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organizational communication
The current issue and full text archive of this journal is available at www.emeraldinsight.com/1355-2511.htm JQME
18,1

Maintenance strategy selection using AHP and ANP algorithms: a case study

16

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



References: Almeida, A.T. and Bohoris, G.A. (1995), “Decision theory in maintenance decision making”, Journal of Quality in Maintenance Engineering, Vol Al-Najjar, B. and Alsyouf, I. (2003), “Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making”, International Journal of Production Economics, Arunraj, N.S. and Maiti, J. (2010), “Risk-based maintenance policy selection using AHP and goal programming”, Safety Science, Vol Azadivar, F. and Shu, V. (1999), “Maintenance policy selection for JIT production systems”, International Journal of Production Research, Vol Bertolini, M. and Bevilacqua, M. (2006), “A combined goal programming-AHP approach to maintenance selection problem”, Reliability Engineering and System Safety, Vol Bevilacqua, M. and Braglia, M. (2000), “The analytic hierarchy process applied to maintenance strategy selection”, Reliability Engineering and System Safety, Vol Chin, K-S., Chiu, S. and Tummalo, R.V.M. (1999), “An evaluation of success factors using the AHP to implement ISO 14001-based EMS”, International Journal of Quality & Reliability HajShirmohammadi, A. and Wedley, W.C. (2004), “Maintenance management – an AHP application for centralization/decentralization”, Journal of Quality in Maintenance Ilangkumaran, M. and Kumanan, S. (2009), “Selection of maintenance policy for textile industry using hybrid multi-criteria decision making approach”, Journal of Manufacturing Technology Management, Vol. 20 No. 7, pp. 1009-22. Labib, A.W. (2004), “A decision analysis model for maintenance policy selection using a CMMS”, Journal of Quality in Maintenance Engineering, Vol Labib, A.W., O’Connor, R.F. and Williams, G.B. (1998), “An effective maintenance system using the analytic hierarchy process”, Integrated Manufacturing Systems, Vol Li, J.R., Khoo, L.P. and Tor, S.B. (2006), “Generation of possible multiple components disassembly sequence for maintenance using a disassembly constraint graph”, International Journal of Luce, S. (1999), “Choice criteria in conditional preventive maintenance”, Mechanical Systems and Signal Processing, Vol Mechefske, C.K. and Wang, Z. (2003), “Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies”, Mechanical Systems and Signal Processing, Vol Okumura, S. and Okino, N. (2003), “A maintenance policy selection method for a critical single-unit item in each workstation composing a FMS with CBM optimization”, Partovi, Y.F. (1994), “Determining what to benchmark: an analytic hierarchy process approach”, International Journal of Operations & Production Management, Vol Rausand, M. (1998), “Reliability centered maintenance”, Reliability Engineering System Safety, Vol Saaty, T.L. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York, NY. Sharma, R.K., Kumar, D. and Kumar, P. (2005), “FLM to select suitable maintenance strategy in process industries using MISO model”, Journal of Quality in Maintenance Engineering, Shorrocks, P. (2000), “Selection of the most appropriate maintenance model using a decision support framework”, unpublished report, UMIST, Manchester. Shorrocks, P. and Labib, A.W. (2000), “Towards a multimedia based decision support system for word class maintenance”, Proceedings of the 14th ARTS (Advances in Reliability Shyjith, K., Ilangkumaran, M. and Kumanan, S. (2008), “Multi-criteria decision-making approach to evaluate optimum maintenance strategy in textile industry”, Journal of Quality in Triantaphyllou, E., Kovalerchuk, B., Mann, L. and Knapp, G.M. (1997), “Determining the most important criteria in maintenance decision making”, Journal of Quality in Maintenance Waeyenbergh, G. and Pintelon, L. (2002), “A framework for maintenance concept development”, International Journal of Production Economics, Vol Wang, H. (2002), “A survey of maintenance policies of deteriorating systems”, European Journal of Operational Research, Vol Wang, L., Chu, J. and Wu, J. (2007), “Selection of optimum maintenance strategies based on a fuzzy analytical hierarchy process”, International Journal of Production Economics, Saaty, T.L. (2001), Decision Making with Dependence and Feedback: Analytic Network Process, RWS Publications, Pittsburgh, PA. Waeyenbergh, G. and Pintelon, L. (2004), “Maintenance concept development: a case study”, International Journal of Production Economics, Vol

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