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This volume contains a broad specturm of both research and applications in both supply chain management and e-business.
Several chapters are written by practitioners at leading corporations.
It contains a variety of perspectives from researchers and pracitioners in disciplines beyond pure operations management or operations research.
This volume is suitable for researchers in supply chain management, e-business, and applied operations research as well as graduate students in these and other related disciplines. It would also be of interest to industry practitioners in supply chain management and e-business with interests in operations managements and operations research.
Supply Chain Operations.- Coordination of Inventory and Shipment Consolidation Decisions: A Review of Premises, Models, and Justification.- A Near-Optimal Order-Based Inventory Allocation Rule in an Assemble-To-Order System and its Applications to Resource Allocation Problems.- Improving Supply Chain Performance through Buyer Collaboration.- The Impact of New Supply Chain Management Practices on the Decision Tools Required by the Trucking Industry.- Managing the Supply-Side Risks in Supply Chains: Taxonomies, Processes, and Examples of Decision-Making Modeling.- Demand Propagation in ERP Integrated Assembly Supply Chains: Theoretical Models and Empirical Results.- Electronic Commerce and Markets.- Bridging the Trust Gap in Electronic Markets: A Strategic Framework for Empirical Study.- Strategies and Challenges of Internet Grocery Retailing Logistics.- Enabling Supply-Chain Coordination: Leveraging Legacy Sources for Rich Decision Support.- Collaboration Technologies for Supporting E-Supply Chain Management.- From Research to Practice.- The State of Practice in Supply-Chain Management: A Research Perspective.- Myths and Reality of Supply Chain Management: Implications for Industry-University Relationships.- Supply Chain Management: Interlinking Multiple Research Streams.- PROFIT: Decision Technology for Supply Chain Management at IBM Microelectronics Division.- Case Studies: Supply Chain Optimization Models in a Chemical Company.