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Details zum Buch

Detailangaben zum Buch - Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling (International Series in Operations Research & Management Science, Band 236)


EAN (ISBN-13): 9783319798783
ISBN (ISBN-10): 3319798782
Taschenbuch
Erscheinungsjahr: 2016
Herausgeber: Rabadi, Ghaith, Springer

Buch in der Datenbank seit 2019-03-23T00:50:43+01:00 (Vienna)
Detailseite zuletzt geändert am 2022-09-11T13:57:56+02:00 (Vienna)
ISBN/EAN: 9783319798783

ISBN - alternative Schreibweisen:
3-319-79878-2, 978-3-319-79878-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ghai
Titel des Buches: heuristic research, metaheuristic, scheduling


Daten vom Verlag:

Autor/in: Ghaith Rabadi
Titel: International Series in Operations Research & Management Science; Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
Verlag: Springer; Springer International Publishing
264 Seiten
Erscheinungsjahr: 2018-03-30
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 264 p. 48 illus., 23 illus. in color.

BC; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Unternehmensforschung; Verstehen; Wirtschaft; Ant Colony Optimization; Approximate Methods; Batch Processing Machines; Heuristics; Manufacturing Operations; Meta-RaPS; Metaheuristics; Randomized Priority Search; Runway Scheduling; Scheduling; Spatial Scheduling; Stochastic Scheduling; Surgical Scheduling; Operations Research and Decision Theory; Supply Chain Management; Logistics; Operations Research, Management Science; Management: Entscheidungstheorie; Einkaufs- und Supply-Management; Distributions-, Lager- und Logistikmanagement; BB

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods usedin the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Metaheuristics for Spatial Scheduling.- Engineering Management & Systems Engineering.- Setting Release Change Costs to Freeze the Schedule in A Single Product Single-Stage Production System.- A Comparative Study of Genetic Algorithms for the Robotic Cell Problem with Controllable Processing Times.- Stochastic Scheduling for a Network of Flexible Job Shops.- A New Approach to Surgical Scheduling?.- Optimization Models and Heuristics for Runway Scheduling Problems.- A Metaheuristic Algorithm for The Runway Scheduling Problem.- Approximation algorithms for scheduling problems under non-availability constraints.- Meta-heuristic for Randomized Priority Search (Meta-RaPS): A tut

 is a faculty member in the Department of Engineering Management & Systems Engineering at Old Dominion University.  He received his Ph.D. and M.S. in Industrial Engineering from the University of Central Florida (UCF) in 1999 and 1996 respectively, and his B.S. in Industrial Engineering from the University of Jordan in 1992. Prior to joining the faculty at Old Dominion in 2002, he was a post doc for one year and a Visiting Assistant professor at the Industrial Engineering & Management Systems Department at UCF for another year. 

in 2010 and has been serving as its Chief Editor since then.

Ghaith Rabadi NASA Faculty Fellowship Fulbright Specialist Program International Journal of Planning and Scheduling

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods usedin the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.


First book to examine developments in the use of heuristics in scheduling problems since 1993 Considers problems in manufacturing, services, and healthcare Contributors include some of the most prominent names in the field Includes supplementary material: sn.pub/extras

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