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Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization

Author

Listed:
  • Jianwen Guo
  • Zhenzhong Sun
  • Hong Tang
  • Xuejun Jia
  • Song Wang
  • Xiaohui Yan
  • Guoliang Ye
  • Guohong Wu

Abstract

All equipment must be maintained during its lifetime to ensure normal operation. Maintenance is one of the critical roles in the success of manufacturing enterprises. This paper proposed a preventive maintenance period optimization model (PMPOM) to find an optimal preventive maintenance period. By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. The test functions show that the proposed algorithm exhibits more outstanding performance than particle swarm optimization and cuckoo search. Experiment results show that the proposed algorithm has advantages of strong optimization ability and fast convergence speed to solve the PMPOM problem.

Suggested Citation

  • Jianwen Guo & Zhenzhong Sun & Hong Tang & Xuejun Jia & Song Wang & Xiaohui Yan & Guoliang Ye & Guohong Wu, 2016. "Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-12, February.
    • Handle: RePEc:hin:jnddns:1516271
    DOI: 10.1155/2016/1516271
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    References listed on IDEAS

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    1. Chareonsuk, Chaichan & Nagarur, Nagen & Tabucanon, Mario T., 1997. "A multicriteria approach to the selection of preventive maintenance intervals," International Journal of Production Economics, Elsevier, vol. 49(1), pages 55-64, March.
    2. DEDOPOULOS, Illias & SMEERS, Yves, 1998. "An age reduction appraoch for finite horizon optimization of preventive maintenance for single units subject to random failures," LIDAM Reprints CORE 1318, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. A.N. Das & S.P. Sarmah, 2010. "Preventive replacement models: an overview and their application in process industries," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(3), pages 280-307.
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