A novel approach for multi-agent-based Intelligent Manufacturing System

Information Sciences

Volumn 179, Issue 18, 2009, Pages 3079-3090

  Guo, Qinglin ^a   Zhang, Ming ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Functional agent; Intelligent Manufacturing; Model; Multi agent; Ontology; Scheduling optimization

Indexed keywords

AS DISTRIBUTION; DEVELOPMENT CYCLE; DISTRIBUTED ARTIFICIAL INTELLIGENCE; ENERGY EFFICIENT; FUNCTIONAL AGENT; FUNCTIONAL AGENTS; ILLUSTRATIVE EXAMPLES; INTELLIGENT MANUFACTURING; INTELLIGENT MANUFACTURING SYSTEM; MAKING DECISION; MULTI-AGENT; MULTI-AGENT TECHNOLOGIES; NEGOTIATION PROCESS; NEW PRODUCT; PROPOSED ARCHITECTURES; PROTOTYPE SYSTEM; SCHEDULING OPTIMIZATION; SCHEDULING SYSTEMS; TRADITIONAL ARCHITECTURE;

AUTONOMOUS AGENTS; ENERGY EFFICIENCY; INTELLIGENT AGENTS; MANUFACTURE; NETWORK ARCHITECTURE; ONTOLOGY; OPTIMIZATION; SCHEDULING ALGORITHMS;

MULTI AGENT SYSTEMS;

EID: 67649794787     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.05.009     Document Type: Article

References (39)

