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Coordination analysis of system reliability using NSGA-II: a comparative study

Author

Listed:
  • Hemant Kumar

    (Datta Meghe Institute of Higher Education and Research)

  • R. N. Prajapati

    (Chandigarh University)

Abstract

This paper addresses the challenge of achieving a balance between reliability and cost in system design, considering the uncertainties often present in real-world situations. It introduces a methodology that utilizes the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to coordinate reliability and cost objectives. Unlike traditional approaches that treat the problem as a single objective and disregard conflicting objectives, the proposed methodology leverages fuzzy set theory to handle uncertainties effectively. The step-by-step methodology is supported by an illustrative example and is compared to NSGA-II with non-coordination and the weighted sum approach. By using NSGA-II, the methodology generates a set of Pareto-optimal solutions, considering the conflicting nature of reliability and cost. This research contributes to decision-making techniques in system design by providing an efficient approach for handling uncertainties and optimizing trade-offs between reliability and cost.

Suggested Citation

  • Hemant Kumar & R. N. Prajapati, 2023. "Coordination analysis of system reliability using NSGA-II: a comparative study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2514-2526, December.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:6:d:10.1007_s13198-023-02104-x
    DOI: 10.1007/s13198-023-02104-x
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    References listed on IDEAS

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    1. Hemant Kumar & Shiv Prasad Yadav, 2017. "NSGA-II based fuzzy multi-objective reliability analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 817-825, December.
    2. Salazar, Daniel & Rocco, Claudio M. & Galván, Blas J., 2006. "Optimization of constrained multiple-objective reliability problems using evolutionary algorithms," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 1057-1070.
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