Overview
- Presents a wide range of relevant scheduling models with changing times and RMAs. The corresponding problems are handled from unified methodological positions
- Each chapter includes results on both single machine environments and parallel machine environments, when applicable
- Authors have received high honors and recognition for their research and analysis in this area
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 243)
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Table of contents (20 chapters)
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Models and Methods of Classical Scheduling
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Scheduling with Time-Changing Effects
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Scheduling with Rate Modifying Activities
Keywords
About this book
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.
Authors and Affiliations
About the authors
Dr Kabir Rustogi is currently working in the Logistics industry in New Delhi, India, as an Operational Research scientist. Formerly, he was a Senior Lecturer of Operational Research in the Department of Mathematical Sciences of the University of Greenwich, London, UK. He received his PhD from Greenwich in 2013 for his work on machine scheduling with changing processing times, which also won him the prestigious O.R. Society Best PhD Award in the United Kingdom. He has published his work in several high impact journals and is widely cited, even at an early stage of his career. His previous degrees include an MSc in Operational Research from the University of Edinburgh and a BTech in Engineering Physics from the Indian Instituteof Technology Delhi.
Bibliographic Information
Book Title: Scheduling with Time-Changing Effects and Rate-Modifying Activities
Authors: Vitaly A. Strusevich, Kabir Rustogi
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-319-39574-6
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-39572-2Published: 28 October 2016
Softcover ISBN: 978-3-319-81915-0Published: 23 June 2018
eBook ISBN: 978-3-319-39574-6Published: 18 October 2016
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXV, 455
Number of Illustrations: 14 b/w illustrations
Topics: Logistics, Operations Research/Decision Theory, Engineering Economics, Organization, Logistics, Marketing
Industry Sectors: Biotechnology