Browsing by Author "Tolone, W. J."
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Item Agent-based approach for manufacturing integration: The ciimplex experience(Taylor and Francis Online, 2010-11-26) Peng, Y.; Finin, T.; Labrou, Y.; Cost, R.S.; Chu, B.; Long, J.; Tolone, W. J.; Boughannam, A.The production management system used by most manufacturers today is comprised of disconnected planning and execution processes, and lacks the support for interoperability and collaboration needed for enterprise-wide integration. This situation often prevents the manufacturer from fully exploring market opportunities in a timely fashion. To address this problem, we are exploring an agent-based approach to intelligent enterprise integration. In this approach, a set of agents with specialized expertise can be quickly assembled to help with the gathering of relevant information and knowledge, to cooperate with each other and with other parts of the production management system and humans to arrive at timely decisions in dealing with various enterprise scenarios. The proposed multi-agent system, including its architecture and implementation, are presented and demonstrated through an example integration scenario involving real planning and execution software systems.Item A Multi-Agent System for Enterprise Integration(1998-12-01) Peng, Y.; Finin, T.; Labrou, Y.; Chu, B.; Long, J.; Tolone, W. J.; Boughannam, A.The production management system used by most manufacturers today is comprised of disconnected planning and execution processes, and lacks the support for interoperability for enterprise wide integration. This situation often prevents the manufacturer from fully exploring market opportunities in a timely fashion. To address this problem, we propose an agent-based framework for intelligent enterprise integration. A set of agents with specialized expertise can be quickly assembled to help with the gathering of relevant information and knowledge, to cooperate with each other and with other management systems and human managers and analysts to arrive at timely decisions in dealing with various enterprise scenarios. The proposed multi-agent system, including its theoretical foundation, architecture, and implementation are presented. The work of this system is demonstrated through an integration scenario involving real management software systems.