Abstract
This paper computes different reliability parameters for plastic-pipe manufacturing system in the form of fuzzy membership functions. An available uncertain data which reflects its failure and repair pattern has been utilised while fuzzy Lambda-Tau (FLT) and genetic algorithms-based Lambda-Tau (GABLT) techniques are used for this purpose. In FLT ordinary fuzzy arithmetic is used while GABLT utilises ordinary arithmetic and non-linear programming approach. The computed results, as obtained by the two techniques, are compared. Sensitivity analysis has been done to analyse the effect of different reliability parameters on system mean time between failures (MTBF). Based on results some important suggestions are given for future course of action in maintenance planning.
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