Intelligent production planning and scheduling collaborative optimization system

Abstract

The present invention discloses an intelligent production scheduling and coordination optimization system, which belongs to the technical field of production scheduling optimization, and includes: a data acquisition module for collecting real-time resource data of manufacturing enterprises; a data processing module for processing real-time resource data of manufacturing enterprises; an intelligent production scheduling module for coordinating and managing real-time resource data of manufacturing enterprises and generating intelligent production scheduling plans for manufacturing enterprises; a monitoring and early warning module for real-time monitoring of the entire production and manufacturing process and early warning management of abnormal production and manufacturing behaviors; a collaborative optimization module for dynamically adjusting the intelligent production scheduling plans of manufacturing enterprises, optimizing resource utilization, integrating the production, inventory and sales information of manufacturing enterprises, and enabling information sharing and collaborative operations in various links. The present invention solves the problem that the prior art cannot realize intelligent optimization of production scheduling plans, resulting in low production efficiency and market competitiveness. The present invention can realize intelligent optimization of production scheduling plans, and can improve production efficiency and market competitiveness.

Description

Technical Field

[0001] The present invention relates to the technical field of production scheduling optimization, and in particular to an intelligent production scheduling planning and dispatching collaborative optimization system. Background Art

[0002] Traditional production planning and scheduling methods can no longer meet the needs of modern enterprises.

[0003] The Chinese patent with publication number CN116797172A discloses a method and device for processing a production schedule, which includes: obtaining a target order and generating a demand plan; if executed based on an automatic production scheduling method, obtaining the number of stacks, the stacking occupancy time and stacking occupancy of each stack, the target number of available target cabins of each target occupied ship in at least one target occupied ship, the target cabin capacity of each target cabin, and the unit transport volume of each transport line in at least one material taking line; importing the stacking number, stacking occupancy time, stacking occupancy, target cabin number, target cabin capacity and unit transport volume into a trained production scheduling model, generating a target production schedule, storing and executing the target production schedule, which can greatly reduce the amount of information manually processed, thereby improving execution efficiency; however, the patent has the following defects:

[0004] Existing technologies cannot achieve intelligent optimization of production schedules, resulting in low production efficiency and market competitiveness. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent production scheduling and coordinated optimization system, which can realize intelligent optimization of production scheduling, improve production efficiency and market competitiveness, and solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Intelligent production scheduling and coordination optimization system, including:

[0008] The data collection module is used to collect the human resources, equipment resources and material resources in the production process of the manufacturing enterprise and determine the real-time resource data of the manufacturing enterprise;

[0009] A data processing module is used to process the real-time resource data of the manufacturing enterprise and determine the standardized real-time resource data of the manufacturing enterprise;

[0010] The intelligent production scheduling module is used to coordinate and manage the real-time resource data of manufacturing enterprises according to order business needs and generate intelligent production scheduling plans for manufacturing enterprises;

[0011] The monitoring and early warning module is used to monitor the entire production process of the manufacturing enterprise in real time and to conduct early warning management of abnormal production behaviors of the manufacturing enterprise;

[0012] The collaborative optimization module is used to dynamically adjust the intelligent production scheduling of manufacturing enterprises, optimize resource utilization, and integrate the production, inventory and sales information of manufacturing enterprises, so that all links of manufacturing enterprises can share information and work collaboratively.

[0013] Preferably, the data acquisition module comprises:

[0014] The human resource collection unit is used to collect the human resource situation of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain human resource data;

[0015] The equipment resource collection unit is used to collect the equipment resource status of the manufacturing enterprise in the production process in real time based on the intelligent monitoring equipment to obtain equipment resource data;

[0016] The material resource collection unit is used to collect the material resource conditions of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain material resource data;

[0017] Among them, the human resource data, equipment resource data and material resource data in the production process of the manufacturing enterprise are integrated to determine the real-time resource data of the manufacturing enterprise.

[0018] Preferably, the data processing module includes:

[0019] Data cleaning unit, used to clean the real-time resource data of manufacturing enterprises;

[0020] Includes: checking data consistency, handling invalid and missing values;

[0021] Check data consistency: Perform consistency check on the real-time resource data of manufacturing enterprises based on data quality tools to check whether there are inconsistent data in the real-time resource data of manufacturing enterprises, and remove the inconsistent data in the real-time resource data of manufacturing enterprises;

[0022] Processing invalid values: Perform invalid value checks on real-time resource data of manufacturing enterprises based on data quality tools to check whether there are invalid values ​​in the real-time resource data of manufacturing enterprises, and remove the invalid values ​​in the real-time resource data of manufacturing enterprises;

[0023] Processing missing values: Perform missing value checks on the real-time resource data of manufacturing enterprises based on data quality tools to verify whether there are missing values ​​in the real-time resource data of manufacturing enterprises, and remove the missing values ​​in the real-time resource data of manufacturing enterprises.

