading data to a production management platform (1); step S12, generating a process route, extracting and analyzing production requirement information by a process decision module, generating the process route corresponding to the production order by combining process data stored in a production process database (21), and uploading process parameters to a production management platform (1); step S13, disassembling the process route, disassembling the whole process route of the production order into a plurality of working procedures, and identifying the production function requirements corresponding to the disassembled working procedures; the production function of the production unit; step S14, analyzing the working procedures, extracting the corresponding technological parameters of the disassembled working procedures, determining the type of the production equipment corresponding to the working procedures, and obtaining the unit production time of the corresponding production unit occupied by a single product in each working procedure according to the quantity of the single batch of secondary products;
in step S11, the production requirement in the production order includes, but is not limited to: product type, product material, product size, production mode and finished product technical requirements;
in step S12, the process parameters in the generated process route include, but are not limited to: process time, process temperature, number of products produced in a single batch.
3. The method according to claim 2, wherein the method comprises:
the step S2 includes: step S21, acquiring production state information of the production lines, identifying the use condition of the allocated capacity of each existing production line by the capacity analysis module (4), and judging the capacity surplus condition of each production line by combining the maximum capacity of each production line; step S22, analyzing the matching condition of the production lines, analyzing the production service types of each production line, and matching the corresponding production lines according to the process routes of the production orders; step S23, corresponding to the production line switching analysis, confirming the switching time and the switching cost of the production line switching process route; step S24, in the first stage of distribution, the disordered distribution module (5) carries out disordered distribution on the production order process route by taking the production batch as the minimum unit according to the capacity surplus condition of each production line; and step S25, a first stage of evaluation, namely, the uploaded distribution results are subjected to distribution evaluation to obtain distribution result evaluation data.
4. The method according to claim 3, wherein the method comprises:
in step S25, the first-stage capacity allocation evaluation method includes:
Figure 916363DEST_PATH_IMAGE002
,
wherein the content of the first and second substances,
Figure 895820DEST_PATH_IMAGE004
representing the residual capacity utilization rate of a certain production line in the first-stage distribution result; i represents the production order number produced in the production line; n represents the total number of production orders produced on the production line; p is a radical ofiThe number of products in the production order denoted as number i; q. q.siThe production quantity of the single batch of products in the production order with the number i; t is tiProcess route time represented as production order number i; t' is expressed as the process switching time of the production line; t is tRExpressed as the total remaining capacity time of the production line;
Figure 675557DEST_PATH_IMAGE006
，
wherein, ω is1Capacity allocation index, ω, expressed as a result of a first stage allocation1The larger the capacity allocation effect of the classification result in the first stage, omega1The smaller the capacity distribution effect of the classification result in the first stage is, the better and worse; s represents the order number for all production orders; w represents the total number of all production orders;
Figure 867504DEST_PATH_IMAGE004
s represents the residual capacity utilization rate of the production line of the production order with the serial number s; e.g. of the typesThe difference between the delivery time and the production completion time of the production order with the number s is represented; f. ofsIs shown as a braidThe difference between the delivery time of the production order with the number s and the warehousing time of the product.
5. The method according to claim 4, wherein the method comprises:
step S3 includes: step S31, disassembling the production line into a plurality of production units, and identifying the production functions of the production units; step S32, integrating the production units of the same type, identifying the use condition of the allocated capacity of each disassembled production unit by the capacity analysis module (4), and judging the total capacity residual condition after integrating the production units of the same type according to the production process type of the production units and by combining the maximum capacity of each production unit; s33, the production processes correspond to each other, the processes disassembled according to the process route are respectively matched with corresponding production units, and the production time of the product occupying the corresponding production units in a single process is obtained; step S34, switching and analyzing the production unit processes, and confirming the process switching time of the production unit; step S35, performing second-stage distribution, namely performing disordered distribution on each procedure disassembled from the production order process route by using a production batch as a minimum unit through the disordered distribution module (5) according to the capacity surplus condition of each production unit, corresponding to the production unit of the corresponding type, and uploading the distribution result to the production management platform (1); and step S36, performing second-stage evaluation, namely performing distribution evaluation on the uploaded distribution result to obtain distribution result evaluation data.
