Evaluation of Maintenance Policies Using Taguchi Loss Functions and Analytical Hierarchy Process

The existence of a company in today’s highly automated production environment largely depends on the high availability rates ofproduction machines. High machine availability rates can only be achieved by applying suitable maintenance policies. Determinationof a suitable maintenance policy requires the consideration of many factors. In this study, a new methodology integrating AnalyticalHierarchy Process (AHP) and Taguchi loss functions was developed for the determination of the most suitable maintenance policy. Thismethodology represents the first use of Taguchi loss functions for maintenance policy evaluation and the use of these functions ensuredthe consideration of tangible and intangible maintenance policy evaluation criteria. Applicability and effectiveness of the developed methodology was justified by determining the most suitable maintenance policy for the coating machines of a powder coating factory.

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Dhillon BS. Engineering maintenance: a modern approach. Boca Raton, CRC Press, 2002.
Mobley RK. Maintenance fundamentals. Oxford, UK, Butterworth-Heinemann, 2011.
Shafiee M. "Maintenance strategy selection problem: an MCDM overview". Journal of Quality in Maintenance Engineering, 21 (4), 378-402, 2015.
Arunraj NS, Maiti J. "Risk-based maintenance policy selection using AHP and goal programming". Safety Science, 48 (2), 238- 247, 2010.
Zaim S, Turkyilmaz A, Acar MF, Al-Turki U, Demirel OF. "Maintenance strategy selection using AHP and ANP algorithms: a case study". Journal of Quality in Maintenance Engineering, 18 (1), 16-29, 2012.
Emovon I, Norman RA, Murphy AJ. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems". Journal of Intelligent Manufacturing, in press 2015.
Braglia M, Castellano D, Frosolini M. "An integer linear programming approach to maintenance strategies selection". International Journal of Quality & Reliability Management, 30 (9), 991-1016, 2013.
Gupta S, Maiti J, Kumar R, Kumar U. "A control chart guided maintenance policy selection". International Journal of Mining, Reclamation and Environment, 23 (3), 216-226, 2009.
Carazas FG, Souza GFM. "Risk-based decision making method for maintenance policy selection of thermal power plant equipment". Energy, 35 (2), 964-975, 2010.
Ding S-H, Kamaruddin S. "Maintenance policy optimization—literature review and directions". The International Journal of Advanced Manufacturing Technology, 76 (5), 1263-1283, 2015.
Saaty TL. The Analytic Hierarchy Process. New York, McGraw-Hill, 1980.
Taguchi G. Introduction to Quality Engineering. Tokyo, Japan, Asian Productivity Organization, 1990.
Besterfield DH, Besterfield-Michna C, Besterfield GH, Besrterfield-Sacre M. Total Quality Management. 3rd edition ed. Upper Saddle River, New Jersey, Prentice Hall, 2003.
Pi W-N, Low C. "Supplier evaluation and selection via Taguchi loss functions and an AHP". The International Journal of Advanced Manufacturing Technology, 27 (5-6), 625-630, 2006.
Bevilacqua M, Braglia M. "The analytic hierarchy process applied to maintenance strategy selection". Reliability Engineering & System Safety, 70 (1), 71-83, 2000.
Fouladgar MM, Yazdani-Chamzini A, Lashgari A, Zavadskas EK, Turskis Z. "Maintenance strategy selection using AHP and COPRAS under fuzzy environment". International Journal of Strategic Property Management, 16 (1), 85-104, 2012.
Azadeh A, Abdolhossein Zadeh S. "An integrated fuzzy analytic hierarchy process and fuzzy multiple-criteria decisionmaking simulation approach for maintenance policy selection". Simulation, 92 (1), 3-18, 2016.
Goossens AJM, Basten RJI. "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships". Reliability Engineering & System Safety, 142, 31- 41, 2015.