Production scheduling method and production scheduling device for casting production and electronic equipment

Abstract

The invention discloses a production scheduling method and device for casting production and electronic equipment, belongs to the technical field of casting production information, and aims to solve the problem that management and control of all production procedures in the casting production process are lack of systematicity, dynamics and dataling.The production scheduling method comprises the steps that a sand box resource database is established and used for recording data of sand boxes, dynamically deploying the sand boxes by using a resource scheduling algorithm and / or updating a sand box use plan in real time according to production requirements and sand box states; the production line layout is analyzed, the site use condition is simulated in combination with the technological process, and the layout of equipment and logistics paths is optimized; analyzing the bottleneck process, and performing flow reconstruction or resource redistribution on the bottleneck process through data collection and processing; establishing a material database for adapting and managing materials; and intelligent production scheduling and scheduling are conducted, specifically, an advanced optimization algorithm is adopted to conduct intelligent production scheduling and scheduling on casting production. Production resources in the whole casting production process are effectively integrated, and all production procedures are optimized.

Description

Technical Field

[0001] The invention relates to the field of casting production management, and in particular to a casting production scheduling method. Background Art

[0002] In traditional foundry production, production scheduling mostly relies on experience and judgment, lacking systematic, data-based, and dynamic production scheduling support. Most existing technologies only focus on a single production factor, such as sandbox utilization or process time optimization, and fail to fully consider the comprehensive impact of factors such as sandbox, site, bottleneck process, and material. This leads to deficiencies in resource allocation and time management in the full-process production scheduling, which in turn affects production efficiency and product quality. Summary of the invention

[0003] In view of the lack of systematic, dynamic and data-based management and control of the above-mentioned production factors in the entire casting process, it is necessary to propose a production scheduling device and method for casting production, so as to realize the efficient operation of casting production, reduce production management costs and improve product quality.

[0004] A production scheduling method for casting production, comprising:

[0005] Establish a sand box resource database to record the size, capacity, usage status, historical maintenance records, etc. of the sand box, and use the resource scheduling algorithm to dynamically allocate the sand box and / or update the sand box usage plan in real time according to production demand and sand box status;

[0006] Analyze the production line layout, simulate the site usage in combination with the process flow, optimize the equipment and logistics paths, and achieve the production line layout with the shortest production cycle, thereby reducing logistics costs and shortening logistics time;

[0007] Analyze bottleneck processes, collect and process data, and use process analysis tools to identify and mark bottleneck processes in the production process; and use engineering optimization theory to restructure the process or reallocate resources for bottleneck processes to improve the processing speed and quality control capabilities of key processes;

[0008] Establish a material database for material adaptation and management, so that materials can be matched according to the performance requirements of castings, that is, the materials required for the corresponding castings to be produced are matched with the castings to be produced, which facilitates the collection and transportation of materials;

[0009] Intelligent production scheduling and dispatching, based on the establishment of sand box resource database, analysis of production line layout, analysis of bottleneck processes and establishment of material database, adopts advanced optimization algorithms to carry out intelligent production scheduling and dispatching of casting production, forming a production scheduling plan and dispatching plan for castings, that is, a production scheduling plan.

[0010] Through the implementation of this method, dynamic management and system management of casting production process data are realized.

[0011] Furthermore, in the intelligent production scheduling and dispatching step, it also includes dynamically adjusting the production scheduling and dispatching plan of the castings according to the real-time data of the casting production process, so as to reduce the queuing problem in the production process.

[0012] Furthermore, the steps of optimizing the smelting process using the engineering optimization theory include:

[0013] S01, the process analysis tool determined that the smelting process was the bottleneck process of casting production;

[0014] S02, by setting up an automatic batching system, an automatic pouring machine, a casting process design management system and a manufacturing execution system in the smelting process, the process reconstruction and resource allocation of the smelting process are realized, that is, automatic batching, automatic pouring and automatic transfer of sand boxes in the smelting process are realized, avoiding the problems of unstable quality of molten metal and high operational risk caused by manual batching and manual pouring, and improving the refined control capabilities of the smelting process, and realizing the traceability of the entire smelting process.