[0024] Preferably, the data processing module further includes:

[0025] A data conversion unit, used to convert the real-time resource data of the manufacturing enterprise;

[0026] Including format unification, data integration and storage;

[0027] Format unification: Based on the business needs and data usage scenarios of manufacturing enterprises, determine data standards, including data type, data format, data length, data unit and data encoding. According to the data standards, convert the real-time resource data of manufacturing enterprises into a unified format, eliminate the dimensional differences between the real-time resource data of manufacturing enterprises, and determine standardized real-time resource data of manufacturing enterprises;

[0028] Data integration: Integrate the standardized real-time resource data of manufacturing enterprises so that the standardized real-time resource data of manufacturing enterprises are stored in the same view;

[0029] Data storage: Store the integrated real-time resource data of manufacturing enterprises.

[0030] Preferably, the intelligent production scheduling module includes:

[0031] A demand acquisition unit is used to acquire the order business demand of the manufacturing enterprise based on the customer management database;

[0032] The plan generation unit is used to generate intelligent production scheduling plans for manufacturing enterprises based on order business requirements;

[0033] Analyze the real-time resource data of manufacturing enterprises according to their order business needs;

[0034] Integrate the human resources, equipment resources and material resources in the production process of manufacturing enterprises, coordinate and manage the real-time resource data of manufacturing enterprises, optimize the real-time resource data configuration of manufacturing enterprises, automatically generate intelligent production scheduling plans for manufacturing enterprises, and carry out production and manufacturing based on the intelligent production scheduling plans of manufacturing enterprises.

[0035] Preferably, the plan generating unit comprises:

[0036] An information acquisition unit is used to obtain the production volume, production time and production specifications from the order business requirements, obtain the current production tasks and current production plans of the manufacturing enterprise, and obtain the current idle manpower, current idle equipment and material distribution status of the manufacturing enterprise;

[0037] A material analysis unit, used to determine the production materials required to complete a single production based on the production specifications, determine the total production materials based on the generated quantity, and determine the minimum time to complete the order business requirements based on the material distribution situation, and determine the target manpower and target equipment required to complete the order business requirements within the minimum time;

[0038] A judging unit, used for judging whether the currently idle manpower and currently idle equipment can meet the target manpower and target equipment;

[0039] If yes, establishing an intelligent production scheduling plan for the manufacturing enterprise based on the minimum time;

[0040] Otherwise, the intelligent production scheduling plan of the manufacturing enterprise is established by combining the production time of the order business requirements, the current production tasks and current production plan of the manufacturing enterprise;

[0041] A process setting unit is used to comprehensively analyze the order business requirements and the current production tasks when the current idle manpower and the current idle equipment do not meet the minimum manpower and the minimum equipment, determine multiple processes, sort the multiple processes based on process characteristics to obtain multiple process sequence groups, and select the process sequence group to be analyzed that can be met based on the current manpower, current equipment and material distribution conditions of the manufacturing enterprise;

[0042] The planning analysis unit is used to input the initial production schedule determined by each process sequence group to be analyzed and the pre-set production schedule cost calculation model to obtain the production cost corresponding to each initial production schedule, and determine the production efficiency of each initial production schedule based on the preset completion time of the process, and select the optimal production schedule from the initial production schedule based on actual demand, combined with production cost and production efficiency;

[0043] The plan generation unit is used to extract the production data related to the order business requirements from the optimal production schedule to generate an intelligent production schedule for the manufacturing enterprise, and to extract the production data related to the current production task from the optimal production schedule as the latest production plan for the current production task.

[0044] Preferably, the monitoring and early warning module includes:

[0045] Real-time monitoring unit, used to monitor the entire production process of manufacturing enterprises in real time;

[0046] When manufacturing enterprises carry out production according to the intelligent production scheduling plan of the manufacturing enterprises, the entire production process of the manufacturing enterprises is monitored in real time based on intelligent monitoring equipment to determine whether there are abnormal behaviors in the entire production process of the manufacturing enterprises and determine the real-time monitoring results of the production of the manufacturing enterprises;

[0047] Early warning management unit, used to conduct early warning management of abnormal production and manufacturing behaviors of manufacturing enterprises;

[0048] Obtain real-time monitoring results of manufacturing enterprises’ production;

[0049] When abnormal behavior is identified in the entire production process of a manufacturing enterprise, an early warning alarm is automatically triggered and the early warning information is transmitted to the management personnel of the manufacturing enterprise in a timely manner.

[0050] Preferably, the collaborative optimization module includes:

[0051] The scheduling optimization unit is used to dynamically adjust the intelligent production scheduling plan of manufacturing enterprises and optimize resource utilization, including:

[0052] Real-time monitoring of manufacturing enterprise production site data: Real-time monitoring of the raw material arrival time, material inventory, number of work-in-progress, production line operation status, employee working hours and employee attendance during the entire production process of the manufacturing enterprise to determine the manufacturing enterprise production site data;

[0053] Compare with the manufacturing enterprise's intelligent production scheduling plan targets: Compare the real-time monitored manufacturing enterprise's production site data with the original production plan targets, find out where they are not in line with the production plan targets, and determine if the actual production situation of the manufacturing enterprise has changed;

[0054] Analyze the reasons: For any discrepancy with the production plan target, analyze the reasons in depth to confirm whether it is caused by changes in customer demand or raw material supply issues;

[0055] Adjustment plan: Based on the reasons obtained through analysis, the production plan is modified, the use of the production line is adjusted, and a stocking mechanism is introduced to dynamically adjust the intelligent production scheduling plan of the manufacturing enterprise;

