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A redundancy allocation problem by using utility function method and ant colony optimization: tradeoff between availability and total cost

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  • Ali Salmasnia

    (University of Qom)

  • Sadegh Noori

    (Eyvanekey University)

  • Hadi Mokhtari

    (University of Kashan)

Abstract

Redundancy allocation problem includes selection of several redundant components for allocating to a system; to maximize the availability, by considering the system constrains. In this regard, traditional prioritization methods have been presented which mainly addressed single-objective optimization. Moreover, the presented methods, due to have high number of solutions, are practically limited and selection of the best solution among the efficient solutions is typically complicated. In this study, the availability and the cost of system are regarded as objective functions. The corrective maintenance and all-unit discount for buying the substituted components are considered in the model. To optimize the presented model, a solution prioritizing method with utility function and ant colony optimization will be presented. The method is a robust one in the case of existence of a relationship between availability and system cost. Finally, the corrective maintenance and all-unit discount of the proposed method will be investigated and the results will be examined in a numerical example.

Suggested Citation

  • Ali Salmasnia & Sadegh Noori & Hadi Mokhtari, 2019. "A redundancy allocation problem by using utility function method and ant colony optimization: tradeoff between availability and total cost," 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. 10(3), pages 416-428, June.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:3:d:10.1007_s13198-019-00800-1
    DOI: 10.1007/s13198-019-00800-1
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    References listed on IDEAS

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    Cited by:

    1. Rajesh Paramanik & Nirmal Kumar & Sanat Kumar Mahato, 2022. "Solution for the optimality of an intuitionistic fuzzy redundancy allocation problem for complex system using Yager’s ranking method of defuzzification with soft computation," 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. 13(2), pages 615-624, April.
    2. Desmond Eseoghene Ighravwe & Sunday Ayoola Oke, 2019. "An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking," 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. 10(6), pages 1615-1626, December.

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