| Article ID: | iaor19981193 |
| Country: | Netherlands |
| Volume: | 81 |
| Issue: | 2 |
| Start Page Number: | 346 |
| End Page Number: | 356 |
| Publication Date: | Mar 1995 |
| Journal: | European Journal of Operational Research |
| Authors: | Kyriakidis E.G. |
| Keywords: | agriculture & food, markov processes |
This paper deals with the problem of controlling a simple immigration–birth–death process, which represents a pest population, by the introduction of total catastrophes. The optimality criterion is that of minimising the long-run average cost per unit time. A semi-Markov decision formulation with a finite set of decision epochs is obtained, provided that the birth, death and catastrophe rates satisfy a certain condition. The optimal policy is found to be of control-limit type by the standard policy iteration algorithm.