ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management
Expert Systems with Applications: An International Journal
Formalizing visibility characteristics in hierarchical systems
Data & Knowledge Engineering
A highly flexible data structure for multi-level visibility of P2P communities
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Development of a multi-agent-based distributed simulation platform for semiconductor manufacturing
Expert Systems with Applications: An International Journal
Modeling visibility in hierarchical systems
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Engineering e-Collaboration Services with a Multi-Agent System Approach
International Journal of Systems and Service-Oriented Engineering
A collaborative food safety service agent architecture with alerts and trust
Information Systems Frontiers
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This article proposes a multi-agent information system (MAIS) approach to model the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of the finished goods. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. The proposed multi-agent information system (MAIS) approach is used for modeling the OFP in SCNs, and evaluating OFP performance by applying the proposed strategies. The objective of reengineering the OFP is to achieve agility of the process in terms of efficiency, flexibility, robustness and adaptability. A multi-agent simulation platform, called Swarm, is enhanced and applied for modeling the MAIS, and experiments are conducted to simulate the OFP in SCNs in a multi-agent environment. Based on the Swarm simulation platform, we model the OFP in SCNs, simulate the OFP, and then evaluate the potential OFP improvement strategies to identify useful strategies for improving the OFP. The results shed lights on identifying the main effects of various strategies on OFP performance. The insights of utilizing various strategies in different SCNs help redesign the OFP in SCNs.