چکیده:
This paper considers the fuzzy inventory model for deteriorating items for power demand under fully backlogged conditions. We define various factors which are affecting the inventory cost by using the shortage costs. An intention of this paper is to study the inventory modelling through fuzzy environment. Inventory parameters, such as holding cost, shortage cost, purchasing cost and deterioration cost are assumed to be the trapezoidal fuzzy numbers. In addition, an efficient algorithm is developed to determine the optimal policy, and the computational effort and time are small for the proposed algorithm. It is simple to implement, and our approach is illustrated through some numerical examples to demonstrate the application and the performance of the proposed methodology.
خلاصه ماشینی:
"Chang and Dye (2001) developed a partial backlogging inventory model for deteriorating items with Weibull distribution and permissible delay in payments.
Shah (2006) considered an inventory model for deteriorating items and time value of money under permissible delay in payments during a finite planning horizon.
Sushil Kumar and Rajput (2015) discussed about a fuzzy inventory model for deteriorating items with time dependent demand and also shortages were permitted.
In this paper, we consider a fuzzy inventory model for deteriorating items with shortages under fully-backlogged condition and exponential demand.
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