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A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants

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  • Özcan, Evren Can
  • Ünlüsoy, Sultan
  • Eren, Tamer

Abstract

Sustainable energy supply defined as uninterrupted, reliable, efficient, economic and environmentally friendly electricity generation is the main goal of power plants. Carrying out the proper maintenance processes has critical importance in terms of prolonging the effective operational lifetime of power plants and thus improving the sustainable power generation of the system. Since it serves for such an important purpose, maintenance is a crucial process that must be managed and selection of the most appropriate maintenance strategy is the first and unignorably stage of maintenance management in power plants as in other manufacturing facilities. Within this scope, this study focuses on the maintenance strategy selection problem in hydroelectric power plants have great importance for world and Turkey energy mix. As hydroelectric power plants comprise thousands of equipment with different characteristics, nine equipment which have similar effects and the most important ones for power plant are determined by The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under nine evaluation criteria weighted by the Analytic Hierarchy Process (AHP) for a big scale hydroelectric power plant in Turkey. Maintenance strategy combinations are obtained for each selected equipment via proposed goal programming (GP) model which uses the criteria weights and alternative priorities calculated with AHP and reflects the realities of power plant. Finally, it is determined that there is an improvement about 77% in downtimes arise from carrying out the improper maintenance strategy on selected critical equipment compared to the period when the model is not used.

Suggested Citation

  • Özcan, Evren Can & Ünlüsoy, Sultan & Eren, Tamer, 2017. "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1410-1423.
  • Handle: RePEc:eee:rensus:v:78:y:2017:i:c:p:1410-1423
    DOI: 10.1016/j.rser.2017.04.039
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    1. Gómez de León Hijes, Félix C. & Cartagena, José Javier Ruiz, 2006. "Maintenance strategy based on a multicriterion classification of equipments," Reliability Engineering and System Safety, Elsevier, vol. 91(4), pages 444-451.
    2. Badri, Masood A., 2001. "A combined AHP-GP model for quality control systems," International Journal of Production Economics, Elsevier, vol. 72(1), pages 27-40, June.
    3. Waeyenbergh, Geert & Pintelon, Liliane, 2004. "Maintenance concept development: A case study," International Journal of Production Economics, Elsevier, vol. 89(3), pages 395-405, June.
    4. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1984. "Prométhée: a new family of outranking methods in multicriteria analysis," ULB Institutional Repository 2013/9305, ULB -- Universite Libre de Bruxelles.
    5. Rosqvist, T. & Laakso, K. & Reunanen, M., 2009. "Value-driven maintenance planning for a production plant," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 97-110.
    6. Waeyenbergh, Geert & Pintelon, Liliane, 2009. "CIBOCOF: A framework for industrial maintenance concept development," International Journal of Production Economics, Elsevier, vol. 121(2), pages 633-640, October.
    7. Devarun Ghosh & Sandip Roy, 2010. "A decision-making framework for process plant maintenance," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(1), pages 78-98.
    8. Saaty, Thomas L., 2006. "Rank from comparisons and from ratings in the analytic hierarchy/network processes," European Journal of Operational Research, Elsevier, vol. 168(2), pages 557-570, January.
    9. Cheng, Yung-Hsiang & Tsao, Hou-Lei, 2010. "Rolling stock maintenance strategy selection, spares parts' estimation, and replacements' interval calculation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 404-412, November.
    10. Bertolini, Massimo & Bevilacqua, Maurizio, 2006. "A combined goal programming—AHP approach to maintenance selection problem," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 839-848.
    11. Waeyenbergh, Geert & Pintelon, Liliane, 2002. "A framework for maintenance concept development," International Journal of Production Economics, Elsevier, vol. 77(3), pages 299-313, June.
    12. Chang, Ching-Ter, 2015. "Multi-choice goal programming model for the optimal location of renewable energy facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 379-389.
    13. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
    14. Siew-Hong Ding & Shahrul Kamaruddin & Ishak Abdul Azid, 2014. "Development of a model for optimal maintenance policy selection," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 8(1), pages 50-68.
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