Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning (Springer Series in Advanced Manufacturing)

Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning (Springer Series in Advanced Manufacturing)
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Effective Resource Management in Manufacturing Systems:

Optimization Algorithms for Production Planning

(Springer Series in Advanced Manufacturing)

BY Massimiliano Caramia (Author), Paolo Dell'Olmo (Author)



Publisher: Springer; 1st Edition. edition (January 9, 2006)



Review

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 Technology

Reviewer, A A Afify, MEC, Cardiff University



Product Description

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.