Hybrid fuzzy-stochastic approach to multi-product, multi-period, and multi-resource master production scheduling problem: Case of a polyethylene pipe and Fitting manufacturer
نویسندگان
1 Systems Engineering Institute of Automation School, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.;School of Science, Hubei University of Technology, Wuhan 430068, P. R. China.
2 School of Science, Wuhan University of Technology, Wuhan 430070, P. R. China.
3 Systems Engineering Institute of Automation School, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.
doi
10.24200/sci.2018.20329چکیده
Master production scheduling is an effective phase of production planning which leads to scheduling and magnitude of different products production 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.
