Manufacturing organizations have been attempting to improve the operation of supply networks through efficient supply chain management. Dynamic manufacturing networks (DMNs) constitute chains of diverse partners, whose operation and interaction may change in a rapid and often not predictable way. While the existing supply chain models are quite static and examine transportation modes, product changeover and production facility options with fixed suppliers and over a long period of time, the DMNs address operations and risks on a daily basis. In this paper, a novel decision-making approach is proposed for supporting the process of configuring a DMN from a holistic perspective, taking into account production, transportation and time constraints as well as multiple criteria such as time and cost.
Supply chain management Scheduling Production planning Logistics Network design
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The work in this paper has been partially supported by the FP7 Integrated Project “IMAGINE—Innovative end-to-end Management of Dynamic Manufacturing Networks,” funded by the CEU.
Chryssolouris G (2006) Manufacturing systems—theory and practice. Springer, New YorkGoogle Scholar
Permenter K, Anand S (2011) State of cross channel retail supply chain execution. Aberdeen Group, BostonGoogle Scholar
Chryssolouris G, Papakostas N, Mavrikios D (2008) A perspective on manufacturing strategy: produce more with less. CIRP J Manuf Sci Technol 1:45–52CrossRefGoogle Scholar
Scholz-Reiter B, Morosini Frazzon E, Makuschewitz T (2010) Integrating manufacturing and logistic systems along global supply chains. CIRP J Manuf Sci Technol 2:216–223CrossRefGoogle Scholar
Viswanadham N, Gaonkar RS (2003) Partners selection and synchronized planning in dynamic manufacturing networks. IEEE Transact Robot Autom 19:117–130CrossRefGoogle Scholar
Speranza MG, Ukovich W (1994) Minimizing transportation and inventory costs for several products on a single link. Oper Res 42:879–894MATHCrossRefGoogle Scholar