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024 7 $a10.1007/978-3-658-08167-6
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035   $a(EBL)1965906
035   $a(OCoLC)908084378
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035   $a(PQKBTitleCode)TC0001385904
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035   $a(DE-He213)978-3-658-08167-6
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100   $a20141118d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDecision Support for Crew Rostering in Public Transit $eWeb-Based Optimization System for Cyclic and Non-Cyclic Rostering /$fby Lin Xie
205   $a1st ed. 2015.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2015.
215   $a1 online resource (182 p.)
225 0 $aResearch
300   $aDescription based upon print version of record.
311   $a3-658-08166-X 
320   $aIncludes bibliographical references.
327   $aCyclic and Non-Cyclic Crew Rostering in Public Transit -- Mathematical Programming and Optimal Crew Rostering -- Column Generation and Metaheuristics for Solving the Crew Rostering Problem -- Web-Based Decision Support System for Crew Rostering.
330   $aWhile traditionally sequential approaches have been used to deal with the cyclic/non-cyclic crew rostering problem in public transit, Lin Xie focuses on several solution approaches based on a novel network design to solve this task within one step. This is due to the fact that sequential planning often produces some unassigned duties that require additional drivers to cover them, while some drivers do not get jobs on some days. This integrated approach reduces additional personnel/operational costs and improves the satisfaction of drivers compared with the sequential one. Moreover, the author develops a web-based decision support system, which supports the planner in choosing a customized model as well as a suitable solution approach for solving the problem. Contents Cyclic and Non-Cyclic Crew Rostering in Public Transit Mathematical Programming and Optimal Crew Rostering Column Generation and Metaheuristics for Solving the Crew Rostering Problem Web-Based Decision Support System for Crew Rostering Target Groups Researchers and students in the fields of business information systems, computer science, mathematics with a focus on operations research and decision support systems Practitioners in the fields of transportation and crew rostering The Author Lin Xie holds a doctoral degree from the Faculty of Business Administration and Economics at the University of Paderborn. She is a research associate in the Decision Support & Operations Research Lab at the University of Paderborn.
606   $aOperations research
606   $aDecision making
606   $aInformation technology
606   $aBusiness?Data processing
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
615  0$aOperations research.
615  0$aDecision making.
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615 14$aOperations Research/Decision Theory.
615 24$aIT in Business.
676   $a330
676   $a650
676   $a658.40301
700   $aXie$b Lin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063550
906   $aBOOK
912   $a9910298500903321
996   $aDecision Support for Crew Rostering in Public Transit$92532958
997   $aUNINA