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000724424 020__ $$a9783658081676$$qelectronic book
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000724424 0247_ $$a10.1007/978-3-658-08167-6$$2doi
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000724424 035__ $$aSP(OCoLC)896342378
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000724424 08204 $$a331.257$$a388.068$$223
000724424 1001_ $$aXie, Lin,$$eauthor.
000724424 24510 $$aDecision support for crew rostering in public transit$$h[electronic resource] :$$bweb-based optimization system for cyclic and non-cyclic rostering /$$cLin Xie.
000724424 264_1 $$aWiesbaden [Germany] :$$bSpringer Gabler,$$c[2015]
000724424 264_4 $$c©2015
000724424 300__ $$a1 online resource :$$billustrations.
000724424 336__ $$atext$$btxt$$2rdacontent
000724424 337__ $$acomputer$$bc$$2rdamedia
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000724424 5050_ $$aCyclic and Non-Cyclic Crew Rostering in Public Transit -- Mathematical Programming and Optimal Crew Rostering -- Column Generation and Metaheuristics for Solving the Crew Rostering Problem -- Web-Based Decision Support System for Crew Rostering.
000724424 506__ $$aAccess limited to authorized users.
000724424 520__ $$aWhile traditionally sequential approaches have been used to deal with the cyclic/non-cyclic crew rostering problem in public transit, Lin Xie focuses on several solution approaches based on a novel network design to solve this task within one step. This is due to the fact that sequential planning often produces some unassigned duties that require additional drivers to cover them, while some drivers do not get jobs on some days. This integrated approach reduces additional personnel/operational costs and improves the satisfaction of drivers compared with the sequential one. Moreover, the author develops a web-based decision support system, which supports the planner in choosing a customized model as well as a suitable solution approach for solving the problem. Contents Cyclic and Non-Cyclic Crew Rostering in Public Transit Mathematical Programming and Optimal Crew Rostering Column Generation and Metaheuristics for Solving the Crew Rostering Problem Web-Based Decision Support System for Crew Rostering Target Groups Researchers and students in the fields of business information systems, computer science, mathematics with a focus on operations research and decision support systems Practitioners in the fields of transportation and crew rostering The Author Lin Xie holds a doctoral degree from the Faculty of Business Administration and Economics at the University of Paderborn. She is a research associate in the Decision Support & Operations Research Lab at the University of Paderborn.
000724424 588__ $$aDescription based on online resource; title from PDF title page (viewed December 12, 2014).
000724424 650_0 $$aShift systems.
000724424 650_0 $$aTransportation$$xManagement.
000724424 650_0 $$aTransport workers.
000724424 650_0 $$aLocal transit.
000724424 650_0 $$aCrew Rostering
000724424 77608 $$iPrint version:$$z9783658081669
000724424 852__ $$bebk
000724424 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-658-08167-6$$zOnline Access$$91397441.1
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