A production process device scheduling optimization method for process industry

By creating an ordered set of production lists in the process industry, using Dijkstra's algorithm to calculate the shortest processing path and optimize production scheduling, the problem of optimizing total processing time in the process industry is solved, resource utilization and production efficiency are improved, and a reasonable production scheduling plan is provided.

CN117148788BActive Publication Date: 2026-07-21SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP
Filing Date
2023-05-25
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively optimize total processing time in process industries, leading to a disconnect between production scheduling and control, increasing enterprise costs and reducing production efficiency.

Method used

By forming an ordered set of production lists, using Dijkstra's algorithm to calculate the shortest processing path, and deleting lists with longer processing times during the optimization process, a method for optimizing equipment scheduling in the process industry is designed. The method takes the total processing time as the optimization objective and combines the actual needs and resource constraints of the enterprise to achieve fast and effective scheduling.

Benefits of technology

It achieves optimized scheduling in the process industry with the goal of minimizing total processing time, improves resource utilization and production efficiency, provides reasonable production scheduling plans, reduces algorithm execution time, and enhances enterprise production efficiency.

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Abstract

The application discloses a production process equipment scheduling optimization method for a process industry. The production process equipment scheduling optimization method for the process industry can meet the actual needs of enterprises in production and realizes optimized scheduling. After fully considering the influences of enterprise production changes and other related factors, the scheduling target is properly selected, the number of parameters and variables is reduced, the constraint conditions are reasonably simplified, and a scheduling system fully combining with the characteristics of the enterprise is designed by skillfully applying a fast and effective optimization algorithm meeting the requirements. The application establishes a production scheduling model with the shortest total processing completion time as the optimization target in the production scheduling problem of the process industry.
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