• FUZZY OPTIMAL PRODUCTION INVENTORY CONTROL

Abstract

In this paper, a fuzzy optimal multi-level production–inventory control model is formulated as optimal control problem in a decentralized supply chain having individual decision makers (DMs) where each facility is controlled independently in a continuous review. The adopted approach is the Triangular Fuzzy Numbers (TFNs) utilization. Accordingly, the genetic algorithm is developed, coded with C⁺⁺ Programming language. Numerical example and sensitivity analysis are discussed to illustrate the optimal decision in fuzzy environments. This paper introduce a method so that the production rate that the manufacturer should hold along the chain such that the resources of each company are used the best and the inventory overall cost is to be minimized?