[0015] Furthermore, the advanced optimization algorithm may be a genetic algorithm, and the steps of the genetic algorithm include:

[0016] S11, initializing the population, randomly generating an initial population of chromosomes constituting the algorithm according to each process of casting production, wherein the initial population represents an initial production scheduling plan;

[0017] S12, calculate fitness, calculate the fitness function for each chromosome;

[0018] S13, selection, selecting chromosomes from the initial population according to fitness to generate the next generation of chromosomes;

[0019] S14, crossover, exchanges some genes between selected chromosomes through the crossover operation to generate new chromosomes;

[0020] S15, mutation, performing a mutation operation on the new chromosome to introduce new genetic information;

[0021] S16, iteration, repeating the selection, crossover and mutation steps until a chromosome that meets the conditions is generated. The set condition is that the maximum number of iterations is reached or the fitness is no longer significantly improved;

[0022] S17, output the optimal solution and select the chromosome with the highest fitness as the final production scheduling plan.

[0023] Furthermore, the chromosome is a multidimensional array, and each dimension of the array corresponds to a process of casting production, that is, Chromosome = [S, F, B, M], where S is a sand box array, indicating the distribution of different types of sand boxes; F is a site array, indicating the use of different sites; B is a bottleneck process array, indicating the processing order and time of the bottleneck process; M is a material array, indicating the demand and distribution of different materials.

[0024] Furthermore, the fitness function F is suitable for multiple objectives, that is, it is suitable for each process of casting production, which is specifically expressed as formula 1:

[0025] F(Chromosome)=-1 / (Efficiency(S,F,B,M)+∈)-Cost(S,F,B,M) / (Utilization(S,F,B,M)+∈)................................(Formula 1), where,

[0026] Efficiency refers to production efficiency, which is related to the process completion time and order completion speed;

[0027] Cost refers to the production cost, including the cost of materials, labor and equipment;

[0028] Utilization refers to the utilization rate of resources, such as the efficiency of using sand boxes, sites and materials;

[0029] ∈ is a very small positive number to ensure that the denominator is not zero.

[0030] A production scheduling device for casting production, comprising:

[0031] The sand box management module is used to manage various sand boxes used in the casting process. For example, it can record the size, capacity, usage status, historical maintenance records, etc. of the sand boxes, and can use resource scheduling algorithms to dynamically allocate sand boxes, or update the sand box usage plan in real time according to production needs and sand box status;

[0032] Site planning module, which plans the production line layout according to the casting process and production site to achieve the highest utilization rate of production equipment and the shortest logistics path;

[0033] The bottleneck process analysis module uses process analysis tools to find and mark the bottleneck processes in the production process, and uses engineering optimization theory to reconstruct the process and / or reallocate resources for the bottleneck processes, thus achieving high-speed processing and quality control of key processes;

[0034] The material adaptation and management module is used to run the material database, realize the tracking of the entire path of materials from storage, outbound to use, and can match materials with castings, improve the efficiency of material outbound storage, and facilitate the collection and transportation of materials;

[0035] The intelligent production scheduling module adopts an advanced optimization algorithm to produce a production schedule for castings, wherein the production schedule includes a production plan and a scheduling plan.

[0036] By deploying the production scheduling device for casting production in casting production, the collection and processing of various data on the production site is realized. By processing the collected on-site data, dynamic, systematic and data-based management of casting production is realized, which improves the quality level of the casting production site and reduces production management costs.

[0037] An electronic device includes a computer program, a memory and a processor, wherein the computer program is used to execute the production scheduling method, the memory is used to store the computer program, and the processor is used to execute the computer program. Specifically, the computer program is a program written for the production scheduling method.

[0038] An electronic device comprises the production scheduling device for casting production, and specifically the production scheduling device is arranged on the memory, which is the hardware foundation and support of the production scheduling device.

