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Optimum maintenance strategy: a case study in the mining industry

Author

Listed:
  • Arash Shahin
  • Hadi Shirouyehzad
  • Ehsan Pourjavad

Abstract

Managers face with the problem of decision-making for selecting suitable maintenance strategy because of the emergence of different maintenance strategies for systems and equipments. Considering implementation methods and strengths and weaknesses of each maintenance strategy, simultaneous employment of these strategies may result in improvement or reduction of organisational performance. The main purpose of this paper is to consider interdependency of maintenance strategies to find the most suitable maintenance strategy for equipments. While the problem of selecting a suitable maintenance strategy can be solved by multi-criteria decision-making, the approach of analytic network process (ANP) has been suggested due to its network structure and its capability in counting the interdependency of maintenance strategies. As a case study, an attempt has been made to propose the most suitable maintenance strategies for a category of equipments in Chadormalu Mining-Industrial Company by the ANP approach. The findings imply that the priorities of maintenance strategies include TPM, CBM, DOM, TBM, EM, respectively. Also, maintainability and reliability have been found as the main reasons of higher rankings of TPM and CBM strategies.

Suggested Citation

  • Arash Shahin & Hadi Shirouyehzad & Ehsan Pourjavad, 2012. "Optimum maintenance strategy: a case study in the mining industry," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 12(3), pages 368-386.
    • Handle: RePEc:ids:ijsoma:v:12:y:2012:i:3:p:368-386
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    Citations

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    Cited by:

    1. María Carmen Carnero & Andrés Gómez, 2018. "Optimization of Maintenance in Production and Storage Systems for Domestic Water," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 359-380, January.
    2. Nishit Kumar Srivastava & Sandeep Mondal, 2016. "Development of Predictive Maintenance Model for N-Component Repairable System Using NHPP Models and System Availability Concept," Global Business Review, International Management Institute, vol. 17(1), pages 105-115, February.
    3. Syan, Chanan S. & Ramsoobag, Geeta, 2019. "Maintenance applications of multi-criteria optimization: A review," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    4. Aleksandr Rakhmangulov & Konstantin Burmistrov & Nikita Osintsev, 2022. "Selection of Open-Pit Mining and Technical System’s Sustainable Development Strategies Based on MCDM," Sustainability, MDPI, vol. 14(13), pages 1-31, June.
    5. Mahmood Shafiee & Ashraf Labib & Jhareswar Maiti & Andrew Starr, 2019. "Maintenance strategy selection for multi-component systems using a combined analytic network process and cost-risk criticality model," Journal of Risk and Reliability, , vol. 233(2), pages 89-104, April.

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