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Tytuł artykułu

Application of analytic hierarchy process and TOPSIS methodology on ships’ maintenance strategies

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim in adoption of maritime equipments’ maintenance strategy is the reduction of risk in order to achieve safer navigation, to enhance environmental friendly behaviors, to increase the safety and positively contribute to the overall operability management of the ship. The use of weak maintenance strategy could result in waste of time, money and resources, and often has no effect on improving or maintaining the availability of equipments. In this article, we propose a model in evaluation of on non-deterministic factors that affect the ships’ safety and a framework for ships management governance. The review of maintenance strategies has proven that a decision support mechanism needs mainly multiple criteria decision on ship equipments maintenance strategy selection. Through Analytic Hierarchy Process methodology and the extended evaluation of results on adoption of Technique for Order Preference by Similarity to Ideal Solution a useful tool to prioritize needs at any level and includes the decisions that should be taken into consideration from the shore office managers and the ship personnel for the safe functionality of the ship is provided.
Rocznik
Strony
21--28
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • University of the Aegean, Chios, Greece
autor
  • University of the Aegean, Chios, Greece
Bibliografia
  • [1] Abo-Sinna, M.A. & Amer, A.H. (2005). Extensions of TOPSIS for multi-objective largescale nonlinear programming problems. Applied Mathematics and Computation, 162, 243-256.
  • [2] Almeida, A.T. & Bohoris, G.A. (1995). Decision theory in maintenance decision making. Journal of Quality in Maintenance Engineering, Vol. 1 Iss. 1, 39-45.
  • [3] Al-Najjara, B. & Alsyoufb, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics, Vol. 84, Issue 1, 11,85-100.
  • [4] British Standards Institution. (1974). Glossary of Maintenance Terms in Terotechnology. BS3811. British Standards Institution: London, UK.
  • [5] Dagkinis, I., Lilas, T. & Nikitakos, N. (2012). Operational failure prevention methodology for offshore systems using multiple criteria decisionmaking process. Journal of Polish Safety and Reliability Association Summer Safety and Reliability Seminars, Vol. 3, No.1, 15-21.
  • [6] Douligeris, C. & Pereira, I.J. (1994). A Telecommunications Quality Study Using the AHP process. IEEE, Journal on Selected Areas in Communications, Vol. 12, No. 2.
  • [7] Félix, C. Hijes, L. & Cartagena, J.J.R. (2006). Maintenance strategy based on a multicriterion classification of equipments. Reliability Engineering & System Safety, Vol. 91, Issue 4, 444-451.
  • [8] Hwang, C.L. & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
  • [9] Khalili-Damghania, K. & Sadi-Nezhadb, S. (2013). A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection. Applied Soft Computing, Vol. 13, Issue 1, 339-352.
  • [10] Rausand, M. (1998). Reliability centered maintenance. Reliability Engineering and System Safety, 60, 121-32.
  • [11] Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15 (1), 57-68.
  • [12] Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill International.
  • [13] Saaty, T.L. (2008). Relative Measurement and Its Generalization in Decision Making. Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors The Analytic Hierarchy/Network Process. Rev. R. Acad. Cien. Serie A. Mat. Vol. 102 (2), 251-318.
  • [14] Sarkar, A., Behera, D.K. & Sarkar, B. (2011). The Maintenance Strategy Selection of a Gas Turbine Power Plant System. Journal of Information and Operations Management IOM, Vol. 2, Issue 1, 09-16.
  • [15] Sennaroglu, B. & Şen, S. (2012). Integrated AHP and TOPSIS Approach for Supplier Selection. Proc. 2nd International Conference Manufacturing Engineering & Management, 19-22.
  • [16] Triantaphyllou, E. Kovalerchuk, B. Mann, L. & Knapp, G.M. (1997). Determining the most important criteria in maintenance decision making. Journal of Quality in Maintenance Engineering, 3(1), 16-24.
  • [17] Wang, L. Chu, J. & Wu May, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, Vol. 107, Issue 1, 151-163.
  • [18] Wu, M. (2007). Topsis-AHP simulation model and its application to supply chain management. World Journal of Modelling and Simulation, Vol. 3 No. 3, 196-201.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5dc450a9-7604-432c-95b5-6687d9489b00
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