Intelligent production management scheduling system

Abstract

The invention discloses an intelligent production management order arrangement system, which belongs to the technical field of production management, and comprises an order management module, an intelligent production arrangement module, a resource integration and optimization module, a real-time monitoring and adjusting module and a data analysis and decision support module, through setting an order management module, an intelligent production scheduling module and a resource integration and optimization module, the order management module manages and grades orders during use, and the intelligent production scheduling module produces an optimal production schedule according to the order and equipment information and an algorithm. The resource integration and optimization module intelligently distributes resources by means of detailed modeling and analysis of resources such as equipment information and manpower, maximum utilization of the resources is achieved, the efficiency of production management scheduling is greatly improved, and the requirements of industry production can be met according to different equipment information.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and more specifically, to an intelligent production management scheduling system. Background Art

[0002] With the increasing pressure of energy conservation and emission reduction, the acceleration of RMB appreciation, the rise of labor costs and the shortage of labor, extensive growth industrial manufacturing enterprises will face increasing operating pressure, forcing the integration process of industrial enterprises to accelerate. This pressure will help stabilize the prices of upstream raw materials and downstream products, change the essence of the current disorderly competition of the entire industrial manufacturing enterprises to a certain extent, and bring market opportunities to enterprises with leading scale and technology in the industrial field. Therefore, the government will introduce various measures to accelerate the transformation and upgrading of industrial manufacturing enterprises and further accelerate the improvement of the global competitiveness of the industrial manufacturing industry. In addition to the external environment and the government's forced upgrading of industrial manufacturing enterprises, industrial manufacturing enterprises themselves are also facing severe tests in terms of "new product / new technology development, solving labor shortages, improving production efficiency, reducing operating costs, and green environmental protection" and other aspects to continuously improve management capabilities.

[0003] At present, there are still a large number of industrial manufacturing enterprises in my country that are in the stage of mechanized production and manual management. In order to solve the above problems, these enterprises are faced with the problems of equipment / management transformation and upgrading, informatization and intelligence, especially in production scheduling, which is the most troublesome problem for such manufacturing enterprises. At present, most manufacturing enterprises schedule production manually, which is not only inefficient but also consumes a lot of manpower. The only intelligent production management and scheduling systems can only serve a single industry and are highly targeted. Therefore, in order to solve the above problems, the existence of an intelligent production management and scheduling system is crucial. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide an intelligent production management and scheduling system, which can solve the problems raised by the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an intelligent production management and scheduling system includes an order management module, an intelligent scheduling module, a resource integration and optimization module, a real-time monitoring and adjustment module, and a data analysis and decision support module. The order management module is used to comprehensively manage various orders and quickly and accurately enter order information. The intelligent scheduling module is used to automatically generate the optimal production schedule based on order information, equipment capabilities, and human resources using advanced algorithms and data analysis technologies. The resource integration and optimization module is used to integrate and optimize production resources in detail, the real-time monitoring and adjustment module has a real-time monitoring function, and the data analysis and decision support module is used to collect, integrate and analyze various data in the production process.

[0006] Furthermore, the algorithm used by the intelligent production scheduling module is a particle swarm optimization algorithm, which is used to optimize the problem and find the optimal production schedule. The specific steps are: S1, initialize the particle swarm, including the particle position (i.e., initial production schedule), speed, and fitness value; S2, evaluate the fitness value of each particle, and update the historical best position p_id and the global best position g_d of each particle; S3, iteratively update the speed and position of the particles according to the speed update formula and the position update formula to generate a new production scheduling plan; S4. Check the termination condition. If the termination condition is met, output the global optimal position g_d as the optimal production scheduling solution; otherwise, return to S2 to continue iteration.

[0007] Furthermore, the particle swarm optimization algorithm uses a speed update formula to determine the moving direction and speed of particles in the search space. The specific formula is: in, It is a particle In the Wei Shangdi The speed of iterations, is the inertia weight, which controls the influence of the particle's current velocity on the next move. and is the learning factor, which controls the step size of the particle moving to its own historical best position and the global best position respectively. and is a random number uniformly distributed in the range [0,1]. It is a particle In the The best historical position in the dimension (i.e., the individual optimal solution), All particles in The global best position in dimension (i.e. the global optimal solution), It is a particle In the Wei Shangdi The position of the iteration.

