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Abstract: A major challenge for today's manufacturing organizations is how to respond agilely and cost-effectively to dynamic fluctuations of demand patterns across product mix and increasing rates of new products introduction. As traditional process planning and production scheduling operate independently for process plans and production schedules generation respectively, production schedules generation processes become inflexible and is restricted by the pregenerated process plan. In response to... (Update)
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BibTeX entry: (Update)
@misc{ goh-multiagent,
author = "Wan Tsin Goh and Zhengwen Zhang",
title = "Multi-Agent System for Dynamic Production Scheduling and Optimization",
url = "citeseer.ist.psu.edu/549882.html" }
Citations (may not include all citations):70 Multi-Agent Systems: An Introduction to Distributed Artifici.. (context) - Ferber - 1999
21 Applications of Distributed Artificial Intelligence in Indus.. - Parunak - 1994
21 AARIA Agent Architecture: An example of Requirements-Driven .. - Parunak, Baker et al. - 1997
10 Adaptive Back-Pressure Congestion Control Based on Local Inf.. (context) - Tassiulas - 1995
6 An Agent-Based Approach for Dynamic Manufacturing Scheduling - Shen, Norrie - 1998
1 Multi-Agent Routing Control in Heterarchical Manufacturing S.. (context) - Maione, Naso - 1999
1 Evolutionary Adaptation of Dispatching Agents in Heterarchic.. (context) - Maione, Naso - 2001
1 Pheromone Based Emergent Shop Floor Control System for Flexi.. (context) - Peeters, Van Brussel et al. - 1999
1 Negotiation-Based Manufacturing Control in Holonic Manufactu.. (context) - Bochmann, Valckenaers et al. - 2000
1 An Intelligent and Adaptive Modelling and Configuration Appr.. (context) - Goh, Zhang - 2002
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