1. Baek J.W., and Yeom H.Y. A timed mobile agent planning approach for distributed information retrieval in dynamic network environments. Inf. Sci. 176 (2006) 3347-3378
2. Baker A.D. A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: dispatching, scheduling and pull. J. Manuf. Syst. 17 (1998) 297-320
3. Butler J., and Ohtsubo H. ADDYMS: architecture for distributed dynamic manufacturing scheduling. In: Famili A., Nau D.S., and Kim S.H. (Eds). Artificial Intelligence Applications in Manufacturing (2002), AAAI Press/MIT press, Menlo Park, CA 199-213
4. Chen J.J., and Su S.W. AgentGateway: a communication tool for multi-agent systems. Inf. Sci. 150 (2003) 153-164
5. Chen S.H., and Liao C.C. Agent-based computational modeling of the stock price-volume relation. Inf. Sci. 170 (2005) 75-100
6. D. Dornfeld, P.K. Wright, F.C. Wang, P. Sheng, J. Stori, V. Sundararajan, N. Krishnan, C.H. Chu, Multi-agent process planning for a networked machine service, Tech. Paper-Soc. Manuf. Eng., 1999, pp. 99-175.
7. Editorial, Computationally intelligent agents in economics and finance, Inf. Sci. 177 (2007) 1153-1168.
8. Editorial, Soft computing meets agents, Inf. Sci. 176 (2006) 1101-1102.
9. Grelle C., Ippolito L., Loia V., and Siano P. Agent-based architecture for designing hybrid control systems. Inf. Sci. 176 (2006) 1103-1130
10. Gu P., Balasubramanian S., and Norrie D.H. Bidding-based process planning scheduling in a multi-agent system. Comput. Ind. Eng. 42 (2007) 560-573
11. Han Y., Xin B., and Dan C. Workflow management and resource discovery for an intelligent grid. Parallel Comput. 31 (2005) 797-811
12. Huang C.Y., Cheng K., and Holt A. An integrated manufacturing network management framework by using mobile agent. Int. J. Adv. Manuf. Technol. 32 (2007) 822-833
13. B. Ilaria, C. Giuseppe, S. Giuseppe, Development of a multi-agent model for production scheduling in innovative flexible manufacturing system, Manufacturing Systems and Technologies for the New Frontier, The 41st CIRP Conference on Manufacturing Systems, 2008, pp. 279-283.
14. Indira M. Fuzzy-based methodology for multi-objective scheduling in a robot-centered flexible manufacturing cell. J. Intell. Manuf. 19 (2006) 93-97
15. Kadar B., Monostori L., and Szelke E. An object-oriented framework for developing distributed manufacturing architectures. J. Intell. Manuf. 9 (1998) 107-112
16. Kim K.H. A negotiation-based scheduling for items with flexible process plans. Comput. Ind. Eng. 32 (1997) 477-496
17. Kong S.H., Noh S.D., and Han Y.G. An agent-based collaborative assembly process planning system. Int. J. Adv. Manuf. Technol. 28 (2006) 176-183
18. Lee C.S., Jiang C.C., and Hsieh T.C. A genetic fuzzy agent using ontology model for meeting scheduling system. Inf. Sci. 176 (2006) 1131-1155
19. M.K. Lim, Z. Zhang, An integrated agent-based approach for responsive control of manufacturing resources, The 27th International Conference on Computers and Industrial Engineering, vol. 38, 2000, p. 55, ISBN:7-900043-38-1/TP.
20. M.K. Lim, Z. Zhang, Integrated manufacturing systems control using a multi-agent system, in: Proceedings of 33rd International MATADOR Conference, 2000, pp. 9-14, ISBN:1-85233-323-5.
21. Lopez-Juarez a I., Corona-Castuera J., Pena-Cabrera M., and Ordaz-Hernandez K. On the design of intelligent robotic agents for assembly. Inf. Sci. 171 (2005) 377-402
22. Lou P., Zhou Z.D., Chen Y.P., and Ai W. Study on multi-agent-based agile supply chain management. Int. J. Adv. Manuf. Technol. 23 (2004) 197-203
23. Ma T.J., and Nakamori Y. An agent-based approach for predictions based on multi-dimensional complex data. Inf. Sci. 176 (2006) 1156-1174
24. Manish K., and Sunil R. Integration of process planning and scheduling in a job shop environment. Int. J. Adv. Manuf. Technol. 28 (2006) 109-116
25. Medani O., and Ratchev S.M. A STEP AP224 agent-based early manufacturability assessment environment using XML. Int. J. Adv. Manuf. Technol. 27 (2006) 854-864
26. Meo P.D., Garro A., Terracina G., and Ursino D. Personalizing learning programs with X-Learn, an XML-based, "user-device" adaptive multi-agent system. Inf. Sci. 177 (2007) 1729-1770
27. Preux P., Delepoulle S., and Darcheville J.C. A generic architecture for adaptive agents based on reinforcement learning. Inf. Sci. 161 (2004) 37-55
28. Qiao B., and Zhu J.Y. Agent-based intelligent manufacturing systems: a state-of-the-art survey. J. Nanjing Univ. Aeronaut. Astronaut. 38 (2001) 3-13
29. Rahimi a S., Bjursell J., Paprzycki M., Cobb M., and Ali D. Performance evaluation of SDIAGENT,a multi-agent system for distributed fuzzy geospatial data conflation. Inf. Sci. 176 (2006) 1175-1189
30. Sanjay K.S., and Young J.S. Bidding-based multi-agent system for integrated process planning and scheduling: a data-mining and hybrid tabu-SA algorithm-oriented approach. Int. J. Adv. Manuf. Technol. 38 (2008) 163-175
31. Selamat A., and Selamat M.H. Analysis on the performance of mobile agents for query retrieval. Inf. Sci. 172 (2005) 281-307
32. Seow K.T., and Sim K.M. Collaborative assignment using belief-desire-intention agent modeling and negotiation with speedup strategies. Inf. Sci. 178 (2008) 1110-1132
33. Sergio I., Eduardo M., and Arantza I. Using cooperative mobile agents to monitor distributed and dynamic environments. Inf. Sci. 178 (2008) 2105-2127
34. Sharad C.S., Alok K.C., Surendra K., and Tiwari M.K. Development of an intelligent agent-based AGV controller for a flexible manufacturing system. Int. J. Adv. Manuf. Technol. 26 (2007) 90-92
35. Sluga A., Butala P., and Bervar G. A multi-agent approach to process planning and fabrication in distributed manufacturing. Comput. Ind. Eng. 35 (1998) 455-458
36. Sousa P., and Ramos C. A dynamic scheduling holon for manufacturing orders. J. Int. Manuf. (1998) 107-112
37. T. Teredesai, V.C. Ramesh, Multi-agent mixed initiative system for real-time scheduling, in: Proceedings of the IEEE International Conference on System Man Cybern, 1998, pp. 439-444.
38. Y.H. Yan, J. Yen, T.X. Bui, A multi-agent based negotiation support system for distributed transmission cost allocation, in: Proceedings of the 33rd Hawaii International Conference on System Sciences, 2000, pp. 1-11.
39. Zhou Z.D., and Wang H.H. A multi-agent-based agile scheduling model for a virtual manufacturing environment. Int. J. Adv. Manuf. Technol. 21 (2003) 980-984