6. The method according to claim 5, wherein the method further comprises:
in step S36, the second stage capacity allocation evaluating method includes:
Figure 681877DEST_PATH_IMAGE008
,
wherein the content of the first and second substances,
Figure 829306DEST_PATH_IMAGE010
is denoted as secondThe total remaining capacity utilization rate after the integration of a certain type of production units in the stage distribution result; j represents a production order number produced at the production unit; m represents the total number of production orders produced at the production unit; pjThe number of products in the production order denoted as number j; qjThe production quantity of a single batch of products corresponding to the production process of the type of production unit in the production order with the number j; t isjThe unit production time of the production unit of the type occupied by a single product in the production process in the production order with the number j; t' represents the process switching time of the production unit of the type; t isRExpressed as the total remaining capacity time after the type of production unit integration;
Figure 96339DEST_PATH_IMAGE012
，
wherein the content of the first and second substances,
Figure 357556DEST_PATH_IMAGE014
the remaining capacity overall utilization rate in each type of production unit expressed as a certain production order; d represents the production time in a certain type of production unit in the production order process route; f represents the total production time of the process route of the production order;
Figure DEST_PATH_IMAGE015
representing the total remaining capacity utilization rate after the integration of a certain type of production units in the production order process route;
Figure DEST_PATH_IMAGE017
，
wherein, ω is2Capacity allocation index, ω, expressed as a result of a second stage allocation1The larger the yield distribution effect of the classification result in the second stage is, omega1The smaller the yield distribution effect of the classification result in the second stage is, the better and worse; s represents the order number for all production orders; w is represented byA total number of production orders;
Figure 88751DEST_PATH_IMAGE014
s represents the residual capacity overall utilization rate of the production order with the serial number s in each type of production unit; e.g. of the typesThe difference between the delivery time and the production completion time of the production order with the number s is represented; f. ofsExpressed as the difference between the delivery time of the production order numbered s and the product warehousing time.
7. The method according to claim 6, wherein the method comprises:
the step S4 includes: step S41, summarizing and comparing the allocation results, extracting and summarizing the capacity allocation indexes of the allocation results in the first stage and the capacity allocation indexes of the allocation results in the second stage; s42, screening the optimal allocation results, performing capacity sequencing on all the allocation results, and screening the final allocation scheme with the highest capacity allocation index; and step S43, sending out a distribution instruction, and sending out an order distribution instruction to the production line and each production unit in the production line by the production management platform (1) according to the final distribution scheme.
8. A production management system for industrial capacity allocation, characterized in that the method for industrial capacity allocation production management according to any one of claims 1-7 is applied:
the production management system for industrial capacity allocation comprises: the production order management system comprises a production management platform (1), a production line terminal (7) connected with the production management platform (1) and a production order receiving terminal (8) used for receiving production order information;
the production management platform (1) comprises: a memory (2); a processor (3) connected to the memory (2); the production process database (21) is arranged in the memory (2) and is used 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; the capacity analysis module (4) runs on the processor (3) and is used for identifying the existing capacity allocation condition and analyzing the capacity allocation condition of the simulation allocation scheme; and the unordered distribution module (5) runs on the processor (3) and is used for carrying out unordered distribution on the production orders and transmitting the distribution result to the capacity analysis module (4).
9. The system of claim 8, wherein:
the production line terminal (7) comprises: and the production unit terminals (71) are respectively connected with the production management platform (1) and are used for uploading production condition information and receiving order allocation instructions.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor (3), carries out the steps of a method for industrial production diagnostics of a tree structure according to any one of claims 1 to 7.
CN202111498379.XA 2021-12-09 2021-12-09 Production management method and system for industrial capacity allocation Pending CN114169766A (en)

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CN116227896A (en) * 2023-05-08 2023-06-06 日照鲁光电子科技有限公司 Silicon carbide production process management method and system
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