• K.Dhanam
• M.Parimaladevi

In this paper, vector objective inventory model with constraint is developed in a fuzzy environment. Demand rate and generator cost are taken as a random variable, it follows by Lomax distribution and multivariate hyper geometric distribution respectively. The objectives are to maximize the expected average total profit and to minimize the expected average total cost for store and warehouse simultaneously. The cost parameters are represented by a Pentagonal Fuzzy Number. To defuzzify the objective functions, the ranking of circumcenter of the centroid of the pentagonal fuzzy numbers are derived. The model is worked out through a stochastic fuzzy non linear programming technique. The economic order quantity, display inventory level and power cut time are determined. A numerical illustration is given to support the problem.

Inventory, Multi objective, Multi item, ranking fuzzy number with Circumcenter of centroid, stochastic fuzzy nonlinear programming technique.

"COST ANALYSIS ON A STOCHASTIC VECTOR OBJECTIVE INVENTORY MODEL USING PENTAGONAL FUZZY NUMBER WITH CONSTRAINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.415-425, January-2019, Available :http://www.jetir.org/papers/JETIR1901254.pdf

"COST ANALYSIS ON A STOCHASTIC VECTOR OBJECTIVE INVENTORY MODEL USING PENTAGONAL FUZZY NUMBER WITH CONSTRAINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp415-425, January-2019, Available at : http://www.jetir.org/papers/JETIR1901254.pdf