Selection of optimum maintenance policy based on fuzzy TOPSIS

38th International Conference on Computers and Industrial Engineering 2008

Volumn 1, Issue , 2008, Pages 616-624

  Asadian, Negar ^a   Khavarpour, Mahmoud ^a   Hoseinpour, Soheil ^a  

^a Planning and Development Unit   (Iran)

Author keywords

Fuzzy TOPSIS; Maintenance strategies; Multiple criteria decisionmaking; Power plant

Indexed keywords

DIFFERENT EQUIPMENT; FUZZY PRIORITIZATION METHODS; FUZZY TOPSIS; MAINTENANCE POLICY; MAINTENANCE STRATEGIES; MULTIPLE CRITERIA DECISION MAKING; MULTIPLE CRITERIA DECISION-MAKING PROBLEMS; OPTIMUM MAINTENANCE STRATEGY;

DECISION MAKING; FUZZY SETS; INDUSTRIAL ENGINEERING; POWER PLANTS;

MAINTENANCE;

EID: 84888256361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Al-Najjar, B., Alsyouf, I., 2003. Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics 84, 85-100.
2. Azadivar, F., Shu, V., 1999. Maintenance policy selection for JIT production systems. International Journal of Production Research 37 (16), 3725-3738.
3. Bengtsson, M., 2004. Condition based maintenance system technology-where is development heading? Proceedings of the 17th European Maintenance Congress, Barcelona, Spain, May 11-13.
4. Bevilacqua, M., Braglia, M., 2000. The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering and System Safety 70, 71-83.
5. Chen CT. Extensions of the TOPSIS for group decisionmaking under fuzzy environment. Fuzzy Set Syst 2000;114:1-9.
6. Djurdjanovic, D., Lee, J., Ni, J., 2003. Watchdog agentan infotronics based prognostics approach for product performance assessment and prediction. International Journal of Advanced Engineering Informatics 17, 109- 125.
7. Kaufmann A, Gupta MM. Introduction to fuzzy arithmetic: theory and applications. New York: Van Nostrand Reinhold; 1985.
8. Li, R., 2002. The Theory and Application of Fuzzy Multiple Criteria Decision-making. Science Press, Beijing (in Chinese).
9. Luce, S., 1999. Choice criteria in conditional preventive maintenance. Mechanical Systems and Signal Processing 13 (1), 163-168.
10. Mann, L., Saxena, A., Knapp, G.M., 1995. Statisticalbased or condition-based preventive maintenance? Journal of Quality in Maintenance Engineering 1 (1), 46-59.
11. Mechefske, C.K., Wang, Z., 2003. Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies. Mechanical Systems and Signal Processing 17 (2), 305-316.
12. Mobley, R.K., 2002. An Introduction to Predictive Maintenance, Second ed. Elsevier science, New York.
13. Okumura, S., Okino, N., 2003. A maintenance policy selection method for a critical single-unit item in each workstation composing a FMS with CBM optimisation. International Journal of COMADEM 6 (2), 3-9.
14. Sharma, R.K., Kumar, D., Kumar, P., 2005. FLM to select suitable maintenance strategy in process industries using MISO model. Journal of Quality in Maintenance Engineering 11 (4), 359-374.
15. Swanson, L., 2001. Linking maintenance strategies to performance. International Journal of Production Economics 70, 237-244.
16. Waeyenbergh, G., Pintelon, L., 2002. A framework for maintenance concept development. International Journal of Production Economics 77, 299-313.
17. Wang, H., 2002. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 139, 469-489.
18. Wireman, T., (1990). World Class Maintenance Management. Industrial Press, New York.
19. Zadeh LA.(1965) Fuzzy sets. Inform Control;8:338-53.