Abstract
Due to rapid changes of markets and pressures of competitions, industries are adopting their production ways to support diversity of customer’s needs and increase of new product developments. This paper deals with development of an agent-based architecture of dynamic systems for process planning in the manufacturing systems. In consideration of alternative manufacturing processes and machine tools, the process plans and the schedules of the manufacturing resources are generated incrementally and dynamically. A previously proposed negotiation protocol is customized and improved to generate suitable process plans for the target products real-timely and dynamically, based on the alternative manufacturing processes. The alternative manufacturing processes are presented by the process plan networks and the suitable process plans are searched and generated to cope with both the dynamic status and disturbances of the manufacturing systems. We initiatively combine the heuristic search algorithms of the process plan networks with the negotiation protocols, in order to generate suitable process plans.
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References
Devireddy C.R., Ghosh K. (1999) Feature-based modeling and neural network-based CAPP for integrated manufacturing. International Journal of Computer Integrated Manufacturing 12(1): 61–74. doi:10.1080/095119299130470
Lee K.Y., Jung M.Y. (1995) Flexible process sequencing using petri net theory. Computers & Industrial Engineering 28(2): 279–290. doi:10.1016/0360-8352(94)00191-O
Morad N., Zalzala A. (1999) Genetic algorithm in integrated process planning and scheduling. Journal of Intelligent Manufacturing 107: 169–179. doi:10.1023/A:1008976720878
Monostori L., Viharos Z.J., Markos S. (2000) Satisfying various requirements in different levels and stages of machining using one general ANN-based process model. Journal of Materials Processing Technology 107: 228–235. doi:10.1016/S0924-0136(00)00698-1
Nakashima T. (2006) Innovation of preparation for production process of new car by digital manufacturing. JSME Conference 06–19; 1–3
Nassehi A., Newman S.T., Allen R.D. (2006) The application of multi-agent systems for STEP-NC computer process planning of prismatic components. International Journal of Machine Tools & Manufacture 46(5): 559–574. doi:10.1016/j.ijmachtools.2005.06.005
Shen W., Ghenniwa H. (2003) Editorial of the special issue on agent based manufacturing process planning and scheduling. Journal of Intelligent Manufacturing 14(5): 427–428. doi:10.1023/A:1025764207528
Shih W., Srihari K. (1995) Distributed artificial intelligence in manufacturing systems control. Computers & Industrial Engineering 29(1–4): 199–203. doi:10.1016/0360-8352(95)00071-8
Sluga A., Butala P., Bervar G. (1998) A multi-agent approach to process planning and fabrication in distributed manufacturing. Computers & Industrial Engineering 35(3–4): 455–460. doi:10.1016/S0360-8352(98)00132-6
Smith R.G. (1980) The contract net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on Computers C- 29(12): 1104–1113. doi:10.1109/TC.1980.1675516
Sormaz D.N., Khoshneviz B. (1997) Process planning knowledge representation using an object-oriented data model. International Journal of Computer Integrated Manufacturing 10(1–4): 92–104. doi:10.1080/095119297131219
Stori, J. A., & Wright, P. K. (1996). A knowledge-based system for manufacturing operation planning in feature based, open-architecture manufacturing. Presented at the ASME Design Technical Conf., Irvine, CA.
Sugimura N., Shrestha R., Takemoto T. (2005) A study on integration of process planning and scheduling for holonic manufacturing. CIRP-Journal of Manufacturing Systems 6(34): 323–329
Sugimura N., Tanaka S., Tanaka T. (1999) A study on an integrated process planning and scheduling system based on the shape generation functions. Manufacturing Systems 29(2): 155–159
Tehrani H., Sugimura N., Tanimizu Y., Iwamura K. (2007) A search algorithm for generating alternative process plans in flexible manufacturing system. Journal of Advanced Mechanical Design, System, and Manufacturing 1(5): 706–716. doi:10.1299/jamdsm.1.706
Tseng Y.J., Joshi B. (1994) Recognizing multiple interpretations of interacting machining features. Computer Aided Design 26(9): 667–688. doi:10.1016/0010-4485(94)90018-3
Tu Y., Chu X., Yang W. (2000) Computer-aided process planning in virtual one-of-a-kind production. Computers in Industry 41: 99–110. doi:10.1016/S0166-3615(99)00006-8
Vosniakos G.C., Davis B.J. (1993) Knowledge-based selection and sequencing of hole-making operations for prismatic parts. International Journal of Advanced Manufacturing Technology 8: 9–16. doi:10.1007/BF01756631
Wang L., Norrie D.H. (2001) Process planning and control in a holonic manufacturing environment. J. Appl. Syst. Stud 2(1): 106–126
Wang L., Shen W. (2003) DPP: An agent-based approach for distributed process planning. Journal of Intelligent Manufacturing 14(5): 429–440. doi:10.1023/A:1025797124367
Zhang Y., Feng S.C., Wang X., Tian W., Wu R. (1999) Object oriented manufacturing resource modeling for adaptive process planning. International Journal of Production Research 37(18): 4179–4195. doi:10.1080/002075499189727
Zhang F., Zhang Y.F., Nee A.Y.C. (1997) Using genetic algorithms in process planning for job shop machining. IEEE Transactions on Evolutionary Computation 1(4): 278–289. doi:10.1109/4235.687888
Zhao F.L., Wu P.S.Y. (1999) A cooperative framework for process planning. International Journal of Computer Integrated Manufacturing 12(2): 168–178. doi:10.1080/095119299130407
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Tehrani Nik Nejad, H., Sugimura, N., Iwamura, K. et al. Multi agent architecture for dynamic incremental process planning in the flexible manufacturing system. J Intell Manuf 21, 487–499 (2010). https://doi.org/10.1007/s10845-008-0206-1
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DOI: https://doi.org/10.1007/s10845-008-0206-1