| Article ID: | iaor20061528 |
| Country: | United Kingdom |
| Volume: | 43 |
| Issue: | 24 |
| Start Page Number: | 5161 |
| End Page Number: | 5179 |
| Publication Date: | Jan 2005 |
| Journal: | International Journal of Production Research |
| Authors: | Silver E.A., Zufferey N. |
| Keywords: | forestry, heuristics, simulation: applications |
Most inventory modelling has assumed stochastic demands and constant lead times. However, here we consider a problem for which the opposite situation holds; namely, there is a known constant demand rate, but lead times are random variables. Moreover, the probability distributions of the lead times change in a seasonal fashion. Also, shortages of raw materials result in lost sales. The goal of this paper is to propose heuristic methods for minimizing the expected costs in such a situation. This study was motivated by a problem of management of raw material at a sawmill.