[0056] Re-evaluate the plan: After dynamically adjusting the intelligent production scheduling plan of the manufacturing enterprise, re-evaluate the feasibility and effectiveness of the plan to determine whether the production cycle can be shortened, whether it will affect product quality, and whether it can meet customer needs;

[0057] Update plan: After re-evaluating the plan, if the dynamically adjusted plan is better, it is necessary to update the manufacturing enterprise's intelligent production scheduling plan and apply the updated manufacturing enterprise's intelligent production scheduling plan to the entire production process of the manufacturing enterprise. When executing the manufacturing enterprise's intelligent production scheduling plan, adjust the manufacturing enterprise's intelligent production scheduling plan at any time according to the real-time monitoring results of the manufacturing enterprise's production and manufacturing to adapt to the changing production and manufacturing environment of the manufacturing enterprise.

[0058] Preferably, the collaborative optimization module further includes:

[0059] Collaborative sharing unit, used to integrate the production, inventory and sales information of manufacturing enterprises, so that all links of manufacturing enterprises can share information and work collaboratively;

[0060] The interface display unit is used to intuitively display the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information to users in a visual form, so that users can understand the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information in real time.

[0061] Preferably, the specific steps of establishing the intelligent production scheduling plan for the manufacturing enterprise based on the minimum time are:

[0062] Obtain the production scheduling steps under the minimum time, target manpower and target equipment, and determine the time and cost of each production scheduling step, and determine the score value of intelligent production scheduling based on the time and cost of the production scheduling steps and according to the following formula;

[0063] ;

[0064] in, represents the score of intelligent production scheduling, n represents the number of production scheduling steps, and e represents the natural constant, which is 2.72. Represents the cost weight, with a value of (0, 1). represents the preset cost, represents the cost of the i-th scheduling step, Represents the time weight, with a value of (0, 1). Indicates the preset time. represents the time of the i-th scheduling step;

[0065] Determine whether the score value of the intelligent production scheduling is greater than a preset score value;

[0066] If so, generating an intelligent production scheduling plan for the manufacturing enterprise based on the production scheduling steps under the minimum time, target manpower and target equipment;

[0067] Otherwise, based on the cost difference between labor cost and equipment cost, as well as the maximum cost and maximum time of a single production scheduling step, the adjustment range of intelligent production scheduling is calculated according to the following formula;

[0068] ;

[0069] in, Indicates the adjustment range of intelligent production scheduling. Represents the cost difference between labor cost and equipment cost, represents the preset average single cost, Indicates the preset average single time, represents the maximum cost of a single scheduling step, Indicates the maximum time of a single scheduling step;

[0070] Based on the adjustment range of the intelligent production scheduling, the target manpower and target equipment are adjusted in combination with the order business needs to obtain the latest manpower and the latest equipment, and the latest intelligent production scheduling corresponding to the latest manpower and the latest equipment is verified based on the scoring value of the latest intelligent production scheduling. After the verification is passed, the intelligent production scheduling plan of the manufacturing enterprise is generated based on the scheduling steps of the latest intelligent production scheduling. Otherwise, it is adjusted again until the verification is met.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] 1. The present invention determines the real-time resource data of the manufacturing enterprise by collecting the human resources, equipment resources and material resources in the production process of the manufacturing enterprise, determines the standardized real-time resource data of the manufacturing enterprise by processing the real-time resource data of the manufacturing enterprise, analyzes the real-time resource data of the manufacturing enterprise according to the order business needs of the manufacturing enterprise, integrates the human resources, equipment resources and material resources in the production process of the manufacturing enterprise, coordinates and manages the real-time resource data of the manufacturing enterprise, optimizes the real-time resource data configuration of the manufacturing enterprise, automatically generates an intelligent production scheduling plan for the manufacturing enterprise, and performs production and manufacturing based on the intelligent production scheduling plan of the manufacturing enterprise.

[0073] 2. The present invention uses intelligent monitoring equipment to monitor the entire production process of a manufacturing enterprise in real time, judge whether there is abnormal behavior in the entire production process of the manufacturing enterprise, and determine the real-time monitoring results of the manufacturing enterprise's production. When abnormal behavior is identified in the entire production process of the manufacturing enterprise, an early warning alarm is automatically triggered, and the early warning information is transmitted to the management personnel of the manufacturing enterprise in a timely manner. The intelligent production scheduling plan of the manufacturing enterprise is dynamically adjusted to optimize resource utilization, integrate the production, inventory and sales information of the manufacturing enterprise, and enable each link of the manufacturing enterprise to share information and collaborate, thereby realizing intelligent optimization of the production scheduling plan and improving production efficiency and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a structural block diagram of the intelligent production scheduling and dispatching collaborative optimization system of the present invention. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] In order to solve the problem that existing technologies cannot achieve intelligent optimization of production scheduling, resulting in low production efficiency and market competitiveness, please refer to Figure 1 , this embodiment provides the following technical solutions: Example

[0077] The intelligent production scheduling and dispatching collaborative optimization system includes: data acquisition module, data processing module and intelligent production scheduling module.

