
The Implementation of the Trapezoidal Fuzzy Number toward the Solution of the A Fuzzy Inventory Model with Shortages
Author(s) -
T. Iswarya,
Sg. Karpagavalli
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1818/1/012230
Subject(s) - weibull distribution , economic shortage , fuzzy number , fuzzy logic , mathematics , economic order quantity , holding cost , inventory cost , mathematical optimization , statistics , fuzzy set , computer science , artificial intelligence , supply chain , business , linguistics , philosophy , marketing , government (linguistics)
In this paper, fuzzy inventory model with shortages has been considered. Trapezoidal fuzzy number with Weibull distribution is used to fuzzify the data of an inventory model. All the parameters used in the inventory model is converted to trapezoidal fuzzy numbers using function principle. We find the estimate of the total inventory cost by defuzzifing the trapezoidal fuzzy numbers using the the graded mean integration. The optimum total cost for the inventory model is found.