[0008] Furthermore, the position update formula is used to calculate the new position of the particle according to the updated velocity. The specific formula is: in, It is a particle In the Wei Shangdi The position of the iteration.

[0009] Furthermore, the order management module classifies and sorts order information according to priority while entering it, so that high-priority orders can be processed in a timely manner, and production is unified according to the same production schedule for similar orders.

[0010] Furthermore, the resource integration and optimization module can perform detailed modeling and analysis on equipment, manpower, and raw material resources, and intelligently allocate resources according to order needs and production process requirements to maximize resource utilization.

[0011] Furthermore, the monitoring function of the real-time monitoring and adjustment module is used to collect data from the production site in real time, and when the current production process deviates from the plan, it will immediately start the dynamic adjustment mechanism and regenerate the scheduling plan.

[0012] Furthermore, the data analysis and decision support module can collect, integrate and analyze various data in the production process, provide data support for factories, help factories discover problems and bottlenecks in the production process, and make corresponding optimizations and improvements.

[0013] The beneficial effects of the intelligent production management and scheduling system of the present invention are: By setting up the order management module, the intelligent production scheduling module and the resource integration and optimization module, the order management module manages and grades orders during use, the intelligent production scheduling module produces the optimal production schedule based on the algorithm according to the order and equipment information, and the resource integration and optimization module utilizes the detailed modeling and analysis of equipment information and human resources to intelligently allocate resources and maximize the utilization of resources, which greatly improves the efficiency of production management scheduling and can meet the production needs of the industry based on different equipment information. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0015] Figure 1 This is a schematic diagram of the module structure of an intelligent production management and scheduling system of the present invention; Figure 2 The figure is a schematic diagram of the algorithm steps of an intelligent production management and scheduling system of the present invention. DETAILED DESCRIPTION

[0016] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] Example 1 like Figure 1-Figure 2As shown, according to one aspect of the present invention, there is provided an intelligent production management and scheduling system, including an order management module, an intelligent scheduling module, a resource integration and optimization module, a real-time monitoring and adjustment module, and a data analysis and decision support module. The order management module is used to comprehensively manage various orders and quickly and accurately input order information. The intelligent scheduling module is used to automatically generate the optimal production schedule based on order information, equipment capabilities, and human resources using advanced algorithms and data analysis technologies; The resource integration and optimization module is used to integrate and optimize production resources in detail, the real-time monitoring and adjustment module has a real-time monitoring function, and the data analysis and decision support module is used to collect, integrate and analyze various data in the production process.

[0018] In this embodiment, the particle swarm optimization algorithm is used to optimize the problem and find the optimal production schedule. The specific steps are: S1, initialize the particle swarm, including the particle position (i.e., initial production schedule), speed, and fitness value; S2, evaluate the fitness value of each particle, and update the historical best position p_id and the global best position g_d of each particle; S3, iteratively update the speed and position of the particles according to the speed update formula and the position update formula to generate a new production scheduling plan; S4. Check the termination condition. If the termination condition is met, output the global optimal position g_d as the optimal production scheduling solution; otherwise, return to S2 to continue iteration.

[0019] In this embodiment, the particle swarm optimization algorithm uses a speed update formula to determine the moving direction and speed of particles in the search space. The specific formula is: in, It is a particle In the Wei Shangdi The speed of iterations, is the inertia weight, which controls the influence of the particle's current velocity on the next move. and is the learning factor, which controls the step size of the particle moving to its own historical best position and the global best position respectively. and is a random number uniformly distributed in the range [0,1]. It is a particle In the The best historical position in the dimension (i.e., the individual optimal solution), All particles in The global best position in dimension (i.e. the global optimal solution), It is a particle In the Wei Shangdi The position of the iteration.

[0020] In this embodiment, the position update formula is used to calculate the new position of the particle according to the updated velocity. The specific formula is: in, It is a particle In the Wei Shangdi The position of the iteration.

