Volume : IV, Issue : XII, December - 2015
SOLUTION OF INVENTORY MODEL WITH FUZZY COST COMPONENTS AS GENERALIZED EXPONENTIAL TRAPEZOIDAL FUZZY NUMBERS USING NEAREST INTERVAL APPROXIMATION
A. Faritha Asma, E. C. Henry Amirtharaj
Abstract :
This paper discusses an Economic Order Quantity (EOQ) model with shortage, where the setup cost, the holding cost, the shortage cost are considered as generalized exponential trapezoidal fuzzy numbers. The fuzzy parameters are then transformed into corresponding interval numbers. Minimization of the interval objective function (obtained by using interval parameters) has been transformed into a classical multi–objective EOQ problem. The order relation that represents the decision maker’s preference among the interval objective function has been defined by the right limit, left limit ,center and half –width of an interval. This concept is used to minimize the interval objective function. The problem has been solved by fuzzy programming technique. Finally, the proposed method is illustrated with a numerical example.
Keywords :
Inventory generalized exponential trapezoidal fuzzy numbers Interval number EOQ Fuzzy sets Fuzzy optimization technique Multi–objective Programming.
Article:
Download PDF
DOI : 10.36106/ijsr
Cite This Article:
A.Faritha asma, E.C.Henry Amirtharaj Solution of Inventory Model with Fuzzy Cost Components as Generalized Exponential Trapezoidal Fuzzy Numbers using Nearest Interval Approximation International Journal of Scientific Research, Vol : 4, Issue : 12 December 2015
Number of Downloads : 1125
References :
A.Faritha asma, E.C.Henry Amirtharaj Solution of Inventory Model with Fuzzy Cost Components as Generalized Exponential Trapezoidal Fuzzy Numbers using Nearest Interval Approximation International Journal of Scientific Research, Vol : 4, Issue : 12 December 2015
Our Other Journals...
-
Indian Journal of
Applied Research Visit Website -
PARIPEX Indian Journal
of Research Visit Website -
Global Journal for
Research Analysis Visit Website