Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling (eBook)
XII, 264 Seiten
Springer International Publishing (Verlag)
978-3-319-26024-2 (ISBN)
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 used in 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.
Ghaith Rabadi 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.
He has published numerous journal and conference papers and contributed several book chapters in edited volumes. His research has been funded by NASA, Department of Homeland Security, Virginia Port Authority, Northrop Grumman Shipbuilding, MITRE Corporation, STIHL, CACI, Sentara Hospitals and Qatar National Research Fund of Qatar Foundation. He received the NASA Faculty Fellowship where he worked at NASA Langley Research Center in Virginia as a faculty fellow. He also received the Fulbright Specialist Program award. His research and teaching interests include Planning and Scheduling, Operations Research, Simulation Modeling and Analysis, Analytics, and Supply Chain Management and Logistics. He founded the International Journal of Planning and Scheduling in 2010 and has been serving as its Chief Editor since then.
Ghaith Rabadi 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. He has published numerous journal and conference papers and contributed several book chapters in edited volumes. His research has been funded by NASA, Department of Homeland Security, Virginia Port Authority, Northrop Grumman Shipbuilding, MITRE Corporation, STIHL, CACI, Sentara Hospitals and Qatar National Research Fund of Qatar Foundation. He received the NASA Faculty Fellowship where he worked at NASA Langley Research Center in Virginia as a faculty fellow. He also received the Fulbright Specialist Program award. His research and teaching interests include Planning and Scheduling, Operations Research, Simulation Modeling and Analysis, Analytics, and Supply Chain Management and Logistics. He founded the International Journal of Planning and Scheduling in 2010 and has been serving as its Chief Editor since then.
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 tutorial.- Scheduling a Bi-objective Unrelated Parallel Machine problem using Meta-RaPS.- Simulation and Optimization of Ant Colony Optimization Algorithm for the Stochastic Euclidean location-allocation problem.- Metaheuristics for a Scheduling Problem Involving Batch Processing Machines.- Product Wheels in Manufacturing Operations Planning.
| Erscheint lt. Verlag | 27.1.2016 |
|---|---|
| Reihe/Serie | International Series in Operations Research & Management Science | International Series in Operations Research & Management Science |
| Zusatzinfo | XII, 264 p. 48 illus., 23 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Themenwelt | Wirtschaft ► Allgemeines / Lexika |
| Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
| Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation | |
| Schlagworte | ant colony optimization • Approximate Methods • Batch Processing Machines • Heuristics • Manufacturing Operations • Metaheuristics • Meta-RaPS • Randomized Priority Search • Runway Scheduling • Scheduling • Spatial Scheduling • Stochastic Scheduling • Surgical Scheduling |
| ISBN-10 | 3-319-26024-3 / 3319260243 |
| ISBN-13 | 978-3-319-26024-2 / 9783319260242 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 4,6 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
