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

Izack Cohen; Boaz Golany; Avraham Shtub

doi:10.1007/s10951-007-0013-0

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

Izack Cohen
, Boaz Golany
, Avraham Shtub

Technion-Israel Institute of Technology

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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 (CE) 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.

Original language	English
Pages (from-to)	181-193
Number of pages	13
Journal	Journal of Scheduling
Volume	10
Issue number	3
DOIs	https://doi.org/10.1007/s10951-007-0013-0
State	Published - Jun 2007
Externally published	Yes

Bibliographical note

Funding Information:
We are grateful to Dr. Jan van Duin for providing purified S1 protein and anti-S1 antibodies and to Dr. Rail Mattes for providing plasmid pUBS520. K.T. was supported by a Lise Meitner fellowship from the Austrian Science Foundation (M007-MOB). This work was funded by grant 72 from the Swedish Medical Research Council to E.H.-L. and by grant P8963-MOB from the Austrian Science Foundation to U.B.

Funding

We are grateful to Dr. Jan van Duin for providing purified S1 protein and anti-S1 antibodies and to Dr. Rail Mattes for providing plasmid pUBS520. K.T. was supported by a Lise Meitner fellowship from the Austrian Science Foundation (M007-MOB). This work was funded by grant 72 from the Swedish Medical Research Council to E.H.-L. and by grant P8963-MOB from the Austrian Science Foundation to U.B.

Funders	Funder number
Austrian Science Fund	M007-MOB
Medicinska Forskningsrådet	P8963-MOB

Keywords

Cross entropy
Project management
Resource allocation
Simulation
Stochastic processes
Uncertainty

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10.1007/s10951-007-0013-0

Cite this

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

Abstract

Bibliographical note

Funding

Keywords

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