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A New Decision Making Model based on Factor Analysis (FA), F-ANP, and F-ARAS for Selecting and Ranking Maintenance Strategies

Author

Listed:
  • Habib Farajpoor Khanaposhtani

    (Department of Industrial Management, University of Semnan, Semnan, Iran)

  • Mohsen Shafiei Nikabadi

    (Department of Industrial Management, University of Semnan, Semnan, Iran)

  • Hossein Eftekhari

    (Department of Technology and Innovation Management, University of Tehran, Tehran, Iran)

  • Alireza Aslani

    (Department of Technology and Innovation Management, University of Tehran, Tehran, Iran)

Abstract

Today, companies have admired that maintenance is a profitable commercial element. Therefore, its role in modern manufacturing systems has become more important. Maintenance plays a vital role in achieving organizational goals and improving indicators such as reliability, accessibility, decreasing equipment downtime, products quality, risk mitigation, productivity increase, equipment safety, etc. In this regard, maintenance and its strategies have found special importance in industry. As a result, the main aim of this research is to select the best maintenance strategy by using Fuzzy ARAS and Fuzzy ANP techniques in oil industry (Tehran Oil Refinery – Shahr-e-Ray). Since many variables (i.e. security, cost, added – value, etc.) are effective in selecting a maintenance strategy, these variables are initially identified by reviewing the relevant literature and maintenance experts' opinions and then the best maintenance strategy is selected by using Fuzzy ARAS.

Suggested Citation

  • Habib Farajpoor Khanaposhtani & Mohsen Shafiei Nikabadi & Hossein Eftekhari & Alireza Aslani, 2016. "A New Decision Making Model based on Factor Analysis (FA), F-ANP, and F-ARAS for Selecting and Ranking Maintenance Strategies," International Journal of Business Analytics (IJBAN), IGI Global, vol. 3(4), pages 41-63, October.
    • Handle: RePEc:igg:jban00:v:3:y:2016:i:4:p:41-63
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