عنوان مقاله [English]
In today's competitive world and trying to produce more and earn maximum profit in mining industry, analyzing the behavior of the fleet system is more important. Information available on the failure rate and repair time of system components are uncertain and imprecise so it is difficult reliability analyzing and prediction behavior of system based them. In the present research, behavior and reliability analysis of shovel System as an important equipment fleet of transport in open pit mine investigated under uncertainty using by fuzzy set theory and lambda-tau methodology. Cable shovel consists of seven subsystems (cable, bucket, stick, under carriage, engine and gearbox, pneumatic and electrical) in a series network configuration that have Weibull distribution for failure time. Behavior of system is analyzed by using various reliability indices namely reliability, availability, MTBF (mean time between failures), failure rate and repair time. Results show that failure information has uncertainty less than repair times; and after 10 hours, RAM-index of system decrease. Behavior system analysis as helpful tool for select suitable maintenance strategy and improve performance system can be used.