[0021] In this embodiment, the order management module enters order information and sorts it according to priority, so that high-priority orders can be processed in a timely manner, and production is unified according to the same production schedule for similar orders.

[0022] In this embodiment, the resource integration and optimization module can perform detailed modeling and analysis on equipment, manpower, and raw material resources, and intelligently allocate resources according to order needs and production process requirements to maximize resource utilization.

[0023] In this embodiment, the monitoring function of the real-time monitoring and adjustment module is used to collect data from the production site in real time, and when the current production process deviates from the plan, it will immediately start the dynamic adjustment mechanism and regenerate the scheduling plan.

[0024] In this embodiment, the data analysis and decision support module can collect, integrate and analyze various data in the production process, provide data support for factories, help factories find problems and bottlenecks in the production process, and make corresponding optimizations and improvements.

[0025] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent production management and scheduling system, including an order management module, an intelligent scheduling module, a resource integration and optimization module, a real-time monitoring and adjustment module, and a data analysis and decision support module, characterized in that: The order management module is used to comprehensively manage various orders and quickly and accurately input order information. The intelligent production scheduling module is used to automatically generate the optimal production schedule based on order information, equipment capabilities, and human resources using advanced algorithms and data analysis technologies. The resource integration and optimization module is used to integrate and optimize production resources in detail, the real-time monitoring and adjustment module has a real-time monitoring function, and the data analysis and decision support module is used to collect, integrate and analyze various data in the production process.

2. According to claim 1, the intelligent production management and scheduling system is characterized by: The algorithm used by the intelligent production scheduling module is the particle swarm optimization algorithm, which is used to optimize the problem and find the optimal production schedule. The specific steps are: S1, initialize the particle swarm, including the particle position (i.e., initial production schedule), speed, and fitness value; S2, evaluate the fitness value of each particle, and update the historical best position p_id and the global best position g_d of each particle; S3, iteratively update the speed and position of the particles according to the speed update formula and the position update formula to generate a new production scheduling plan; S4. Check the termination condition. If the termination condition is met, output the global optimal position g_d as the optimal production scheduling solution; otherwise, return to S2 to continue iteration.

3. According to claim 2, the intelligent production management and scheduling system is characterized by: The particle swarm optimization algorithm uses the speed update formula to determine the moving direction and speed of particles in the search space. The specific formula is: in, It is a particle In the Wei Shangdi The speed of iterations, is the inertia weight, which controls the influence of the particle's current velocity on the next move. and is the learning factor, which controls the step size of the particle moving to its own historical best position and the global best position respectively. and is a random number uniformly distributed in the range [0,1]. It is a particle In the The best historical position in the dimension (i.e., the individual optimal solution), All particles in The global best position in dimension (i.e. the global optimal solution), It is a particle In the Wei Shangdi The position of the iteration.

4. The intelligent production management and scheduling system according to claim 3 is characterized by: The position update formula is used to calculate the new position of the particle according to the updated velocity. The specific formula is: in, It is a particle In the Wei Shangdi The position of the iteration.

5. The intelligent production management and scheduling system according to claim 1 is characterized by: The order management module enters order information and sorts it according to priority, so that high-priority orders can be processed in a timely manner, and production is unified according to the same production schedule for similar orders.

6. The intelligent production management and scheduling system according to claim 1 is characterized by: The resource integration and optimization module can perform detailed modeling and analysis on equipment, manpower, and raw material resources, and intelligently allocate resources according to order demands and production process requirements to maximize resource utilization.

7. The intelligent production management and scheduling system according to claim 1 is characterized by: The monitoring function of the real-time monitoring and adjustment module is used to collect data from the production site in real time, and if the current production process deviates from the plan, it will immediately start the dynamic adjustment mechanism and regenerate the scheduling plan.

8. The intelligent production management and scheduling system according to claim 1 is characterized by: The data analysis and decision support module can collect, integrate and analyze various data in the production process, provide data support for factories, help factories find problems and bottlenecks in the production process, and make corresponding optimizations and improvements.

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