Article ID: | iaor20082062 |
Country: | United Kingdom |
Volume: | 10 |
Issue: | 3 |
Start Page Number: | 181 |
End Page Number: | 193 |
Publication Date: | Jun 2007 |
Journal: | Journal of Scheduling |
Authors: | Shtub Avraham, Golany Boaz, Cohen Izack |
Keywords: | project management, queues: applications, heuristics, simulation: applications |
This paper addresses the problem of resource allocation in a finite-capacity, stochastic (random) and dynamic multi-project system. The system is modeled as a queuing network that is controlled by limiting the number of concurrent projects. We propose a Cross Entropy based approach to determine near-optimal resource allocations to the entities that execute the projects. The performance of the suggested approach is demonstrated through numerical experiments and compared to that of a heuristic, rough-cut based method.