[0078] It should be noted that the human resources, equipment resources and material resources in the production process of the manufacturing enterprise are collected through the data collection module to determine the real-time resource data of the manufacturing enterprise; the real-time resource data of the manufacturing enterprise is processed through the data processing module to determine the standardized real-time resource data of the manufacturing enterprise; the real-time resource data of the manufacturing enterprise is coordinated and managed according to the order business needs through the intelligent production scheduling module, and the manufacturing enterprise's intelligent production scheduling plan is generated. Production and manufacturing are carried out based on the manufacturing enterprise's intelligent production scheduling plan to ensure the efficiency and accuracy of the production process.

[0079] In this embodiment, the data acquisition module includes:

[0080] The human resource collection unit is used to collect the human resource situation of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain human resource data;

[0081] The equipment resource collection unit is used to collect the equipment resource status of the manufacturing enterprise in the production process in real time based on the intelligent monitoring equipment to obtain equipment resource data;

[0082] The material resource collection unit is used to collect the material resource conditions of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain material resource data;

[0083] Among them, the human resource data, equipment resource data and material resource data in the production process of the manufacturing enterprise are integrated to determine the real-time resource data of the manufacturing enterprise.

[0084] In this embodiment, the data processing module includes:

[0085] Data cleaning unit, used to clean the real-time resource data of manufacturing enterprises;

[0086] Includes: checking data consistency, handling invalid and missing values;

[0087] Check data consistency: Perform consistency check on the real-time resource data of manufacturing enterprises based on data quality tools to check whether there are inconsistent data in the real-time resource data of manufacturing enterprises, and remove the inconsistent data in the real-time resource data of manufacturing enterprises;

[0088] Processing invalid values: Perform invalid value checks on real-time resource data of manufacturing enterprises based on data quality tools to check whether there are invalid values ​​in the real-time resource data of manufacturing enterprises, and remove the invalid values ​​in the real-time resource data of manufacturing enterprises;

[0089] Processing missing values: Perform missing value checks on the real-time resource data of manufacturing enterprises based on data quality tools to verify whether there are missing values ​​in the real-time resource data of manufacturing enterprises, and remove the missing values ​​in the real-time resource data of manufacturing enterprises.

[0090] It should be noted that by cleaning the real-time resource data of manufacturing enterprises, inconsistent data, invalid values ​​and missing values ​​in the real-time resource data of manufacturing enterprises can be removed, and the subsequent processing accuracy and efficiency of the real-time resource data of manufacturing enterprises can be improved.

[0091] In this embodiment, the data processing module further includes:

[0092] A data conversion unit, used to convert the real-time resource data of the manufacturing enterprise;

[0093] Including format unification, data integration and storage;

[0094] Format unification: Based on the business needs and data usage scenarios of manufacturing enterprises, determine data standards, including data type, data format, data length, data unit and data encoding. According to the data standards, convert the real-time resource data of manufacturing enterprises into a unified format, eliminate the dimensional differences between the real-time resource data of manufacturing enterprises, and determine standardized real-time resource data of manufacturing enterprises;

[0095] Data integration: Integrate the standardized real-time resource data of manufacturing enterprises so that the standardized real-time resource data of manufacturing enterprises are stored in the same view;

[0096] Data storage: Store the integrated real-time resource data of manufacturing enterprises.

[0097] It should be noted that by converting the real-time resource data of manufacturing enterprises, standardized real-time resource data of manufacturing enterprises can be determined, which is convenient for subsequent analysis of the real-time resource data of manufacturing enterprises.

[0098] In this embodiment, the intelligent production scheduling module includes:

[0099] A demand acquisition unit is used to acquire the order business demand of the manufacturing enterprise based on the customer management database;

[0100] The plan generation unit is used to generate intelligent production scheduling plans for manufacturing enterprises based on order business requirements;

[0101] Analyze the real-time resource data of manufacturing enterprises according to their order business needs;

[0102] In this embodiment, the plan generating unit includes:

[0103] An information acquisition unit is used to obtain the production volume, production time and production specifications from the order business requirements, obtain the current production tasks and current production plans of the manufacturing enterprise, and obtain the current idle manpower, current idle equipment and material distribution status of the manufacturing enterprise;

[0104] A material analysis unit, used to determine the production materials required to complete a single production based on the production specifications, determine the total production materials based on the generated quantity, and determine the minimum time to complete the order business requirements based on the material distribution situation, and determine the target manpower and target equipment required to complete the order business requirements within the minimum time;

[0105] A judging unit, used for judging whether the currently idle manpower and currently idle equipment can meet the target manpower and target equipment;

[0106] If yes, establishing an intelligent production scheduling plan for the manufacturing enterprise based on the minimum time;

[0107] Otherwise, the intelligent production scheduling plan of the manufacturing enterprise is established by combining the production time of the order business requirements, the current production tasks and the current production plan of the manufacturing enterprise;

[0108] A process setting unit is used to comprehensively analyze the order business requirements and the current production tasks when the current idle manpower and the current idle equipment do not meet the minimum manpower and the minimum equipment, determine multiple processes, sort the multiple processes based on process characteristics to obtain multiple process sequence groups, and select the process sequence group to be analyzed that can be met based on the current manpower, current equipment and material distribution conditions of the manufacturing enterprise;

[0109] The planning analysis unit is used to input the initial production schedule determined by each process sequence group to be analyzed and the pre-set production schedule cost calculation model to obtain the production cost corresponding to each initial production schedule, and determine the production efficiency of each initial production schedule based on the preset completion time of the process, and select the optimal production schedule from the initial production schedule based on actual demand, combined with production cost and production efficiency;

[0110] The plan generation unit is used to extract the production data related to the order business requirements from the optimal production schedule to generate an intelligent production schedule for the manufacturing enterprise, and to extract the production data related to the current production task from the optimal production schedule as the latest production plan for the current production task.

