| Article ID: | iaor20013188 |
| Country: | United States |
| Volume: | 37 |
| Issue: | 1/2 |
| Start Page Number: | 273 |
| End Page Number: | 276 |
| Publication Date: | Oct 1999 |
| Journal: | Computers & Industrial Engineering |
| Authors: | Mak K.L., Wong Y.S., Huang G.Q. |
| Keywords: | genetic algorithms |
This paper is concerned with the optimal control of inventory items which experience lumpy demands. A mathematical model is developed for the determination of optimal replenishment policies for such items. In order to avoid disrupting the inventory system, a maximum issue quantity of w units is specified such that customer orders with sizes exceeding w units will be filtered out of the inventory system and treated as special orders to be satisfied by placing special replenishment orders to a supplier. Customer orders with sizes less than or equal to w units will be met from stock. A genetic search algorithm is developed to solve the problem. The theoretical results obtained are illustrated with a numerical example.