Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60417
Title: Design of an agent-based system for improving supply chain strategy
Authors: Lau, HCW
Tse, YK
Ho, GTS
Ning, A
Keywords: Agent-based systems
Multi-agent systems
MAS
Information systems
Logistics strategy
SCM
Supply chain management
Intelligent agents
Case-based reasoning
Online analytical processing
Issue Date: 2009
Publisher: InterScience
Source: International journal of intelligent systems technologies and applications, 2009, v. 6, no. 3-4, p. 198-214 How to cite?
Journal: International journal of intelligent systems technologies and applications 
Abstract: Supply chain managers and decision makers are facing a challenge to develop supply chains that are efficient and economical, with the ability to provide the organisation with added value by simultaneously enhancing the quality of customer service and reducing operation cost. Supply Chain Management has become a major vehicle to gain a competitive advantage in this ever-changing market. It can also make instant improvements to an enterprise's business strategies. Supply chain strategy is not simply derived from the business strategy. It can be the enabler of the business strategy. It promotes good responsiveness to customer demands by shortening the product life cycle throughout the supply pipeline. In this paper, an intelligent agent-based system, named Supply Chain Strategy Improvement System is proposed. Its aim is to provide support to decision-making in matters related to the supply chain strategy by utilising various artificial intelligence techniques, including Multi-agent System techniques, Case-based Reasoning and Online Analytical Processing.
URI: http://hdl.handle.net/10397/60417
ISSN: 1740-8865
DOI: 10.1504/IJISTA.2009.024254
Appears in Collections:Journal/Magazine Article

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