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Flexible job shop dual resource scheduling problem considering loading and unloading

WU Xiu-li1 XIAO Xiao1 ZHAO Ning1

(1.School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China 100083)

【Abstract】A flexible job shop dual resource scheduling problem considering fixture’s loading and unloading is proposed to solve the problems of low utilization rate of manufacturing resources, long non-processing time and difficult scheduling in a “research and production mixed line” job shop. Firstly, the mathematical optimization model of the problem is established to minimize the makespan and setup time. Then, a non-dominated sorting genetic algorithm is proposed to solve it. The decoding algorithm to reduce setup time is designed to balance the two objectives. The operator is randomly selected from the crossover operator pool and the variation operator pool, and the next generation is selected according to the non-dominated level and the crowding degree. Finally, the results of numerical experiment show that the proposed algorithm can solve the problem effectively.

【Keywords】 research and production mixed line; flexible job shop scheduling problem; dual resource scheduling; fixture; setup time;


【Funds】 National Natural Science Foundation of China (51305024) National Defense Basic Scientific Research program of China (JCKY2018209C002)

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This Article


CN: 21-1124/TP

Vol 35, No. 10, Pages 2475-2485

October 2020


Article Outline


  • 0 Introduction
  • 1 The optimization model of FJSDRSP-LU
  • 2 The improved NSGA-II Based on the decoding algorithm for setup-time reduction
  • 3 Numerical experiments
  • 4 Conclusions
  • References