[0111] In this embodiment, the current production tasks and current production plans of the manufacturing enterprise are tasks and production schedules being executed.

[0112] In this embodiment, the minimum time to complete the order business requirement is determined based on the material delivery situation and is related to the delivery time and delivery quantity of each material.

[0113] The beneficial effect of the above design scheme is: by taking cost and time as factors in generating the intelligent production scheduling plan for the manufacturing enterprise according to the order business needs, integrating the human resources, equipment resources and material resources in the production process of the manufacturing enterprise, and considering the impact of the current production tasks and the current production plan on the current order business needs, analyzing the individual order business needs when there is no impact, and comprehensively analyzing the order business needs and the current production tasks when there is an impact, and finally obtaining the intelligent production scheduling plan for the manufacturing enterprise, ensuring that the obtained intelligent production scheduling plan for the manufacturing enterprise can meet the needs in terms of cost and time, ensuring the quality and efficiency of production scheduling, and conducting comprehensive analysis and scheduling under the premise of having other production tasks, so as not to affect other production tasks, ensuring the flexibility and accuracy of intelligent scheduling, and ensuring the efficiency and accuracy of the production process.

[0114] In this embodiment, the specific steps of establishing the intelligent production scheduling plan for the manufacturing enterprise based on the minimum time are:

[0115] Obtain the production scheduling steps under the minimum time, target manpower and target equipment, and determine the time and cost of each production scheduling step, and determine the score value of intelligent production scheduling based on the time and cost of the production scheduling steps and according to the following formula;

[0116] ;

[0117] in, represents the score of intelligent production scheduling, n represents the number of production scheduling steps, and e represents the natural constant, which is 2.72. Represents the cost weight, with a value of (0, 1). represents the preset cost, represents the cost of the i-th scheduling step, Represents the time weight, with a value of (0, 1). Indicates the preset time. represents the time of the i-th scheduling step;

[0118] Determine whether the score value of the intelligent production scheduling is greater than a preset score value;

[0119] If so, generating an intelligent production scheduling plan for the manufacturing enterprise based on the production scheduling steps under the minimum time, target manpower and target equipment;

[0120] Otherwise, based on the cost difference between labor cost and equipment cost, as well as the maximum cost and maximum time of a single production scheduling step, the adjustment range of intelligent production scheduling is calculated according to the following formula;

[0121] ;

[0122] in, Indicates the adjustment range of intelligent production scheduling. Represents the cost difference between labor cost and equipment cost, represents the preset average single cost, Indicates the preset average single time, represents the maximum cost of a single scheduling step, Indicates the maximum time of a single scheduling step;

[0123] Based on the adjustment range of the intelligent production scheduling, the target manpower and target equipment are adjusted in combination with the order business needs to obtain the latest manpower and the latest equipment, and the latest intelligent production scheduling corresponding to the latest manpower and the latest equipment is verified based on the scoring value of the latest intelligent production scheduling. After the verification is passed, the intelligent production scheduling plan of the manufacturing enterprise is generated based on the scheduling steps of the latest intelligent production scheduling. Otherwise, it is adjusted again until the verification is met.

[0124] In this embodiment, the verification method based on the score value of the latest intelligent production scheduling is the same as the verification method of the production scheduling step under the minimum time, target manpower and target equipment.

[0125] In this embodiment, the cost weight and the time weight are predetermined according to actual needs.

[0126] In this embodiment, the preset average single cost and the preset average single time are the average cost and time of a single production scheduling step. The larger the maximum cost of a single production scheduling step and the maximum time of a single production scheduling step, the greater the local differences in intelligent production scheduling are and can be adjusted.

[0127] In this embodiment, the preset cost and the preset time are pre-estimated optimal cost and optimal time.

[0128] In this embodiment, based on the adjustment range of the intelligent production scheduling, the target manpower and target equipment are adjusted in combination with the order business requirements. The specific method is to first adjust the number of target manpower and target equipment, and verify it through the order business requirements to ensure that the latest intelligent production scheduling meets the order business requirements. The greater the adjustment range of the intelligent production scheduling, the greater the adjustment of the target manpower and target equipment, and the greater the difference between the scheduling steps of the latest intelligent production scheduling generated and the original scheduling steps.

[0129] The beneficial effect of the above design scheme is: by establishing an intelligent production scheduling plan for a manufacturing enterprise based on time, cost, manpower and equipment under the premise of minimum time, and using time and cost as evaluation indicators for evaluation and adjustment during the establishment process, ultimately obtaining an intelligent production scheduling plan for the manufacturing enterprise based on the minimum time, ensuring that the obtained intelligent production scheduling plan for the manufacturing enterprise is optimal, realizing coordinated management of the intelligent production scheduling plan for the manufacturing enterprise, and ensuring the efficiency and accuracy of the production process.

