Definition

A dynamic manufacturing network (DMN) is a coalition, either permanent or temporal, comprising production systems of geographically dispersed small and medium enterprises and/or original equipment manufacturers that collaborate in a shared value-chain to conduct joint manufacturing.[1][2]

The dynamic manufacturing networks are an approach that helps to manage risks and increase benefits in the manufacturing sector. The DMNs are a proposed solution to increase the efficiency and reduce the time needed to design and operate a new manufacturing network, or to reconfigure an existing one.[3]

Applications

Manufacturing networks have become increasingly common in applied research on manufacturing, since several manufacturing enterprises have shown interest in creating such networks and taking advantage of them both for collaborative product development[4] and for supply chain optimization.[5]

During the last decade,the effort is mainly focused on the dynamic management of the manufacturing networks, as proven by several studies published by Accenture,[6] MIT [7] and the University of St. Gallen [8]

References

  1. Papakostas, N. et al. (2012). On the configuration and planning of dynamic manufacturing networks, Logistics Research Journal, ISSN 1865-035X, September 2012
  2. IMAGINE Project: Innovative End-to-end Management of Dynamic Manufacturing Networks. Description of Work www.imagine-futurefactory.eu
  3. Nikolaos Papakostas, Konstantinos Georgoulias, Spyridon Koukas, George Chryssolouris. Organisation and operation of dynamic manufacturing networks, International Journal of Computer Integrated Manufacturing , Volume 28, 2015 - Issue 8 ,Received 29 Oct 2012, Accepted 31 May 2014, Published online: 26 Jun 2014,
  4. IndustryWeek (2009). Product development assistance from manufacturing networks
  5. Deflorin, P, Scherrer-Rathje, M, Dietl, H. (2009). The competitive advantage of the lead factory concept in geographically distributed R&D and production networks. European Operations Management Association (EUROMA). Göteborg, Sweden
  6. Accenture (2012). Developing Dynamic and Efficient Operations for Profitable Growth - Research Findings from North American Manufacturers
  7. Williams, G.P. (2011). Dynamic order allocation for make-to-order manufacturing networks: an industrial case study of optimization under uncertainty, Massachusetts Institute of Technology, 2011
  8. "University of St.Gallen (2012). Global Manufacturing Networks". Archived from the original on 2013-10-08. Retrieved 2012-10-08.
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