Optimization and Simulation of Adaptive Production Scheduling Based on Hybrid Decision-making Mechanism

Authors

Zhicheng Ji, Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi 214122, China; School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Zhen Quan, Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi 214122, China; School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Yan Wang, Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi 214122, China; School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

Abstract

Abstract: To optimize flexible production scheduling with the objectives of the longest makespan, mean tardiness, and bottleneck machine processing load rate, a hybrid decision-making mechanism scheduling algorithm was proposed based on the decision complexity and constraint characteristics of machine assignment and task sequencing. The algorithm adopted a two-dimensional chromosome to encode machine assignment and a heuristic rule to evaluate task sequencing priority, enhancing the adaptability of the method to decision-making optimization. In order to further improve the performance of the proposed scheduling method, an adaptive rule strategy was designed based on the distribution of processing time required for waiting scheduling tasks to achieve dynamic adaptability of the decision-making to scheduling scenarios, thereby improving the comprehensive advantage level of global optimization. Experimental tests show that the proposed method helps to improve the optimization efficiency of scheduling and provides non-dominated solution sets occupying higher dominant positions.

Recommended Citation

Ji, Zhicheng; Quan, Zhen; and Wang, Yan (2025) "Optimization and Simulation of Adaptive Production Scheduling Based on Hybrid Decision-making Mechanism," Journal of System Simulation: Vol. 37: Iss. 7, Article 12.
DOI: 10.16182/j.issn1004731x.joss.25-0452
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss7/12

First Page

1791

Last Page

1803

CLC

TP18

Recommended Citation

Ji Zhicheng, Quan Zhen, Wang Yan. Optimization and Simulation of Adaptive Production Scheduling Based on Hybrid Decision-making Mechanism[J]. Journal of System Simulation, 2025, 37(7): 1791-1803.

Corresponding Author

Quan Zhen

DOI

10.16182/j.issn1004731x.joss.25-0452