About this book
This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems.
The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems.
This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
Editors and affiliations
- DOI https://doi.org/10.1007/b101812
- Copyright Information Springer Science + Business Media, Inc. 2005
- Publisher Name Springer, Boston, MA
- eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
- Print ISBN 978-0-387-23566-0
- Online ISBN 978-0-387-23581-3
- Series Print ISSN 1384-6485
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