Article ID: | iaor20097479 |
Country: | South Korea |
Volume: | 34 |
Issue: | 4 |
Start Page Number: | 425 |
End Page Number: | 432 |
Publication Date: | Dec 2008 |
Journal: | Journal of the Korean Institute of Industrial Engineers |
Authors: | Hyun HyeMi, Rim SukChul |
Keywords: | production |
While the Vendor–Managed Inventory(VMI) is a convenient inventory replenishment policy for the customer company, the supplier usually bears the burden of higher inventory and urgent shipments to avoid shortage. Recently some manufacturers begin to fix the production schedule for the next few days (such as three days). Utilizing that information can improve the efficiency of the VMI. In this study, we present a myopic optimization model using a mixed inter programming; and a heuristics algorithm. We compare the performance of the two proposed methods with the existing (s, S) reorder policy. We consider the total cost as the sum of transportation cost and inventory cost at the customer’s site. Numerical tests indicate that the two proposed methods significantly reduce the total cost over the (s, S) policy.