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Scheduling with Time-Changing Effects and Rate-Modifying Activities / by Vitaly A. Strusevich, Kabir Rustogi
(International Series in Operations Research & Management Science. ISSN:22147934 ; 243)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2017
Edition 1st ed. 2017.
Authors *Strusevich, Vitaly A author
Rustogi, Kabir author
SpringerLink (Online service)

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OB00161999 Springer Business and Management eBooks (電子ブック) 9783319395746

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Material Type E-Book
Media type 機械可読データファイル
Size XXV, 455 p. 14 illus : online resource
Notes I Models and Methods of Classical Scheduling -- Models and Concepts of Classical Scheduling -- Pairwise Interchange Argument -- Sequencing under Precedence Constraints -- Relevant Boolean Programming Problems
In scheduling theory, the models that have attracted considerable attention during the last two decades allow the processing times to be variable, i.e., to be subjected to various effects that make the actual processing time of a job dependent on its location in a schedule. The impact of these effects includes, but is not limited to, deterioration and learning. Under the first type of effect, the later a job is scheduled, the longer its actual processing time becomes. In the case of learning, delaying a job will result in shorter processing times. Scheduling with Time-Changing Effects and Rate-Modifying Activities covers and advances the state-of-the-art research in this area. The book focuses on single machine and parallel machine scheduling problems to minimize either the maximum completion time or the sum of completion times of all jobs, provided that the processing times are subject to various effects. Models that describe deterioration, learning and general non-monotone effects to be considered include positional, start-time dependent, cumulative and their combinations, which cover most of the traditionally used models. The authors also consider more enhanced models in which the decision-maker may insert certain Rate-Modifying Activities (RMA) on processing machines, such as for example, maintenance or rest periods. In any case, the processing times of jobs are not only dependent on effects mentioned above but also on the place of a job in a schedule relative to an RMA. For most of the enhanced models described in the book, polynomial-time algorithms are presented which are based on similar algorithmic ideas such as reduction to linear assignment problems (in a full form or in a reduced form), discrete convexity, and controlled generation of options
HTTP:URL=https://doi.org/10.1007/978-3-319-39574-6
Subjects LCSH:Business logistics
LCSH:Operations research
LCSH:Industrial Management
FREE:Logistics
FREE:Operations Research and Decision Theory
FREE:Industrial Management
Classification LCC:HD38.5
DC23:658.7
ID 8000069594
ISBN 9783319395746

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