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Effective Resource Management in Manufacturing Systems
Caramia, Massimiliano; Dell'Olmo, Paolo
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Description for Effective Resource Management in Manufacturing Systems
Paperback. Series: Springer Series in Advanced Manufacturing. Num Pages: 238 pages, 90 black & white tables, biography. BIC Classification: TGP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 343.
Manufacturing systems work with scarce resources in dynamic environments. Managers need to assign production facilities to parallel activities, respecting operational constraints and deadlines while keeping costs low. Old scheduling approaches are inadequate when a task both requires a set of different resources and a trade-off between objectives. More sophisticated models and algorithms are needed by these managers.
This book provides robust methods for achieving effective resource allocation. It also solves problems such as resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling that occur daily and often generate cost overruns. The quantitative methods ... Read moreused cover both mathematical programming and algorithms, leading to high quality solutions. Details of experimentation put these techniques in a practical perspective.
This book is a valuable resource for postgraduate students and researchers in business, engineering or computer science.
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Product Details
Publisher
Springer London Ltd United Kingdom
Series
Springer Series in Advanced Manufacturing
Place of Publication
England, United Kingdom
Shipping Time
Usually ships in 15 to 20 working days
About Caramia, Massimiliano; Dell'Olmo, Paolo
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 ... Read moreper 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 paperspublished in international journals. His primary research interests include: combinatorial optimization and real life scheduling and routing problems. Show Less
Reviews for 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 ... Read morein 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 Technology Reviewer, A A Afify, MEC, Cardiff University Show Less
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