Effective Resource Management in Manufacturing Systems
Optimization Algorithms in Production Planning
(Sprache: Englisch)
Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related...
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Klappentext zu „Effective Resource Management in Manufacturing Systems “
Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns. This book will be bought by postgraduate students of business, engineering and computer science as well as researchers in these fields. It will also be of interest to practitioners in manufacturing systems and operations managers in industry.
Inhaltsverzeichnis zu „Effective Resource Management in Manufacturing Systems “
- Manufacturing Systems: Trends, Classification, Behaviour Patterns, and Functionalities- On-Line Load Balancing
- Resource Levelling
- Scheduling Jobs in Robotized Cells with Multiple Shared Resources
- Tool Management on Flexible Machines
Autoren-Porträt von Massimiliano Caramia, Paolo Dell'Olmo
Massimiliano Caramia received his Laurea Degree in Management Engineering at the University of Rome "Tor Vergata", Italy in 1996, and his Ph.D. in Operations Research at the University of Rome "La Sapienza" in 2000. From 2000 to 2001 he was a research associate at the University of Rome "Tor Vergata", since then he has been a researcher at the Istituto per le Applicazioni del Calcolo "M. Picone" of the Italian National Research Council. His primary research interests include: combinatorial optimization, manufacturing, real life scheduling problems and logistics. He has published many papers in international journals such as Discrete Mathematics and SIAM Journal on Optimization, Networks, and has acted as a referee for many international journals, including: Journal of Discrete Algorithms, Transportation Science and International Transactions in Operational Research. His teaching subjects are Operations Research, Models and Analysis of Manufacturing Systems, Mathematical Methods for Management, Decision Support Systems, Quality and Performance Management, Project Management.Paolo Dell'Olmo received his Laurea Degree in Electronic Engineering at the University of Rome "La Sapienza", Italy. He became a full professor in Operations Research in 2000. He has been a visiting scholar at the Department of Systems and Industrial Engineering of University of Arizona (1992-93), a visiting professor at the Operation Research Center of MIT (1998). Currently, he is: Head of the Department of Statistics, Probability and Applied Statistics at the University of Rome "La Sapienza", he is also a Director of the Masters degree in Data Intelligence and Strategic Decisions and coordinator of the PhD program in Operations Research of the University of Rome as well as a research fellow of the Istituto di Analisi dei Sistemi e Informatica. He has been responsible for several national and international research projects and author of more than 60 scientific papers published in
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international journals. His primary research interests include: combinatorial optimization and real life scheduling and routing problems.
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Bibliographische Angaben
- Autoren: Massimiliano Caramia , Paolo Dell'Olmo
- 2005, 216 Seiten, Masse: 16,2 x 24,4 cm, Gebunden, Englisch
- Verlag: Springer, London
- ISBN-10: 1846280052
- ISBN-13: 9781846280054
Sprache:
Englisch
Rezension zu „Effective Resource Management in Manufacturing Systems “
Owing to its large operational impact, resource management is increasingly becoming an important function in manufacturing systems. Contributions on how to organize or manage this function are always appreciated. This book aims to provide robust methods for achieving effective resource allocation in dynamic environments, specially focussing on problems such as resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. Details of extensive experimentation are provided for the proposed techniques to put them in a practical perspective. This is particularly useful as it helps the reader to reproduce these techniques and implement them in real scenarios.The book is well written and documented. It is a good reference for postgraduate students and practitioners who are working in the field of resource management and scheduling in manufacturing systems. The book is well written and documented. It is a good reference for postgraduate students and practitioners who are working in the field of resource management and scheduling in manufacturing systems. International Journal of Advanced Manufacturing TechnologyReviewer, A A Afify, MEC, Cardiff University
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