MAINTENANCE STRATEGY EVALUATION BASED ON AHP – TOPSIS
DOI:
https://doi.org/10.24297/jac.v12i26.719Keywords:
Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarly to Ideal Solution (TOPSIS) and Maintenance strategies.Abstract
This paper presents an application of Analytical Hierarchy Process (AHP) is combined with Technique for Order Preference by Similarly to Ideal Solution (TOPSIS) model for selection of the best maintenance strategy for pump in paper industry. AHP is used to compute the criteria weights whereas TOPSIS is used to ranking the maintenance strategy alternatives. This study focuses on four maintenance strategies such as Corrective Maintenance (CM), Predictive maintenance (PM), Time based preventive Maintenance (TM) & Condition Based Maintenance (CBM) and four main criteria such as safety, cost, added value and feasibility are used to evaluate the optimum maintenance strategy.Downloads
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References
1. Bashiri, M., Badri, H., & Hejazi, T. H. (2011). Selecting optimum maintenance strategy by fuzzy interactive linear assignment method. Applied Mathematical Modelling, 35(1), 152-164.
2. Bevilacqua, M., & Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering & System Safety, 70(1), 71-83.
3. Chan, F. T. S. (2003). Interactive selection model for supplier selection process: an analytical hierarchy process approach. International Journal of Production Research, 41(15), 3549-3579.
4. Cheng, C.-H., Yang, K.-L., & Hwang, C.-L. (1999). Evaluating attack helicopters by AHP based on linguistic variable weight. European Journal of Operational Research, 116(2), 423-435.
5. de Almeida, A. T., & Bohoris, G. A. (1995). Decision theory in maintenance decision making. Journal of Quality in Maintenance Engineering, 1(1), 39-45.
6. ErtuÄŸrul, Ä°., & KarakaÅŸoÄŸlu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702-715.
7. Hepu, D. Multicriteria analysis with fuzzy pairwise comparison. In Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International, 22-25 Aug. 1999 1999 (Vol. 2, pp. 726-731 vol.722).
8. Hwang, C., & Yoon, K. (1981). Multiple criteria decision making. Lecture Notes in Economics and Mathematical Systems.
9. Ilangkumaran, M., & Kumanan, S. (2009). Selection of maintenance policy for textile industry using hybrid multiâ€criteria decision making approach. Journal of Manufacturing Technology Management, 20(7), 1009-1022.
10. Kirubakaran, B., & Ilangkumaran, M. (2016). Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS. [journal article]. Annals of Operations Research, 245(1), 285-313.
11. Mikhailov, L. (2003). Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets and Systems, 134(3), 365-385.
12. Nordgard, D. E., Heggset, J., & Ostgulen, E. Handling maintenance priorities using multi criteria decision making. In 2003 IEEE Bologna Power Tech Conference Proceedings, 23-26 June 2003 2003 (Vol. 3, pp. 6 pp. Vol.3).
13. Saaty, T. L., & Vargas, L. G. (1998). Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process. Operations Research, 46(4).
14. Sachdeva, A., Kumar, D., & Kumar, P. (2008). Planning and optimizing the maintenance of paper production systems in a paper plant. Computers & Industrial Engineering, 55(4), 817-829.
15. Sadeghi, A., & Manesh, R. A. (2012). The Application of Fuzzy Group Analytic Network Process to Selection of Best Maintenance Strategy- A Case Study in Mobarakeh Steel Company, Iran. Procedia - Social and Behavioral Sciences, 62, 1378-1383.
16. Satty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill New York.
17. Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104.
18. Triantaphyllou, E., Lootsma, F. A., Pardalos, P. M., & Mann, S. H. (1994). On the evaluation and application of different scales for quantifying pairwise comparisons in fuzzy sets. Journal of Multi-Criteria Decision Analysis, 3(3).
19. Wang, L., Chu, J., & Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151-163.
2. Bevilacqua, M., & Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering & System Safety, 70(1), 71-83.
3. Chan, F. T. S. (2003). Interactive selection model for supplier selection process: an analytical hierarchy process approach. International Journal of Production Research, 41(15), 3549-3579.
4. Cheng, C.-H., Yang, K.-L., & Hwang, C.-L. (1999). Evaluating attack helicopters by AHP based on linguistic variable weight. European Journal of Operational Research, 116(2), 423-435.
5. de Almeida, A. T., & Bohoris, G. A. (1995). Decision theory in maintenance decision making. Journal of Quality in Maintenance Engineering, 1(1), 39-45.
6. ErtuÄŸrul, Ä°., & KarakaÅŸoÄŸlu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702-715.
7. Hepu, D. Multicriteria analysis with fuzzy pairwise comparison. In Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International, 22-25 Aug. 1999 1999 (Vol. 2, pp. 726-731 vol.722).
8. Hwang, C., & Yoon, K. (1981). Multiple criteria decision making. Lecture Notes in Economics and Mathematical Systems.
9. Ilangkumaran, M., & Kumanan, S. (2009). Selection of maintenance policy for textile industry using hybrid multiâ€criteria decision making approach. Journal of Manufacturing Technology Management, 20(7), 1009-1022.
10. Kirubakaran, B., & Ilangkumaran, M. (2016). Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS. [journal article]. Annals of Operations Research, 245(1), 285-313.
11. Mikhailov, L. (2003). Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets and Systems, 134(3), 365-385.
12. Nordgard, D. E., Heggset, J., & Ostgulen, E. Handling maintenance priorities using multi criteria decision making. In 2003 IEEE Bologna Power Tech Conference Proceedings, 23-26 June 2003 2003 (Vol. 3, pp. 6 pp. Vol.3).
13. Saaty, T. L., & Vargas, L. G. (1998). Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process. Operations Research, 46(4).
14. Sachdeva, A., Kumar, D., & Kumar, P. (2008). Planning and optimizing the maintenance of paper production systems in a paper plant. Computers & Industrial Engineering, 55(4), 817-829.
15. Sadeghi, A., & Manesh, R. A. (2012). The Application of Fuzzy Group Analytic Network Process to Selection of Best Maintenance Strategy- A Case Study in Mobarakeh Steel Company, Iran. Procedia - Social and Behavioral Sciences, 62, 1378-1383.
16. Satty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill New York.
17. Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104.
18. Triantaphyllou, E., Lootsma, F. A., Pardalos, P. M., & Mann, S. H. (1994). On the evaluation and application of different scales for quantifying pairwise comparisons in fuzzy sets. Journal of Multi-Criteria Decision Analysis, 3(3).
19. Wang, L., Chu, J., & Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151-163.
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Published
2016-12-27
How to Cite
BALAKRISHNAN, K., Mani, I., & M, K. (2016). MAINTENANCE STRATEGY EVALUATION BASED ON AHP – TOPSIS. JOURNAL OF ADVANCES IN CHEMISTRY, 12(26), 5744–5751. https://doi.org/10.24297/jac.v12i26.719
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