Abstract
Distributed production networks are considered organizational structures able to match agility and efficiency necessary to compete in the global market. Performances of such organization structures heavily depend on the ability of the network actors of coordinating their activities. This chapter concerns the low level of the production planning that is aim is to allocation the orders to the distributed plant. The orders assigned by the medium level have to be allocated to the plant able to manufacture the product. A this level the coordination among the plant is crucial activity to purse an high level of performance. In this context, three approaches for coordinating production planning activities within production networks are proposed. Moreover, the proposed approaches are modeled and designed by a Multi Agent Technology and a negotiation model is proposed. In order to test the functionality of the proposed agent based distributed architecture for distributed production planning, a proper simulation environment has been developed. Moreover, a benchmark model is proposed in order to evaluate the performances of the proposed approaches. The Multi Agent System and simulation environment can be utilized to learn the optimal coordination policy to adopt in distributed production planning problem.
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References
Alvarez, E.: Multi-plant production scheduling in SMEs. Robotics and Computer-Integrated Manufacturing 23, 608–613 (2007)
Amico, M., La Commare, U., Lo Nigro, G., Perrone, G., Renna, P.: Order Allocation strategies in distributed production planning environment. In: Proceedings of the V AITEM Conference, Bari, Italy, pp. 189–198 (2001)
Bhatnagar, R., Chandra, P.: Models for multi plant coordination. European Journal of Production Research 67, 141–160 (1993)
Brandolese, A., Brun, A., Portioli-Staudacher, A.: A multi-agent approach for the capacity allocation problem. International Journal of Production Economics 66, 269–285 (2000)
Cantamessa, M., Fichera, S., Grieco, A., La Commare, U., Perrone, G., Tolio, T.: Process and production planning in manufacturing enterprise networks. In: Proceedings of the 1st CIRP (UK) Seminar on Digital Enterprise Technology © 2002 School of Engineering, University of Durham (2002)
Dhaenens-Flipo, C., Finke, G.: An integrated model for industrial production-distribution problem. IIE Transactions 33, 705–715 (2001)
Ertogral, K., Wu, S.D.: Auction-theoretic coordination of production planning in the supply chain. IEE Transactions 32, 931–940 (2000)
Kanyalkar, A.P., Adil, G.K.: An integrated aggregate and detailed planning in a multi-site production environment using linear programming. International Journal of Production Research 43(20), 4431–4454 (2005)
Kutanoglu, E., Wu, S.D.: On combinatorial auction and Lagrangean relaxation for distributed resource scheduling. IEE Transactions 39(9), 813–826 (1999)
Kraus, S.: Negotiation and cooperation in multi-agent environments. Artificial Intelligence 94, 79–97 (1997)
Lin, J.T., Chen, Y.Y.: A multi-site supply network planning problem considering variable time buckets– A TFT-LCD industry case. Int. J. Adv. Manuf. Technol. 33, 1031–1044 (2007)
Lo Nigro, G., Noto La Diega, S., Perrone, G., Renna, P.: Coordination Policies to support decision making in distributed production planning. Robotics and Computer Integrated Manufacturing 19, 521–531 (2003)
Lo Nigro, G., La Commare, U., Perrrone, G., Renna, P.: Negotiation Strategies for Distributed Production Planning Problems. In: 12th International Working Seminar on Production Economics, Igls, Austria, February 2002, pp. 187–195 (2002)
Perrone, G., Renna, P., Cantamessa, M., Gualano, M., Bruccoleri, M., Lo Nigro, G.: An Agent Based Architecture for production planning and negotiation in catalogue based e-marketplace. In: 36th CIRP – International Seminar on Manufacturing Systems, Saarbruecken, Germany, June 03-05, 2003, pp. 47–54 (2003)
Raiffa: The Art and Science of Negotiation. Cambridge University Press, Cambridge (1982)
Tsiakis, P., Papageorgiou, L.G.: Optimal production allocation and distribution supply chain networks. Int. J. Production Economics 111, 468–483 (2008)
Timpe, C.H., Kallrath, J.: Optimal planning in large multi-site production networks. European Journal of Operational Research 126, 422–435 (2000)
Tharumarajah, A.: Survey of resource allocation methods for distributed manufacturing systems. Production Planning & Control 12(1), 58–68 (2001)
Wiendahl, H.-P., Lutz, S.: Production networks. Annals of CIRP 51(2), 5–22 (2002)
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Renna, P., Argoneto, P. (2009). Workload Assignment in Production Networks by Multi Agent Architecture. In: Hassanien, AE., Abraham, A., Vasilakos, A.V., Pedrycz, W. (eds) Foundations of Computational, Intelligence Volume 1. Studies in Computational Intelligence, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01082-8_10
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DOI: https://doi.org/10.1007/978-3-642-01082-8_10
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