Agents that reduce work and information overload
Communications of the ACM
Applications of distributed artificial intelligence in industry
Foundations of distributed artificial intelligence
Software agents
Seven good reasons for mobile agents
Communications of the ACM
Flexible double auctions for electionic commerce: theory and implementation
Decision Support Systems - Special issue on economics of electronic commerce
Efficient mechanisms for the supply of services in multi-agent environments
Decision Support Systems - Special issue on information and computational economics
Problem solving for effective systems analysis: an experimental exploration
Communications of the ACM
An agent-based approach for building complex software systems
Communications of the ACM
Agent-Based Supply Chain Integration
Information Technology and Management
Combinatorial auctions using rule-based bids
Decision Support Systems
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
The role of e-marketplaces in relationship-based supply chains: a survey
IBM Systems Journal
The supply chain trading agent competition
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
A multi-agent knowledge model for SMEs mechatronic supply chains
Journal of Intelligent Manufacturing
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Multi-agent systems have the potential to improve supply chain management. The adoption of such systems has been limited, as their design often neglects existing organizational realities and the business value for the various stakeholders is not clear. In this paper, a multi-agent system improving supply chain management is designed and its business value is evaluated. We present the semi-cooperative architecture and evaluate the benefits using agent-based simulation. We found that the multi-agent system increases the level of flexibility in the supply chain and enables supply chain members to become more responsive. This has a positive impact on the ordering lead-time, human processing time, the inventory levels and number of stock-outs.