Resource allocation in stochastic, finite-capacity, multi-project systems through the cross entropy methodology

Resource allocation in stochastic, finite-capacity, multi-project systems through the cross entropy methodology

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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: , ,
Keywords: project management, queues: applications, heuristics, simulation: applications
Abstract:

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.

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