Optimizing Supply Chain Performance takes industrial case studies from SMEs in China to examine the importance of information sharing and coordinated management as essential mechanisms to improve supply chain performance.
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Optimizing Supply Chain Performance takes industrial case studies from SMEs in China to examine the importance of information sharing and coordinated management as essential mechanisms to improve supply chain performance.
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1. Introduction2. Literature Review3. A Methodology for the Exploration of Supply Chain Management4. The Case Company Supply Chains5. A Generalised Domestic and International Supply Chain Model6. Mathematical Modelling for the Supply Chain System7. Single Objective and Multiple Objective Genetic Algorithms8. The Impact of Information Sharing9. Evaluating the Single Objective Genetic Algorithm (SOGA)10. Evaluating the Single Objective Genetic Algorithm (MOGA) 11. Conclusions
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Produktdetaljer

ISBN
9781137501134
Publisert
2015-07-08
Utgiver
Vendor
Palgrave Macmillan
Høyde
216 mm
Bredde
140 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

Michael Roe is Professor of Maritime Governance at Plymouth University, UK, with research interests in policy-making in the maritime sector and supply chain management. He has published over 15 other books and numerous research papers.

Dongping Song is Professor of Supply Chain Management at the University of Liverpool Management School, UK. His research interests include modelling, control and optimization of container shipping logistics, supply chain systems and manufacturing and service systems with uncertainties. He has widely published in supply chain management.

Wei Xu is a founder of Broadtek Innovation Ltd (BTI) and China Material System Cooperation (CMSC). Her research focuses on Supply Chain Performance Optimisation. Her industrial expertise is in technology management and transfer for 3D Printing and materials for the health care industry.