Modern Manufacturing Engineering ›› 2018, Vol. 453 ›› Issue (6): 32-38.doi: 10.16731/j.cnki.1671-3133.2018.06.006

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Solving integrated optimization of equipment maintenance and FJSP based on hierarchical biogeography-based algorithm

Zha Jing1,2, Jin Hua1,2, Wu Zhengjia1,2, Pan Zhicheng1,2   

  1. 1 College of Mechanical and Power,China Three Gorges University,Yichang 443002,Hubei,China;
    2 Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University,Yichang 443002,Hubei,China
  • Received:2017-03-10 Online:2018-06-18 Published:2018-07-20

Abstract: In order to explore the effect of machine failures on tardiness delivery and product quality declining in MTO( Make To Order) environment,an integrated model to jointly determine equipment maintenance planning and Flexible Job-shop Scheduling Problem(FJSP) was established to minimize tardiness penalty cost and maximum product quality rate.Proposed a new hierarchical biogeography-based algorithm to solve the problem,which divided solution spaces into up and low level.In this algorithm,hierarchical iteration evolutions and multi-local search polices were designed,which accelerated the convergence speed and improved the quality of optimization.Compared with the Genetic Algorithm (GA) and Biogeography-Based Optimization (BBO ) algorithm,experimental results show that the approach is effective.

Key words: Flexible Job-shop Scheduling Problem (FJSP), equipment maintenance, hierarchical biogeography-based algorithm, multi-local search polices

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