Abstract
This work is a part of a wider-scope research concerned with the development and implementation of a multi-agent tool management system (MATMS) for automatic tool procurement. The design, functioning, and performance of diverse flexible tool management strategies integrated in the MATMS is illustrated here. The MATMS operates in the frame of a negotiation based multiple-supplier network where a turbine blade producer (customer) requires from external tool manufacturers (suppliers) the performance of dressing operations on worn-out cubic boron nitride grinding wheels for nickel base alloy turbine blade fabrication. The diverse FTMS paradigms, configured as domain-specific problem-solving functions operating within the MATMS intelligent agent holding the responsibility for optimum tool inventory sizing and control, have been tested by tool inventory management simulations and comparison with real industrial cases.
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References
Fox MS, Barbuceanu M, Teigen R (2000) Agent-oriented supply chain management. Int. J. Flex. Manuf. Syst. 12:165–188
Jang JSR (1993) ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cyber. 23(3):665–685
Jang JSR (1995) Neuro-fuzzy modelling and control. In: Proceedings of the IEEE 83:378–405
Teti R, D’Addona D (2003a) Agent-based multiple supplier tool management system. In: Prroceedings of the 36th CIRP Int. Sem. on Manuf. Syst. – ISMS 2003, Saarbrücken, 3–5 June, pp. 39–45
Teti R, D’Addona D (2003b) Grinding wheel management through neuro-fuzzy forecasting of dressing time. Ann. CIRP 52(1):407–410
Teti R, D’Addona D (2003c) Multiple supplier neuro-fuzzy reliable delivery forecasting for tool management in a supply network. In: Proceedings of the 6th AITEM Conf., Gaeta, 8–10 September
Teti R, D’Addona D (2004) Adaptive NF tool delivery forecasting for flexible tool management in a supply network. In: Proceedings of the 5th Int. Workshop on Emergent Synthesis – IWES ’04, Budapest, 24–25 May
Teti R, D’Addona D, Segreto T (2004) Flexible tool management in a multi-agent modelled supply network. In: Proceedings of the 37th CIRP Int. Sem. on Manuf. Syst. – ISMS, Budapest, 19–21 May, pp. 351–356
Sycara KP (1998) Multi-Agent Systems. AI Magazine, Summer, pp. 79–92
Van Hentenryck (1999) The OPL optimisation programming language. MIT, Boston
Yuan Y, Liang TP, Zhang JJ (2001) Using agent technology to support supply chain management: potentials and challenges. MG De Groote School of Business, Working Paper No. 453
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D’Addona, D., Teti, R. (2010). Diverse Risk/Cost Balancing Strategies for Flexible Tool Management in a Supply Network. In: Benyoucef, L., Grabot, B. (eds) Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84996-119-6_10
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DOI: https://doi.org/10.1007/978-1-84996-119-6_10
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