[0039] The beneficial effects of the technical solution of the present invention are as follows: the production scheduling method described in the present invention effectively integrates the production resources in the whole process of casting production, optimizes each production process, improves production efficiency, shortens production cycle, improves product production quality, and reduces production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the production scheduling method for casting production;

[0041] Figure 2 It is a schematic diagram of the production scheduling device for casting production. DETAILED DESCRIPTION

[0042] In order to more clearly illustrate the technical solution of the present invention, the technical solution of the invention content is described in detail in conjunction with the accompanying drawings. Obviously, the following descriptions are some typical embodiments of the present invention. For ordinary technicians in this field, other solutions can be obtained based on these embodiments without paying creative work.

[0043] Now, taking the production of a casting as an example, a typical implementation of the present invention is produced.

[0044] In one embodiment, the production scheduling method for casting production comprises:

[0045] Establish a sand box resource database to record the size, capacity, usage status, historical maintenance records, etc. of the sand box, and use the resource scheduling algorithm to dynamically allocate the sand box and / or update the sand box usage plan in real time according to production demand and sand box status;

[0046] Analyze the production line layout, simulate the site usage in combination with the process flow, optimize the equipment and logistics paths, and achieve the production line layout with the shortest production cycle, thereby reducing logistics costs and shortening logistics time;

[0047] Analyze the bottleneck process, through data collection and processing, use process analysis tools to identify and mark the bottleneck process in the production process; and use engineering optimization theory to reconstruct the process or reallocate resources for the bottleneck process to improve the processing speed and quality control ability of the key process; in this embodiment, the process analysis tool can be a six sigma method, that is, through the six sigma design or six sigma improvement method, sort out the various processes of casting production and find the bottleneck process in the casting production process. The bottleneck processes marked here are the smelting process and the condensation boxing process. These two processes have the longest beats in the entire casting production process, which seriously affects the overall production efficiency of the casting;

[0048] A material database is established for the adaptation and management of materials, so that the materials can be matched according to the performance requirements of the castings, that is, the materials required for the corresponding castings to be produced are matched with the castings to be produced, which facilitates the collection and transportation of materials; in this embodiment, the material database obtains material information, material information required at the casting process nodes and the production plan of the production site from the warehouse, the casting process design management system and the manufacturing execution system, so as to achieve the adaptation and management of the materials required for each process, realize the efficient matching of materials, and avoid the on-site chaos caused by the materials being transported to the production site in advance or the problem of on-site production waiting for materials;

[0049] Intelligent production scheduling and dispatching, based on the establishment of the sand box resource database, analysis of the production line layout, analysis of the bottleneck process and establishment of the material database, uses advanced optimization algorithms to intelligently schedule and dispatch the production of castings, forming a production schedule and dispatch plan for castings, that is, a production scheduling plan. For example, for the smelting process, the properties of the molten metals that need to be smelted in the same period can be compared, and the materials with the same number of required materials can be scheduled to the same furnace, and the molten metals with matching performance can be scheduled to the same furnace, thereby effectively improving the smelting efficiency; further, according to the production cycle of the products to be produced, the same or similar products can be scheduled in the same production period to facilitate smelting in the same furnace, thereby improving the smelting efficiency in disguise.

[0050] As a supplement to this embodiment, in the intelligent production scheduling and dispatching step, it also includes dynamically adjusting the production scheduling and dispatching plan of the castings according to the real-time data of the casting production process, so as to reduce the queuing problem in the production process. For example, the production scheduling plan can be adjusted in real time according to the capacity analysis data, and the capacity analysis data includes standard capacity, scheduled capacity and in-process capacity.

[0051] As a supplement to this embodiment, the steps of optimizing the smelting process using the engineering optimization theory include:

[0052] S01, the process analysis tool determined that the smelting process was the bottleneck process of casting production;

[0053] S02, by setting up an automatic batching system, an automatic pouring machine, a casting process design management system and a manufacturing execution system in the smelting process, the process reconstruction and resource allocation of the smelting process are realized, that is, automatic batching, automatic pouring and automatic transfer of sand boxes in the smelting process are realized, avoiding the problems of unstable quality of molten metal and high operational risk caused by manual batching and manual pouring, and improving the refined control capabilities of the smelting process, and realizing the traceability of the entire smelting process.

