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Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning

Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 118733826 Buchausg. u.d.T.: ‡Caramia, Massimiliano: Effective resource management in manufacturing systems
ISBN 978-1-84628-005-4
Name Caramia, Massimiliano
Dell'Olmo, Paolo
Name ANZEIGE DER KETTE Dell'Olmo, Paolo
T I T E L Effective Resource Management in Manufacturing Systems
Zusatz zum Titel Optimization Algorithms for Production Planning
Verlagsort London
Verlag Springer London
Erscheinungsjahr 2006
2006
Umfang Online-Ressource (XXII, 216 p. 78 illus, digital)
Reihe Springer Series in Advanced Manufacturing
Titelhinweis Buchausg. u.d.T.: ‡Caramia, Massimiliano: Effective resource management in manufacturing systems
ISBN ISBN 978-1-84628-227-0
Klassifikation TGP
TEC009060
670
T55.4-60.8
ZG 9220
Kurzbeschreibung Manufacturing Systems: Trends, Classification, and Behavior Patterns -- On-Line Load Balancing -- Resource Levelling -- Scheduling Jobs in Robotized Cells with Multiple Shared Resources -- Tool Management on Flexible Machines.
2. Kurzbeschreibung Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies. Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios. This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.
1. Schlagwortkette Optimierung
Produktionsplanung
Ressourcenmanagement
ANZEIGE DER KETTE Optimierung -- Produktionsplanung -- Ressourcenmanagement
SWB-Titel-Idn 264342364
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/1-84628-227-6
Internetseite / Link Volltext
Siehe auch Inhaltsverzeichnis
Siehe auch Kapitel 1
Siehe auch Inhaltstext
Siehe auch Cover
Kataloginformation500114416 Datensatzanfang . Kataloginformation500114416 Seitenanfang .
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