Article ID: | iaor201111092 |
Volume: | 12 |
Issue: | 4 |
Start Page Number: | 363 |
End Page Number: | 389 |
Publication Date: | Nov 2011 |
Journal: | International Journal of Operational Research |
Authors: | Mahata Gour Chandra |
Keywords: | simulation: applications, stochastic processes, retailing, combinatorial optimization |
In this paper, a realistic inventory model with imprecise inventory cost components have been formulated for deteriorating items under trade credit policy within the economic production quantity framework. It assumes that the retailer maintains a powerful position and can obtain full trade credit offered by supplier yet retailer just offers the partial trade credit to his/her customers under the replenishment rate is finite. Under these conditions, we model the retailer|s inventory system as a cost minimisation problem to determine the retailer|s optimal inventory policy. We derive the expressions for the annual total inventory cost for the retailer both in the crisp and fuzzy sense. The annual total variable inventory cost in the fuzzy sense is defuzzified using graded mean integration representation method and it has been proved that there exists a unique optimal cycle time to minimise the annual total variable cost for the retailer. In addition, two theorems and three algorithms are developed to efficiently determine the optimal ordering policies for the retailer. Some previously published results of other authors will be special cases of this paper. Finally, numerical examples are given to illustrate the theorems and obtain a lot of managerial insights from numerical examples.