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Engineering - Production & Process Engineering | Decision-Making for Supply Chain Integration - Supply Chain Integration

Decision-Making for Supply Chain Integration

Supply Chain Integration

Chan, Hing Kai, Lettice, Fiona, Durowoju, Olatunde Amoo (Eds.)

2012, XII, 256 p.

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  • Allows readers to understand more about recent developments in the area of distributed or decentralised decision-making problems for supply chain integration
  • Provides readers with insights on the tools and methodologies for solving decision-making problems
  • Includes real-life case studies on successful applications of various decision-making techniques

Effective supply chain integration, and the tight co-ordination it creates, is an essential pre-requisite for successful supply chain management.  Decision-Making for Supply Chain Integration is a practical reference on recent research in the area of supply chain integration focusing on distributed decision-making problems. Recent applications of various decision-making tools for integrating supply chains are covered including chapters focusing on:


•Supplier selection, pricing strategy and inventory decisions in multi-level supply chains,
•RFID-enabled distributed decision-making,
•Operational risk issues and time-critical decision-making for sensitive logistics nodes, Modelling end to end processes to improve supply chain integration, and
•Integrated systems to improve service delivery and optimize resource use.

Decision-Making for Supply Chain Integration provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques. By covering such a range of topics in this way, Decision-Making for Supply Chain Integration is a useful reference for researchers looking to develop their knowledge or find potential new avenues of research.

Content Level » Research

Keywords » Complex Adaptive Systems - Decision Making - Distributed Scheduling - Supply Chain - Virtual Organization

Related subjects » Organization - Human Resource Management - Production & Process Engineering

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