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010   $a3-319-04540-7
024 7 $a10.1007/978-3-319-04540-5
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035   $a(EBL)2096711
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035   $a(PQKBTitleCode)TC0001500715
035   $a(PQKBWorkID)11521065
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035   $a(DE-He213)978-3-319-04540-5
035   $a(MiAaPQ)EBC2096711
035   $a(PPN)185489737
035   $a(EXLCZ)993710000000402869
100   $a20150424d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDynamic and Stochastic Multi-Project Planning /$fby Philipp Melchiors
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (216 p.)
225 1 $aLecture Notes in Economics and Mathematical Systems,$x0075-8442 ;$v673
300   $aDescription based upon print version of record.
311   $a3-319-04539-3 
320   $aIncludes bibliographical references.
327   $a1. Introduction -- 2. Problem Statements -- 3. Literature Review -- 4. Continuous-time Markov Decision Processes -- 5. Generation of Problem Instances -- 6. Scheduling Using Priority Policies -- 7. Optimal and Near Optimal Scheduling Policies -- 8. Integrated Dynamic Order Acceptance and Capacity Planning -- 9. Conclusions and Future Work.
330   $aThis book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order acceptance and capacity planning. In an extensive simulation study, the book thoroughly investigates existing scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then the book presents a new model for the effective computation of optimal policies based on a Markov decision process. Finally, the book provides insights into the structure of optimal policies.
410  0$aLecture Notes in Economics and Mathematical Systems,$x0075-8442 ;$v673
606   $aProject management
606   $aOperations research
606   $aDecision making
606   $aManagement science
606   $aManagement
606   $aIndustrial management
606   $aProduction management
606   $aMathematical optimization
606   $aProject Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515020
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
606   $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000
606   $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000
606   $aDiscrete Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26040
615  0$aProject management.
615  0$aOperations research.
615  0$aDecision making.
615  0$aManagement science.
615  0$aManagement.
615  0$aIndustrial management.
615  0$aProduction management.
615  0$aMathematical optimization.
615 14$aProject Management.
615 24$aOperations Research/Decision Theory.
615 24$aOperations Research, Management Science.
615 24$aInnovation/Technology Management.
615 24$aOperations Management.
615 24$aDiscrete Optimization.
676   $a330
676   $a519.6
676   $a658.40301
676   $a658.5
676   $a658404
676   $a658514
700   $aMelchiors$b Philipp$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059977
906   $aBOOK
912   $a9910298517303321
996   $aDynamic and Stochastic Multi-Project Planning$92510032
997   $aUNINA