STUDY OF SOME SINGLE AND MULTIOBJECTIVE STOCHASTIC INVENTORY MODELS IN FUZZY OPTIMIZATION TECHNIQUE

Abstract

In this paper we present a Fuzzy stochastic inventory models. In a stochastic programming problem, the vulnerabilities in the boundaries are addressed by likelihood disseminations. The inventory control utilizing the fuzzy set theory has particular preferences in lessening the quantity of set-ups and stockouts. To accomplish a few clashing objectives all the while subject to a system of limitations (requirements), in some cases, the objective objectives are not expressed obviously for example they are uncertain in nature. As a single objective stochastic inventory model where the lead-time request follows typical dispersion and with fluctuating deficient rate, expected yearly cost is likewise estimated. In span math technique the stretch objective capacity has been changed into a comparable deterministic multiobjective problem characterized by the left and right constraints of the span. Fuzzy set theory assists with considering fuzzy inventory models since it has a capacity to measure vagueness and imprecision without utilizing arbitrariness.