hybrid fuzzy-stochastic approach to multi-product, multi-period, and multi-resource master production scheduling problem: case of a polyethylene pipe and fitting manufacturer

Master production scheduling is an effective phase of production planning, which ends in production scheduling and magnitude of different products in a company. this problem requires investigating a wide range of parameters, regarding demand, manufacturing resource usage, and costs. uncertainty is an intrinsic characteristic of these parameters. in this paper, a model is developed for master production scheduling under uncertainty, in which demands, as time-dependent variables, are considered as stochastic variables, while cost and utilization parameters, with cognitive ambiguity, are expressed as fuzzy numbers. a hybrid approach is also proposed to solve the extended model. the application of the proposed method is examined in a practical problem of a polyethylene pipe and fitting co. in iran. the result showed a high degree of applicability.