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Optimal project sequencing with recourse at a scarce resource

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dc.contributor.author Kavadias, S en
dc.contributor.author Loch, CH en
dc.date.accessioned 2014-03-01T01:53:00Z
dc.date.available 2014-03-01T01:53:00Z
dc.date.issued 2003 en
dc.identifier.issn 10591478 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/26821
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-5644271863&partnerID=40&md5=b803613a71a72ad86037db033dcfe4b4 en
dc.subject Dynamic programming en
dc.subject Portfolio selection en
dc.subject Product development en
dc.subject Project prioritization en
dc.subject Resource allocation en
dc.title Optimal project sequencing with recourse at a scarce resource en
heal.type journalArticle en
heal.publicationDate 2003 en
heal.abstract We develop a dynamic prioritization policy to optimally allocate a scarce resource among K projects, only one of which can be worked on at a time. When the projects' delay costs differ, the problem (a ""restless bandit"") has not been solved in general. We consider the policy of working on the project with the highest expected delay loss as if the other project was completely finished first (although recourse is allowed). This policy is optimal if: (1) the delay cost increases with the delay regardless of the performance state, (2) costs are not discounted (or, discounting is dominated by delay costs), (3) projects are not abandoned based on their performance state during processing at the scarce resource, and (4) there are no stochastic delays. These assumptions are often fulfilled for processing at specialized resources, such as tests or one-off analyses. en
heal.journalName Production and Operations Management en
dc.identifier.volume 12 en
dc.identifier.issue 4 en
dc.identifier.spage 433 en
dc.identifier.epage 444 en


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