Optimizing supply chain performance

Optimizing supply chain performance: information sharing and coordinated management

by Roe, Michael

Type Book
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Supply chain management has attracted much attention in the last decade. There has been a noticeable shift from a traditional individual organization-based management to an integrated management across the supply chain network since the end of the last century. The shift contributes to better decision making in the supply chain context, as it is necessary for a company to cooperate with other supply chain members by utilising relevant information such as inventory, demand and resource capacity.…

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Title Statements

  • Full title :Optimizing supply chain performance : information sharing and coordinated management / Michael Roe, Wei Xu and Dongping Song.

Summary

Supply chain management has attracted much attention in the last decade. There has been a noticeable shift from a traditional individual organization-based management to an integrated management across the supply chain network since the end of the last century. The shift contributes to better decision making in the supply chain context, as it is necessary for a company to cooperate with other supply chain members by utilising relevant information such as inventory, demand and resource capacity. 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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Edition Statements

  • Publication Date:©2015

Publication Statements

  • Publisher(s):Palgrave Macmillan
  • Place of Publication:Houndmills, Basingstoke Hampshire
  • Language:eng
  • Publication Date:©2015

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781137501158, 1137501154, 9781137501141, 1137501146
  • DOI:10.1057/9781137501158
  • oclc:ocn911642881
  • LC Classification:HD38.5
  • Dewey Decimal:658.7

Table of Contents

1. Introduction -- 2. Literature Review -- 3. A Methodology for the Exploration of Supply Chain Management -- 4. The Case Company Supply Chains -- 5. A Generalised Domestic and International Supply Chain Model -- 6. Mathematical Modelling for the Supply Chain System -- 7. Single Objective and Multiple Objective Genetic Algorithms -- 8. The Impact of Information Sharing -- 9. Evaluating the Single Objective Genetic Algorithm (SOGA) -- 10. Evaluating the Single Objective Genetic Algorithm (MOGA) -- 11. Conclusions.

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