This article is about selecting the most proper maintenance policy for Tabriz urban railway drilling equipment which is related to multi criteria decision making domain. The criteria considered in this case study are risk of equipment failure and cost of maintenance. Maintenance policy considered here are Corrective Maintenance (CM), Time Based Maintenance (TBM), Condition Based maintenance (CBM) and Shutdown Maintenance (SM). For modeling this problem we used a heuristic method based on fuzzy analytical network process and Chang’s extended analysis was employed to deal with fuzzy variables and then the most proper maintenance policy is obtained through this method. Results show that CBM is selected when the risk possessed by an equipment is very high while CM is preferred in those cases where risk is low and cost is the main consideration. But in cases where both cost and risk are somewhat equally important, TBM is the preferred option. Also the results gained by FANP and proposed heuristic method revealed the method high accuracy.

Proposing a Heuristic Method for Selecting the Most Proper Maintenance Policy

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Proposing a Heuristic Method for Selecting the Most Proper Maintenance Policy