Optimizing Supply Chain Performance: Information Sharing and Coordinated Management

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Springer, 8 Jul 2015 - 214 halaman
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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 Introduction
1
2 Literature Review
8
3 A Methodology for the Exploration of Supply Chain Management
55
4 The Case Company Supply Chains
74
5 A Generalised Domestic and International Supply Chain Model
86
6 Mathematical Modelling for the Supply Chain System
105
7 Single Objective and Multiple Objective Genetic Algorithms
132
8 The Impact of Information Sharing
147
9 Evaluating the Single Objective Genetic Algorithm
164
10 Evaluating the Multiple Objective Genetic Algorithm
177
11 Conclusions
185
References
190
Index
213
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Tentang pengarang (2015)

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.

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