STUDY OF SOME SINGLE AND MULTIOBJECTIVE STOCHASTIC INVENTORY MODELS IN FUZZY OPTIMIZATION TECHNIQUE
Anant Tiwari, Dr. Amit Kumar Vats.
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.
Key words: fuzzy, inventory, model, single, multi-objective, stochastic, etc.
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