[0054] As a supplement to this implementation, the advanced optimization algorithm may be a genetic algorithm, and the steps of the genetic algorithm include:

[0055] S11, initializing the population, randomly generating an initial population of chromosomes constituting the algorithm according to each process of casting production, wherein the initial population represents an initial production scheduling plan;

[0056] S12, calculate fitness, calculate the fitness function for each chromosome;

[0057] S13, selection, selecting chromosomes from the initial population according to fitness to generate the next generation of chromosomes;

[0058] S14, crossover, exchanges some genes between selected chromosomes through the crossover operation to generate new chromosomes;

[0059] S15, mutation, performing a mutation operation on the new chromosome to introduce new genetic information;

[0060] S16, iteration, repeating the selection, crossover and mutation steps until a chromosome that meets the conditions is generated. The set condition is that the maximum number of iterations is reached or the fitness is no longer significantly improved;

[0061] S17, output the optimal solution and select the chromosome with the highest fitness as the final production scheduling plan.

[0062] As a further supplement to this embodiment, the chromosome is a multidimensional array, and each dimension of the array corresponds to a process of casting production, that is, Chromosome = [S, F, B, M], where S is a sand box array, indicating the allocation of different types of sand boxes; F is a site array, indicating the usage of different sites; B is a bottleneck process array, indicating the processing order and time of the bottleneck process; M is a material array, indicating the demand and allocation of different materials.

[0063] Further supplementing this embodiment, the fitness function F is adapted to multiple objectives, that is, it is applicable to each process of casting production, which is specifically expressed as Formula 1:

[0064] F(Chromosome)=-1 / (Efficiency(S,F,B,M)+∈)-Cost(S,F,B,M) / (Utilization(S,F,B,M)+∈)................................(Formula 1), where,

[0065] Efficiency refers to production efficiency, which is related to the process completion time and order completion speed;

[0066] Cost refers to the production cost, including the cost of materials, labor and equipment;

[0067] Utilization refers to the utilization rate of resources, such as the efficiency of using sand boxes, sites and materials;

[0068] ∈ is a very small positive number to ensure that the denominator is not zero.

[0069] In another embodiment, the production scheduling device for casting production comprises:

[0070] The sand box management module is used to manage various sand boxes used in the casting process. For example, it can record the size, capacity, usage status, historical maintenance records, etc. of the sand boxes, and can use resource scheduling algorithms to dynamically allocate sand boxes, or update the sand box usage plan in real time according to production needs and sand box status;

[0071] Site planning module, which plans the production line layout according to the casting process and production site to achieve the highest utilization rate of production equipment and the shortest logistics path;

[0072] The bottleneck process analysis module uses process analysis tools to find and mark the bottleneck processes in the production process, and uses engineering optimization theory to reconstruct the process and / or reallocate resources for the bottleneck processes, thus achieving high-speed processing and quality control of key processes;

[0073] The material adaptation and management module is used to run the material database, realize the tracking of the entire path of materials from storage, outbound to use, and can match materials with castings, improve the efficiency of material outbound storage, and facilitate the collection and transportation of materials;

[0074] The intelligent production scheduling module adopts an advanced optimization algorithm to produce a production schedule for castings, wherein the production schedule includes a production plan and a scheduling plan.

[0075] In another embodiment, an electronic device includes a computer program, a memory, and a processor, wherein the computer program is used to execute the production scheduling method, the memory is used to store the computer program, and the processor is used to execute the computer program. Specifically, the computer program is a program written for the production scheduling method.

[0076] A supplement to this embodiment is an electronic device, including the production scheduling device for casting production, and specifically the production scheduling device is arranged on the memory, which is the hardware foundation and support of the production scheduling device.

[0077] The above embodiments are merely descriptions of a typical application of the technical solution of the present invention, and reasonable expansion can be carried out on a reasonable basis without requiring creative work.

