Article ID: | iaor19991573 |
Country: | United Kingdom |
Volume: | 25 |
Issue: | 12 |
Start Page Number: | 1085 |
End Page Number: | 1095 |
Publication Date: | Dec 1998 |
Journal: | Computers and Operations Research |
Authors: | Maiti M., Roy T.K. |
Keywords: | fuzzy sets, programming: goal, programming: nonlinear |
In this paper, multi-item inventory models of deteriorating items with stock-dependent demand are developed in a fuzzy environment. Here, the objectives of maximizing the profit and minimizing the wastage cost are fuzzy in nature. Total average cost, warehouse space, inventory costs, purchasing and selling prices are also assumed to be vague and imprecise. The impreciseness in the above objective and constraint goals have been expressed by fuzzy linear membership functions and that in inventory costs and prices by triangular fuzzy numbers (TFN). Models have been solved by the fuzzy non-linear programming (FNLP) method based on Zimmermann, and Lee and Li. These are illustrated with numerical examples and results of one model are compared with those obtained by the fuzzy additive goal programming method.