Abstract
Under the pressure of global competition, cycle time reduction and increasing product complexity, enterprises have realized that internal improvements are certainly important but not sufficient. Company performances depend not only on internal activities but also on external resources from supply networks made up of customers, suppliers, and subcontractors. In the present paper, the conventional choice of suppliers involved in a supply network is reconsidered. The process proposed to support decisions in a context of choice is based on the exploitation of a Simulation of Extended Enterprises ‘SEE’ platform for the configuration of a multicriteria method (Analytic Hierarchy Process ‘AHP’) and the analysis of the choice of suppliers. This multicriteria method, restructured into two phases, is presented and the implementation process is described. The case study focuses on snowmobile assembly with 75 workstations in a multi-product assembly line, 420 supplied parts and 48 suppliers. Multiple simulation cases are presented and the obtained results are analysed.
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References
Slack, N., Chambers, S., Johnston, R.: Operations and process management: principles and practice for strategic impact, Pearson Education (2009)
Ounnar, F., Pujo, P.: Supplier evaluation process within a self-organized logistical network. Int. J. Logist. Manage 16(1), 159–172 (2005)
Leitão, P.: Agent-based distributed manufacturing control: A state-of-the-art survey. Eng. Appl. Artif. Intell. 22(7), 979–991 (2009)
Bilgen, B.: Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Syst. Appl. 37, 4488–4495 (2010)
Montreuil, B.: Production planning optimization modeling in demand and supply chains of high-value products. In: Logistics Systems: Design and Optimization. Kluwer Academic Publishers (2004)
Terzi, S., Cavalieri, S.: Simulation in the supply chain context: a survey. Comput. Ind. 53(1), 3–16 (2004)
Monostori, L., Vancza, J., Kumara, S.R.T.: Agent-based systems for manufacturing. CIRP Annals Manufact. Technol. 55(2), 697–720 (2006)
Jahangirian, M., Eldabi, T., Naseer, A., Stergioulas, L.K., Young, T.: Simulation in manufacturing and business: a review. Eur. J. Oper. Res. 203(1), 1–13 (2010)
Montreuil, B., Labarthe, O., Cloutier, C.: Modeling client profiles for order promising and delivery. Simul. Model. Pract. Theory 35, 1–25 (2013)
Vonderembse, M., Tracey, M., Tan, C.L., Bardi, E.J.: Current purchasing practices and JIT: some of effects on inbound logistics. Int. J. Phys. Distrib. Logist. Manag. 25(3), 33–48 (1995)
Cho, N.: Understanding supply network coordination in electronic supply network coordination. In: Mahdavi, I., Mohebbi, S., Cho, N. (eds.) Intelligent and Dynamic Environments: Modeling and Implementation. IGI Global, pp. 1–23 (2011)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw Hill, New York (1980)
Montreuil, B., Cloutier, C., Labarthe, O., Loubier, J.: Agent-oriented modeling of distributed supply chains. In: Proceedings of the International Conference on Information Systems, Logistics & Supply Chain (2006)
Montreuil, B., Cloutier, C., Labarthe, O., Loubier, J.: Holistic modelling, simulation and visualisation of demand and supply chains. Int. J. Bus. Perform. Supply Chain Model. 7(1), 53–70 (2015)
Montreuil, B.: Towards a physical internet: meeting the global logistics sustainability grand challenge. Logist. Res. 3(2–3), 71–87 (2011)
Cardin, O., Ounnar, F., Thomas, A., Trentesaux, D.: Future industrial systems: best practices of the intelligent manufacturing and services systems (IMS2) French research group. IEEE Trans. Ind. Inf. 13(2), 704–713 (2017)
Ounnar, F., Pujo, P.: Pull control for job shop: holonic manufacturing system approach using multicriteria decision-making. J. Intell. Manufact 23, 141–153 (2012)
Ounnar, F., Pujo, P., Hachicha, M., Dubromelle, Y.: Study of an intelligent and multicriteria scheduling service, using academic benchmarks. Int. J. Comput. Integr. Manuf. 29, 1166–1176 (2015)
Pujo, P., Ounnar, F., Power, D., Khader, S.: Wireless holon network for job shop isoarchic control. Comput. Ind 83, 12–27 (2016)
Pujo, P., Broissin, N., Ounnar, F.: PROSIS: an isoarchic structure for HMS control. Eng. Appl. Artif. Intell. 22(7), 1034–1045 (2009)
Dubromelle, Y., Ounnar, F., Pujo, P.: Service oriented architecture for holonic isoarchic and multicriteria control. In: Service Orientation in Holonic and Multi-Agent Manufacturing Control, Studies in Computational Intelligence, vol. 402. Springer (2012)
Labarthe, O., Espinasse, B., Ferrarini, A., Montreuil, B.: Toward a methodological framework for agent-based modelling and simulation of supply chains in a mass customization context. Simul. Model. Pract. Theory 15(2), 113–136 (2007)
Hakimi, D., Montreuil, B., Labarthe, O.: Supply Web Agent-Based Simulation Platform. In: Proceedings of the 3rd International Conference on Information Systems, Logistics and Supply Chain, Casablanca (2010)
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Ounnar, F., Labarthe, O., Pujo, P., Montreuil, B. (2018). Multicriteria Supplier Selection for Supply Chain Management. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_3
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DOI: https://doi.org/10.1007/978-3-319-73751-5_3
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