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A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system

Author

Listed:
  • Cheng-Ta Yeh

    (Fu Jen Catholic University)

  • Louis Cheng-Lu Yeng

    (National Yang Ming Chiao Tung University)

  • Yi-Kuei Lin

    (National Yang Ming Chiao Tung University
    Asia University
    Chaoyang University of Technology
    Graphic Era Deemed to Be University)

  • Yu-Lun Chao

    (National Yang Ming Chiao Tung University)

Abstract

Machine configuration is a crucial strategic decision in designing a flow shop system (FSS) and directly affects its performance. This involves selecting device suppliers and determining the number of machines to be configured. This study addresses a bi-objective optimization problem for an FSS that considers repair actions and aims to determine the most suitable machine configuration that balances the production reliability and purchase cost. A nondominated sorting genetic algorithm II (NSGA-II) is used to determine all the Pareto solutions. The technique for order preference by similarity to an ideal solution is then used to identify a compromise alternative. It is necessary to assess the production reliability of any machine configuration identified by the NSGA-II. The FSS under the machine configuration is modeled as a multistate flow shop network, and Absorbing Markov Chain and Recursive Sum of Disjoint Products are integrated into the NSGA-II for reliability evaluation. The experimental results of solar cell manufacturing demonstrate the applicability of the proposed hybrid method and validate the efficiency of the NSGA-II compared with an improved strength Pareto evolutionary algorithm.

Suggested Citation

  • Cheng-Ta Yeh & Louis Cheng-Lu Yeng & Yi-Kuei Lin & Yu-Lun Chao, 2024. "A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system," Annals of Operations Research, Springer, vol. 340(1), pages 643-669, September.
    • Handle: RePEc:spr:annopr:v:340:y:2024:i:1:d:10.1007_s10479-023-05813-5
    DOI: 10.1007/s10479-023-05813-5
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