Article ID: | iaor19952084 |
Country: | Switzerland |
Volume: | 56 |
Issue: | 1 |
Start Page Number: | 109 |
End Page Number: | 133 |
Publication Date: | Jun 1995 |
Journal: | Annals of Operations Research |
Authors: | Sciomachen A., Gaivoronski A., Messina E. |
Keywords: | programming: probabilistic |
In this paper the authors are concerned with a stochastic optimization approach for determining the optimal job-sequencing in a robot-handler production system, such that the best value of some performance indices which depend on control parameters are obtained. The idea is to reflect the possible control policies of the system in its Stochastic Petri Net model (SPN) and to select a suitable conflict resolution rule whenever the transitions representing the possible actions of the robot are enabled. This rule would depend on a vector