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This paper explores a linguistic approach to coordination modeling as a formal basis for supply-chain management (SCM) in manufacturing. The approach promotes the interchange of standard documents: enterprises need only describe their supply processes using OAG business object documents and UML interaction diagrams. Our methodology and tools analyze the documents and interactions in terms of four linguistic primitives and convert the diagrams into specifications and implementations of software agents. The agents then cooperate in automating the resultant supply chain. We evaluate our methodology in the context of several industrial scenarios. We conclude that supplychain automation using software-agent technology is feasible

Topics: Categories and Subject Descriptors I.2.11 [Artificial Intelligence, Distributed Artificial Intelligence – multiagent systems. General Terms Management, Economics, Standardization Keywords Supply-chain automation
Year: 2013
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