[0130] Integrate the human resources, equipment resources and material resources in the production process of manufacturing enterprises, coordinate and manage the real-time resource data of manufacturing enterprises, optimize the real-time resource data configuration of manufacturing enterprises, automatically generate intelligent production scheduling plans for manufacturing enterprises, and carry out production and manufacturing based on the intelligent production scheduling plans of manufacturing enterprises to ensure the efficiency and accuracy of the production process.

[0131] It should be noted that integrating the human resources, equipment resources and material resources in the production process of manufacturing enterprises, coordinating and managing the real-time resource data of manufacturing enterprises, optimizing the real-time resource data configuration of manufacturing enterprises, and automatically generating intelligent production scheduling plans for manufacturing enterprises can make the best use of resources.

[0132] Embodiment 2

[0133] Intelligent production scheduling and dispatching collaborative optimization system, including: monitoring and early warning module and collaborative optimization module.

[0134] It should be noted that the monitoring and early warning module can be used to monitor the entire production and manufacturing process of the manufacturing enterprise in real time, and to carry out early warning management of abnormal production and manufacturing behaviors of the manufacturing enterprise; the collaborative optimization module can be used to dynamically adjust the intelligent production scheduling plan of the manufacturing enterprise, optimize resource utilization, and integrate the production, inventory and sales information of the manufacturing enterprise, so that all links of the manufacturing enterprise can share information and collaborate, thereby realizing intelligent optimization of the production scheduling plan and improving production efficiency and market competitiveness.

[0135] In this embodiment, the monitoring and early warning module includes:

[0136] Real-time monitoring unit, used to monitor the entire production process of manufacturing enterprises in real time;

[0137] When manufacturing enterprises carry out production according to the intelligent production scheduling plan of the manufacturing enterprises, the entire production process of the manufacturing enterprises is monitored in real time based on intelligent monitoring equipment to determine whether there are abnormal behaviors in the entire production process of the manufacturing enterprises and determine the real-time monitoring results of the production of the manufacturing enterprises;

[0138] Early warning management unit, used to conduct early warning management of abnormal production and manufacturing behaviors of manufacturing enterprises;

[0139] Obtain real-time monitoring results of manufacturing enterprises’ production;

[0140] When abnormal behavior is identified in the entire production process of a manufacturing enterprise, an early warning alarm is automatically triggered, and the early warning information is transmitted to the management personnel of the manufacturing enterprise in a timely manner, so that the management personnel of the manufacturing enterprise can formulate response measures in time to reduce the possibility of production interruption.

[0141] In this embodiment, the collaborative optimization module includes:

[0142] The scheduling optimization unit is used to dynamically adjust the intelligent production scheduling plan of manufacturing enterprises, optimize resource utilization, reduce production bottlenecks, and improve production efficiency. Specifically, it includes:

[0143] Real-time monitoring of manufacturing enterprise production site data: Real-time monitoring of the raw material arrival time, material inventory, number of work-in-progress, production line operation status, employee working hours and employee attendance during the entire production process of the manufacturing enterprise to determine the manufacturing enterprise production site data;

[0144] Compare with the manufacturing enterprise's intelligent production scheduling plan targets: Compare the real-time monitored manufacturing enterprise's production site data with the original production plan targets, find out where they are not in line with the production plan targets, and determine if the actual production situation of the manufacturing enterprise has changed;

[0145] Analyze the reasons: For any discrepancy with the production plan target, analyze the reasons in depth to confirm whether it is caused by changes in customer demand or raw material supply issues;

[0146] Adjustment plan: Based on the reasons obtained through analysis, the production plan is modified, the use of the production line is adjusted, and a stocking mechanism is introduced to dynamically adjust the intelligent production scheduling plan of the manufacturing enterprise;

[0147] Re-evaluate the plan: After dynamically adjusting the intelligent production scheduling plan of the manufacturing enterprise, re-evaluate the feasibility and effectiveness of the plan to determine whether the production cycle can be shortened, whether it will affect product quality, and whether it can meet customer needs;

[0148] Update plan: After re-evaluating the plan, if the dynamically adjusted plan is better, it is necessary to update the manufacturing enterprise's intelligent production scheduling plan and apply the updated manufacturing enterprise's intelligent production scheduling plan to the entire production process of the manufacturing enterprise. When executing the manufacturing enterprise's intelligent production scheduling plan, adjust the manufacturing enterprise's intelligent production scheduling plan at any time according to the real-time monitoring results of the manufacturing enterprise's production and manufacturing to adapt to the changing production and manufacturing environment of the manufacturing enterprise.

[0149] In this embodiment, the collaborative optimization module further includes:

[0150] Collaborative sharing unit is used to integrate the production, inventory and sales information of manufacturing enterprises, so that each link of the manufacturing enterprise can share information and work together to achieve the best allocation of resources and reduce production costs;

[0151] The interface display unit is used to intuitively display the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information to users in a visual form, so that users can understand the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information in real time. By providing rich data reports and visualization tools, it can help manufacturing enterprise managers make more informed decisions.

