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 |
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Pages (from-to) | 181-193 |
Number of pages | 13 |
Journal | Journal of Scheduling |
Volume | 10 |
Issue number | 3 |
DOIs | |
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 |
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Austrian Science Fund | M007-MOB |
Medicinska Forskningsrådet | P8963-MOB |
Keywords
- Cross entropy
- Project management
- Resource allocation
- Simulation
- Stochastic processes
- Uncertainty