Claims

1. A production scheduling method for casting production, characterized in that: include, Establish a sand box resource database to record various data of the sand box, and use the resource scheduling algorithm to dynamically allocate the sand box and / or update the sand box usage plan in real time according to production demand and sand box status; Analyze the production line layout, simulate the site usage in combination with the process flow, optimize the equipment and logistics paths, and achieve the production line layout with the shortest production cycle, thereby reducing logistics costs and shortening logistics time; Analyze bottleneck processes, collect and process data, and use process analysis tools to identify and mark bottleneck processes in the production process; and use engineering optimization theory to restructure the process or reallocate resources for bottleneck processes to improve the processing speed and quality control capabilities of key processes; Establish a material database for material adaptation and management, so that materials can be matched according to the performance requirements of castings; Intelligent production scheduling and dispatching, based on the establishment of sand box resource database, analysis of production line layout, analysis of bottleneck processes and establishment of material database, uses advanced optimization algorithms to perform intelligent production scheduling and dispatching of casting production.

2. The method for scheduling casting production according to claim 1, characterized in that: The intelligent production scheduling and dispatching step also includes dynamically adjusting the production schedule and dispatching plan of the castings according to the real-time data of the casting production process, thereby reducing the queuing problem in the production process.

3. The method for scheduling casting production according to claim 1, characterized in that: The steps of optimizing the smelting process using the engineering optimization theory include: S01, the process analysis tool determined that the smelting process was the bottleneck process of casting production; S02, by setting up an automatic dosing system, an automatic pouring machine, a casting process design management system and a manufacturing execution system in the smelting process, the process reconstruction and resource allocation of the smelting process are realized.

4. The method for scheduling casting production according to claim 1, characterized in that: The advanced optimization algorithm may be a genetic algorithm, and the steps of the genetic algorithm include: S11, initializing the population, randomly generating an initial population of chromosomes constituting the algorithm according to each process of casting production, wherein the initial population represents an initial production scheduling plan; S12, calculate fitness, calculate the fitness function for each chromosome; S13, selection, selecting chromosomes from the initial population according to fitness to generate the next generation of chromosomes; S14, crossover, exchanges some genes between selected chromosomes through the crossover operation to generate new chromosomes; S15, mutation, performing a mutation operation on the new chromosome to introduce new genetic information; S16, iteration, repeating the selection, crossover and mutation steps until a chromosome that meets the conditions is generated. The set condition is that the maximum number of iterations is reached or the fitness is no longer significantly improved; S17, output the optimal solution and select the chromosome with the highest fitness as the final production scheduling plan.

5. The method for scheduling casting production according to claim 4, characterized in that: The chromosome is a multi-dimensional array, and each dimension of the array corresponds to a process of casting production.

6. The method for scheduling casting production according to claim 5, characterized in that: The fitness function F is suitable for multiple objectives and is expressed as F(Chromosome)=-1 / (Efficiency(S,F,B,M)+∈)-Cost(S,F,B,M) / (Utilization(S,F,B,M)+∈).

7. A production scheduling device for casting production, characterized in that: include, Sand box management module, used to manage various sand boxes used in the casting process; Site planning module, which plans the production line layout according to the casting process and production site; The bottleneck process analysis module uses process analysis tools to find and mark the bottleneck processes in the production process, and uses engineering optimization theory to reconstruct the process and / or reallocate resources for the bottleneck processes, thus achieving high-speed processing and quality control of key processes; The material adaptation and management module is used to run the material database, realize the tracking of the entire path of materials from storage, outbound to use, and can match materials with castings, improve the efficiency of material outbound storage, and facilitate the collection and transportation of materials; The intelligent production scheduling module adopts an advanced optimization algorithm to produce a production plan for castings, wherein the production plan includes a production schedule and a scheduling plan.

8. An electronic device for casting production, characterized in that: It comprises a computer program, a memory and a processor, wherein the computer program is used to execute the production scheduling method as claimed in any one of claims 1 to 6, the memory is used to store the computer program, and the processor is used to execute the computer program.

9. The electronic device for casting production according to claim 8, characterized in that: It comprises a production scheduling device for the casting production, and the production scheduling device is arranged on the storage.

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