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Innovative Approaches for Global Production Networks

Global Footprint Design: An Evolutionary Approach

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Robust Manufacturing Control

Part of the book series: Lecture Notes in Production Engineering ((LNPE))

Abstract

The continuous growth of production networks has led to a threefold complexity issue for multinational companies. Firstly, it lies in the tremendous number of design options taking into regard all product groups and their production processes which need to be allocated to the amount of existing or new production sites. The second complexity issue is characterized by a short amount of time available in companies for highly important decisions. The third complexity problem lies in the complexity evaluation within the production network taking into account product, manufacturing and organisational structures. These three challenges are addressed within the scope of an approach which avails itself of a digital tool using interactive computing methods. While the complexity of the solution space is handled through a mathematical optimization, visual components help to understand and analyze the given solution through interactive computing. The identification of complexity drivers within production networks constitutes the final challenge.

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References

  1. Schuh, G., Gottschalk, S., Wesch, C.: Potentials in computer-aided factory design—negotiation-based top-down-bottom-up approach. In: De Silva, A.K.M., Harrisson, D.K. (eds.) Proceedings of the 20th International Conference on Computer-Aided Production Engineering; Cape, Glasgow, 6–8 June 2007

    Google Scholar 

  2. Capgemini: Manufacturing in 2020—Envisioning a Future Characterised by Increased Internationalisation, Collaboration and Complexity, joint study conducted by Capgemini and IDG Global Solutions (2008)

    Google Scholar 

  3. Abele, E., et al.: Global Production—A Handbook for Strategy and Implementation. Springer, Heidelberg (2008)

    Google Scholar 

  4. Schuh, G., Nöcker, J., Varandani, R., Schwartze, J., Schilling, R.: Dealing with the need for flexibility and economies of scope in global production network design. In: 1st WGP Congress, Berlin (2011)

    Google Scholar 

  5. Ariely, D.: Predictably Irrational. HarperCollins, New York (2009)

    Google Scholar 

  6. Hübner, R.: Strategic Supply Chain Management in Process Industries: An Application to Speciality Chemicals Production Network Design. Springer, Heidelberg (2007)

    Google Scholar 

  7. Iyengar, S.: How to make choosing easier. http://www.ted.com/talks/sheena_iyengar_choosing_what_to_choose.html. Accessed 13 Mar 2012

  8. Ariely, D.: Dan Ariely asks, are we in control of our own decisions, EG Conference, Monterey, Dec 2008, http://www.ted.com/talks/lang/en/dan_ariely_asks_are_we_in_control_of_our_own_decisions.html, (2009)

  9. WZL. Study on management of value-added chains, (2011)

    Google Scholar 

  10. Vidal, C.J., Goetschalckx, M.: Strategic production-distribution models: A critical review with emphasis on global supply chain models. Eur. J. Oper. Res. 98(1), 1–18 (1997)

    Article  MATH  Google Scholar 

  11. Geoffrion, A.M., Graves, G.W.: Multi-commodity distribution system design by Benders decomposition. Manage. Sci. 20(5), 822–844 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  12. Geoffrion, A.M., Graves, G.W., Lee, S.J.: Strategic Distribution System Planning: A Status Report, Studies in Operations Management, pp. 179–204. Elsevier, Amsterdam (1978)

    Google Scholar 

  13. Cohen, M.A., Lee, H.L.: Strategic analysis of integrated production-distribution systems: Models and methods. Oper. Res. 36(2), 216–228 (1988)

    Article  Google Scholar 

  14. Hodder, J.E., Dincer, M.C.: A multifactor model for international plant location and financing under uncertainty. Comput. Oper. Res. 13(5), 601–609 (1986)

    Article  MATH  Google Scholar 

  15. Brown, G.G., Olson, M.P.: Dynamic factorization in large-scale optimization. Math. Program. 64, 17–51 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  16. Arntzen, B.C., Brown, G.G., Harrison, T.P., Trafton, L.L.: Global supply chain management at digital equipment corporation. Interfaces 25(1), 69–93 (1995)

    Article  Google Scholar 

  17. Goetschalckx, M., Nemhanser, G., Cole, M.H., Wei, R., Dogan, K., Zang, X.: Computer aided design of industrial logistic systems. In: Proceedings of the Third Triennial Symposium on Transportation Analysis (TRISTAN III), Capri, Italy, pp. 151–178 (1994)

    Google Scholar 

  18. Goetschalckx, M., Cole, M.H., Dogan, K., Wei, R.: A generic model for the strategic design of production-distribution systems, version 1.0. Georgia Institute of Technology; submitted for publication, (1995)

    Google Scholar 

  19. Hillier, F., Lieberman, G.: Introduction to Operations Research. McGraw Hill, New York (2005)

    Google Scholar 

  20. Melo, M., Nickel, S., Saldanha-da-Gama, F.: Facility location and supply chain management—a review. Eur. J. Oper. Res. 196(2), 401–412 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  21. Pirkul, H., Jayaraman, A.: Multi-commodity, multi-plant, capacitated facility location problem: Formulation and efficient heuristic solution. Comput. Oper. Res. 25, 869–878 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  22. Canel, C., Khumawala, B.M., Law, J., Loh, A.: An algorithm for the capacitated, multi-commodity multi-period facility location problem. Comput. Oper. Res. 28, 411–427 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  23. Keskin, B.B., Üster, H.: Meta-heuristic approaches with memory and evolution for a multi-product production/distribution system design problem. Eur. J. Oper. Res. 182(2), 663–682 (2007)

    Article  MATH  Google Scholar 

  24. Glover, F.: Heuristics for integer programming using surrogate constraints. Decis. Sci. 8, 156–166 (1977)

    Article  Google Scholar 

  25. ElMaraghy, H.A., Kuzgunkaya, O., Urbanic, R.J.: Manufacturing systems configuration complexity, intelligent manufacturing systems (IMS) centre. CIRP Ann. Manuf. Technol. 54(1), 445–450 (2005)

    Article  Google Scholar 

  26. Papakostas, N., Efthymiou, K., Mourtzis, D., Chryssolouris, G.: Modelling the complexity of manufacturing systems using nonlinear dynamics approaches. CIRP Ann. Manuf. Technol. 58, 437–440 (2009)

    Article  Google Scholar 

  27. Vrabic, R., Butala, P.: Assessing operational complexity of manufacturing systems based on statistical complexity. Int. J. Prod. Res. 50(14), 1–13 (2011)

    Google Scholar 

  28. Vrabic, R., Butala, P.: Computational mechanics approach to managing complexity in manufacturing systems. CIRP Ann. Manuf. Technol. 60, 503–506 (2011)

    Article  Google Scholar 

  29. Zhang, Z.: Modeling complexity of cellular manufacturing systems. Appl. Math. Model. 35(9), 4189–4195 (2011)

    Article  Google Scholar 

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Correspondence to Günther Schuh .

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Schuh, G., Potente, T., Kupke, D., Varandani, R. (2013). Innovative Approaches for Global Production Networks. In: Windt, K. (eds) Robust Manufacturing Control. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30749-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-30749-2_28

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