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An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking

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  • Desmond Eseoghene Ighravwe

    (University of Johannesburg)

  • Sunday Ayoola Oke

    (University of Lagos)

Abstract

In spite of proliferation of maintenance work-force research, the maintenance community has deficient insight into the technicians’ selection process. Building on studies focusing on technical crew selection and uncertainties, this paper offers a framework to potentially remedy this lack. First, the establishment of a fuzzy-rooted structure and connection of it with step-wise weight assessment ratio analysis (SWARA) and complex proportional assessment of alternatives (COPRAS) can enlarge the research community’s comprehension of the competent selection process and could be initiated and completed by selection teams for maintenance technicians. Second, the put forward structure confronts the widespread description of where to obtain technicians, directing attention from the steps-to-selection to mere sources of obtaining technicians. Thus, this paper establishes the manner, in a particular context that the integration of fuzzy-SWARA and COPRAS could add to the research community’s perception of tackling uncertainties all around the maintenance technicians, while building on ideas from the human resource management literature as well as the technical engineering literature.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:6:d:10.1007_s13198-019-00912-8
    DOI: 10.1007/s13198-019-00912-8
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    References listed on IDEAS

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    Cited by:

    1. Veepan Kumar & Prem Vrat & Ravi Shankar, 2021. "Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 711-750, September.
    2. Desmond Eseoghene Ighravwe & Moses Olubayo Babatunde & Thapelo Cornelius Mosetlhe & Daniel Aikhuele & Daniel Akinyele, 2022. "A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13035-13056, November.

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