Research Progress on Coordination Method for Intelligent Manufacturing System

Good coordination mechanism will play a crucial role in improving the agility, adaptability and robustness of manufacturing systems in dynamically changing manufacturing systems environment. Based on the significance of co- ordination mechanism for intelligent manufacturing system, the research status between foreign and domestic study progresses on the coordination mechanism and method (such as coordination based on Lagrange Relaxation method, co- ordination based on contract net protocol, coordination based on Petri Net, coordination based on biological hor- mone and pheromone, and so on) is given, some existent problems for coordination mechanism in existent research methods presently are pointed out. Finally, the future research trends of the coordination mechanism and methods for intelligent manufacturing system are presented.

[1]  Z. B. Jiang,et al.  Multiple-objective scheduling and real-time dispatching for the semiconductor manufacturing system , 2009, Comput. Oper. Res..

[2]  Dae-Won Kim,et al.  A contract net based intelligent agent system for solving the reactive hoist scheduling problem , 2006, Expert Syst. Appl..

[3]  Shunji Tanaka,et al.  A branch-and-bound algorithm with Lagrangian relaxation to minimize total tardiness on identical parallel machines , 2008 .

[4]  Kanji Ueda,et al.  An emergent modelling method for dynamic scheduling , 1998, J. Intell. Manuf..

[5]  Paulo Leitão,et al.  ADACOR: A holonic architecture for agile and adaptive manufacturing control , 2006, Comput. Ind..

[6]  Appa Iyer Sivakumar,et al.  Optimization of due-date objectives in scheduling semiconductor batch manufacturing , 2006 .

[7]  Fu-Shiung Hsieh,et al.  Robustness analysis of holonic assembly/disassembly processes with Petri nets , 2008, Autom..

[8]  W. Xiang,et al.  Ant colony intelligence in multi-agent dynamic manufacturing scheduling , 2008, Eng. Appl. Artif. Intell..

[9]  Alessandro Giua,et al.  First-order hybrid Petri nets. An application to distributed manufacturing systems ☆ , 2008 .

[10]  Hendrik Van Brussel,et al.  Pheromone based emergent shop floor control system for flexible flow shops , 1999, Artif. Intell. Eng..

[11]  Hendrik Van Brussel,et al.  MAS coordination and control based on stigmergy , 2007, Comput. Ind..

[12]  Sanja Petrovic,et al.  Inter-agent cooperation and communication for agent-based robust dynamic scheduling in steel production , 2004, Advanced Engineering Informatics.

[13]  Hendrik Van Brussel,et al.  Emergent short-term forecasting through ant colony engineering in coordination and control systems , 2006, Adv. Eng. Informatics.

[14]  Randall Davis,et al.  Negotiation as a Metaphor for Distributed Problem Solving , 1988, Artificial Intelligence.

[15]  Xin Luo,et al.  Stigmergic cooperation mechanism for shop floor control system , 2005 .

[16]  Toru Kamada,et al.  AMADEUS: a mobile, autonomous decentralized utility system for indoor transportation , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[17]  Peter B. Luh,et al.  Holonic manufacturing scheduling: architecture, cooperation mechanism and implementation , 1998 .

[18]  Rachid Alami,et al.  M+: a scheme for multi-robot cooperation through negotiated task allocation and achievement , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[19]  Fu-Shiung Hsieh,et al.  Developing cooperation mechanism for multi-agent systems with Petri nets , 2009, Eng. Appl. Artif. Intell..

[20]  Toly Chen.  A hybrid fuzzy-neural approach to job completion time prediction in a semiconductor fabrication factory , 2008, Neurocomputing.

[21]  郑力,et al.  Improved Multi-Agent System for the Vehicle Routing Problem with Time Windows , 2009 .

[22]  H. Van Dyke Parunak,et al.  Synthetic Pheromone Mechanisms for Coordination of Unmanned Vehicles , 2002 .

[23]  Christoph Schneeweiss,et al.  Hierarchical coordination mechanisms within the supply chain , 2004, Eur. J. Oper. Res..

[24]  Rainer Kolisch,et al.  Integration of assembly and fabrication for make-to-order production , 2000 .

[25]  Krishna R. Pattipati,et al.  Schedule generation and reconfiguration for parallel machines , 1990, IEEE Trans. Robotics Autom..

[26]  Peter B. Luh,et al.  Holonic manufacturing scheduling: architecture, cooperation mechanism, and implementation , 1997, Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[27]  Samir Aknine,et al.  An Extended Multi-Agent Negotiation Protocol , 2004, Autonomous Agents and Multi-Agent Systems.

[28]  Song Huang,et al.  A TCPN based approach to model the coordination in virtual manufacturing organizations , 2004, Comput. Ind. Eng..

[29]  Nobutada Fujii,et al.  Modeling Biological Manufacturing Systems with Bounded-Rational Agents , 2006 .

[30]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[31]  Miran Brezocnik,et al.  Emergence of intelligence in next-generation manufacturing systems , 2003 .

[32]  Randall Davis,et al.  Frameworks for Cooperation in Distributed Problem Solving , 1988, IEEE Transactions on Systems, Man, and Cybernetics.

[33]  L. Thomas.  The Lives of a Cell: Notes of a Biology Watcher , 1974 .

[34]  Shinichi Honiden,et al.  Performance of pheromone model for predicting traffic congestion , 2006, AAMAS '06.

[35]  Hendrik Van Brussel,et al.  Emergent Forecasting Using a Stigmergy Approach in Manufacturing Coordination and Control , 2004, Engineering Self-Organising Systems.

[36]  Damien Trentesaux,et al.  A stigmergic approach for dynamic routing of active products in FMS , 2009, Comput. Ind..

[37]  Jean-Marie Jacquet,et al.  On the expressiveness of coordination via shared dataspaces , 2003, Sci. Comput. Program..

[38]  Yuichiro Anzai,et al.  LEMMING: A learning system for multi-robot environments , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[39]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[40]  Safiye Turgay,et al.  Agent-based FMS control , 2009 .

[41]  Cristiano Castelfranchi,et al.  Trace Signals: The Meanings of Stigmergy , 2006, E4MAS.

[42]  Hendrik Van Brussel,et al.  Multi-agent coordination and control using stigmergy , 2004, Comput. Ind..