A Simulation System to Analyze Effects of Relocation of Machine Tools on Supply Chain Robustness
Hitoshi Komoto* and Nozomu Mishima**
*Advanced Manufacturing Research Institute, National Institute of Advanced Industrial Science and Technology, Namiki 1-2, Tsukuba, Ibaraki 305-8564, Japan
**Cooperative Major in Life Cycle Design Engineering, Graduate School of Engineering and Resource Science, Akita University, 1-1 Tegatagakuen-machi, Akita-shi, Akita 010-8502, Japan
Supply chains of modern complex systems need to keep up with the globalization of module and component suppliers to cope with resource restrictions, economic disparities, and rigorous environmental legislations. Robustness against variations in manufacturing tasks under undesirable situations is a crucial capability of global supply chains. Flexible and portable facilities can be shared among suppliers to increase supply chain robustness. This study proposes a system for modeling and simulating a supply chain in which portable machine tools are shared among the suppliers and relocated in order to adapt to machine tool breakdowns and manufacturing volume excesses. The system supports complex decision making in terms of the logistics of these machine tools with a view to decreasing the average completion time of manufacturing tasks without adding machine tools into the supply chain as a whole.
-  European Chemicals Agency, “Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH),” European Union Regulation, EC No 1907/2006, 2006.
-  A. Hugo and E. N. Pistikopoulos, “Environmentally conscious longrange planning and design of supply chain networks,” J. of Cleaner Production, Vol.13, pp. 1471-1491, 2005.
-  S.W.Wallace and T. M. Choi, “Robust supply chain management,” Int. J. of Production Economics, Vol.134, Issue2, p. 283, 2011.
-  G. Fandel, M. Stammen, “A general model for extended strategic supply chain management with emphasis on product life cycles including development and recycling,” Int. J. of Production Economics, Vol.89, Issue3, pp. 293-308, 2004.
-  H. Komoto, T. Tomiyama, S. Silvester, and H. Brezet, “Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation,” Int. J. of Production Economics, Vol.134, Issue2, pp. 447-457, 2011.
-  J. R. Crookall, “Planning and Simulation of FMS,” Annals of the CIRP, CIRP, Vol.34, No.2, pp. 577-584, 1985.
-  F. Jovane, Y. Koren, and C. R. Boer, “Present and Future of Flexible Automation: Towards New Paradigms,” Annals of the CIRP, CIRP, Vol.52, No.2, pp. 543-560, 2003.
-  H.Wakai, S. Kado, and T. Sata, “KOSMO – a Simulator for Flexible Manufacturing Systems,” Annals of the CIRP, CIRP, Vol.35, No.1, pp. 347-350, 1986.
-  DTF Research Consortium, 2008, Technological Foundation of Nagano prefecture, Suwa Techno Lakeside Regional Center (http://www.dtf.ne.jp/en/).
-  Y. Okazaki, N. Mishima, and K. Ashida, “Microfactory – Concept, History and Developments –,” J. of Manufacturing Science and Engineering, Trans. ASME, Vol.126, pp. 837-844, 2004.
-  T. Kurita and M. Hattori, “Development of new-concept desk top size machine tool,” Int. J. of Machine Tools and Manufacture, Vol.45, Issues7-8, pp. 959-965, 2005.
-  H. Sawada, N. Matsuki, H. Tokunaga, and Y. Furukawa, “A Manufacturing Software Development Framework MZ Platform and its Industrial Applications,” Proc. of CAID&CD’2005, pp. 419-423, 2005.
-  H. Komoto and T. Tomiyama, “Integration of a service CAD and a Life cycle simulator,” Annals of the CIRP, CIRP, Vol.57, No.1, pp. 9-12, 2008.
-  Y. Umeda, A. Nonomura, and T. Tomiyama, “Study on life-cycle design for the post mass production paradigm,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol.14, pp. 149-61, 2000.
-  H. Meier, R. Roy, and G. Seeliger, “Industrial Product-Service Systems – IPS2.” Annals of the CIRP, Vol.59, No.2, pp. 607-627, 2010.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.