[0152] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0153] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent production scheduling and coordination optimization system, characterized by: include: The data collection module is used to collect the human resources, equipment resources and material resources in the production process of the manufacturing enterprise and determine the real-time resource data of the manufacturing enterprise; A data processing module is used to process the real-time resource data of the manufacturing enterprise and determine the standardized real-time resource data of the manufacturing enterprise; The intelligent production scheduling module is used to coordinate and manage the real-time resource data of manufacturing enterprises according to order business needs and generate intelligent production scheduling plans for manufacturing enterprises; The monitoring and early warning module is used to monitor the entire production process of the manufacturing enterprise in real time and to conduct early warning management of abnormal production behaviors of the manufacturing enterprise; Collaborative optimization module, which is used to dynamically adjust the intelligent production scheduling plan of manufacturing enterprises, optimize resource utilization, and integrate the production, inventory and sales information of manufacturing enterprises, so that all links of manufacturing enterprises can share information and work collaboratively; The intelligent production scheduling module includes: A demand acquisition unit is used to acquire the order business demand of the manufacturing enterprise based on the customer management database; The plan generation unit is used to generate intelligent production scheduling plans for manufacturing enterprises based on order business requirements; Analyze the real-time resource data of manufacturing enterprises according to their order business needs; The plan generating unit comprises: An information acquisition unit is used to obtain the production volume, production time and production specifications from the order business requirements, obtain the current production tasks and current production plans of the manufacturing enterprise, and obtain the current idle manpower, current idle equipment and material distribution status of the manufacturing enterprise; A material analysis unit, used to determine the production materials required to complete a single production based on the production specifications, determine the total production materials based on the generated quantity, and determine the minimum time to complete the order business requirements based on the material distribution situation, and determine the target manpower and target equipment required to complete the order business requirements within the minimum time; A judging unit, used for judging whether the currently idle manpower and currently idle equipment can meet the target manpower and target equipment; If yes, establishing an intelligent production scheduling plan for the manufacturing enterprise based on the minimum time; Otherwise, an intelligent production schedule for the manufacturing enterprise is established by combining the production time of the order business requirements, the current production tasks and current production plans of the manufacturing enterprise; A process setting unit is used to comprehensively analyze the order business requirements and the current production tasks when the current idle manpower and the current idle equipment do not meet the minimum manpower and the minimum equipment, determine multiple processes, sort the multiple processes based on process characteristics to obtain multiple process sequence groups, and select the process sequence group to be analyzed that can be met based on the current manpower, current equipment and material distribution conditions of the manufacturing enterprise; The planning analysis unit is used to input the initial production schedule determined by each process sequence group to be analyzed and the pre-set production schedule cost calculation model to obtain the production cost corresponding to each initial production schedule, and determine the production efficiency of each initial production schedule based on the preset completion time of the process, and select the optimal production schedule from the initial production schedule based on actual demand, combined with production cost and production efficiency; A plan generation unit, used to extract the production data related to the order business demand from the optimal production schedule to generate an intelligent production schedule for the manufacturing enterprise, and to extract the production data related to the current production task from the optimal production schedule as the latest production plan for the current production task; The specific steps of establishing the intelligent production scheduling plan for the manufacturing enterprise based on the minimum time are: Obtain the production scheduling steps under the minimum time, target manpower and target equipment, and determine the time and cost of each production scheduling step, and determine the score value of intelligent production scheduling based on the time and cost of the production scheduling steps and according to the following formula; ； in, represents the score of intelligent production scheduling, n represents the number of production scheduling steps, and e represents the natural constant, which is 2.

72. represents the cost weight, with a value of (0, 1). represents the preset cost, represents the cost of the i-th scheduling step, represents the time weight, the value is (0, 1), Indicates the preset time. represents the time of the i-th scheduling step; Determine whether the score value of the intelligent production scheduling is greater than a preset score value; If so, generating an intelligent production scheduling plan for the manufacturing enterprise based on the production scheduling steps under the minimum time, target manpower and target equipment; Otherwise, based on the cost difference between labor cost and equipment cost, as well as the maximum cost and maximum time of a single production scheduling step, the adjustment range of intelligent production scheduling is calculated according to the following formula; ； in, Indicates the adjustment range of intelligent production scheduling. Represents the cost difference between labor cost and equipment cost, represents the preset average single cost, Indicates the preset average single time, represents the maximum cost of a single scheduling step, Indicates the maximum time of a single scheduling step; Based on the adjustment range of the intelligent production scheduling, the target manpower and target equipment are adjusted in combination with the order business needs to obtain the latest manpower and the latest equipment, and the latest intelligent production scheduling corresponding to the latest manpower and the latest equipment is verified based on the scoring value of the latest intelligent production scheduling. After the verification is passed, the intelligent production scheduling plan of the manufacturing enterprise is generated based on the scheduling steps of the latest intelligent production scheduling. Otherwise, it is adjusted again until the verification is met.

2. The intelligent production scheduling and dispatching collaborative optimization system according to claim 1 is characterized in that: The data acquisition module comprises: The human resource collection unit is used to collect the human resource situation of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain human resource data; The equipment resource collection unit is used to collect the equipment resource status of the manufacturing enterprise in the production process in real time based on the intelligent monitoring equipment to obtain equipment resource data; The material resource collection unit is used to collect the material resource conditions of the manufacturing enterprise in the production process in real time based on intelligent monitoring equipment to obtain material resource data; Among them, the human resource data, equipment resource data and material resource data in the production process of the manufacturing enterprise are integrated to determine the real-time resource data of the manufacturing enterprise.

