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Maintenance strategy selection using AHP and ANP algorithms: a case study
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Selim Zaim
Department of Mechanical Engineering, Marmara University, Istanbul, Turkey
Ali Turkyılmaz
Department of Industrial Engineering, Fatih University, Istanbul, Turkey
Mehmet F. Acar
Department of Management, Fatih University, Istanbul, Turkey
Umar Al-Turki
Systems Engineering Department,
King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, and
Omer F. Demirel
Department of Industrial Engineering, Fatih University, Istanbul, Turkey
Abstract
Purpose – The purpose of this paper is to demonstrate the use of two general purpose decision-making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.
Design/methodology/approach – The Analytical Hierarchical Process (AHP) and the Analytical
Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.
Findings – The two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.
Practical implications – The techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained in a step-by-step approach for easier adaptation by practitioners in all types of organizations.
Originality/value – The value of the paper is in applying AHP and ANP decision-making methodologies in maintenance strategy selection. These two methods are not very
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