Abstract
Effectiveness and efficiency of manufacturing depends on the manufacturing equipment. Timely detection and diagnosis of abnormal operating conditions of equipment and further correction is important for competitive manufacturing and maintenance planning is becoming more crucial. The equipment availability and optimum spare parts inventories are the results of right decisions made through maintenance planning systems. Limitations in large data handling and need for logical reasoning for decision making drives the use of computerized maintenance planning system. This paper focus on application of fuzzy logic in decision making for maintenance planning using key inputs such as mean time between failures, mean time to repair, spares availability and the age of the equipment. A fuzzy rule base is generated for a real case and applied to the maintenance planning process to validate the results. The paper will definitely help the maintenance engineers and plant engineers to plan their activities in an effective manner.
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