3. The intelligent production scheduling and dispatching collaborative optimization system according to claim 2 is characterized in that: The data processing module comprises: Data cleaning unit, used to clean the real-time resource data of manufacturing enterprises; Includes: checking data consistency, handling invalid and missing values; Check data consistency: Perform consistency check on the real-time resource data of manufacturing enterprises based on data quality tools to check whether there are inconsistent data in the real-time resource data of manufacturing enterprises, and remove the inconsistent data in the real-time resource data of manufacturing enterprises; Processing invalid values: Perform invalid value checks on real-time resource data of manufacturing enterprises based on data quality tools to check whether there are invalid values ​​in the real-time resource data of manufacturing enterprises, and remove the invalid values ​​in the real-time resource data of manufacturing enterprises; Processing missing values: Perform missing value checks on the real-time resource data of manufacturing enterprises based on data quality tools to verify whether there are missing values ​​in the real-time resource data of manufacturing enterprises, and remove the missing values ​​in the real-time resource data of manufacturing enterprises.

4. The intelligent production scheduling and dispatching collaborative optimization system according to claim 3 is characterized in that: The data processing module further includes: A data conversion unit, used to convert the real-time resource data of the manufacturing enterprise; Including format unification, data integration and storage; Format unification: Based on the business needs and data usage scenarios of manufacturing enterprises, determine data standards, including data type, data format, data length, data unit and data encoding. According to the data standards, convert the real-time resource data of manufacturing enterprises into a unified format, eliminate the dimensional differences between the real-time resource data of manufacturing enterprises, and determine standardized real-time resource data of manufacturing enterprises; Data integration: Integrate the standardized real-time resource data of manufacturing enterprises so that the standardized real-time resource data of manufacturing enterprises are stored in the same view; Data storage: Store the integrated real-time resource data of manufacturing enterprises.

5. The intelligent production scheduling and dispatching collaborative optimization system according to claim 4 is characterized in that: The monitoring and early warning module includes: Real-time monitoring unit, used to monitor the entire production process of manufacturing enterprises in real time; When manufacturing enterprises carry out production according to the intelligent production scheduling plan of the manufacturing enterprises, the entire production process of the manufacturing enterprises is monitored in real time based on intelligent monitoring equipment to determine whether there are abnormal behaviors in the entire production process of the manufacturing enterprises and determine the real-time monitoring results of the production of the manufacturing enterprises; Early warning management unit, used to conduct early warning management of abnormal production and manufacturing behaviors of manufacturing enterprises; Obtain real-time monitoring results of manufacturing enterprises’ production; When abnormal behavior is identified in the entire production process of a manufacturing enterprise, an early warning alarm is automatically triggered and the early warning information is transmitted to the management personnel of the manufacturing enterprise in a timely manner.

6. The intelligent production scheduling and dispatching collaborative optimization system according to claim 5 is characterized in that: The collaborative optimization module comprises: The scheduling optimization unit is used to dynamically adjust the intelligent production scheduling plan of manufacturing enterprises and optimize resource utilization, including: Real-time monitoring of manufacturing enterprise production site data: Real-time monitoring of the raw material arrival time, material inventory, number of work-in-progress, production line operation status, employee working hours and employee attendance during the entire production process of the manufacturing enterprise to determine the manufacturing enterprise production site data; Compare with the manufacturing enterprise's intelligent production scheduling plan targets: Compare the real-time monitored manufacturing enterprise's production site data with the original production plan targets, find out where they are not in line with the production plan targets, and determine if the actual production situation of the manufacturing enterprise has changed; Analyze the reasons: For any discrepancy with the production plan target, analyze the reasons and confirm whether it is caused by changes in customer demand or raw material supply issues; Adjustment plan: Based on the reasons obtained through analysis, the production plan is modified, the use of the production line is adjusted, and a stocking mechanism is introduced to dynamically adjust the intelligent production scheduling plan of the manufacturing enterprise; Re-evaluate the plan: After dynamically adjusting the intelligent production scheduling plan of the manufacturing enterprise, re-evaluate the feasibility and effectiveness of the plan to determine whether the production cycle can be shortened, whether it will affect product quality, and whether it can meet customer needs; Update plan: After re-evaluating the plan, if the dynamically adjusted plan is better, it is necessary to update the manufacturing enterprise's intelligent production scheduling plan and apply the updated manufacturing enterprise's intelligent production scheduling plan to the entire production process of the manufacturing enterprise. When executing the manufacturing enterprise's intelligent production scheduling plan, adjust the manufacturing enterprise's intelligent production scheduling plan at any time according to the real-time monitoring results of the manufacturing enterprise's production and manufacturing to adapt to the changing production and manufacturing environment of the manufacturing enterprise.

7. The intelligent production scheduling and dispatching collaborative optimization system according to claim 6 is characterized in that: The collaborative optimization module further includes: Collaborative sharing unit, used to integrate the production, inventory and sales information of manufacturing enterprises, so that all links of manufacturing enterprises can share information and work collaboratively; The interface display unit is used to intuitively display the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information to users in a visual form, so that users can understand the manufacturing enterprise's intelligent production scheduling, production, inventory and sales information in real time.

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