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A Data-Driven Approach for Option-Specific Order Freeze Points in Mass-Customized Production

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Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems (CARV 2021, MCPC 2021)

Abstract

Customer satisfaction is a key factor to ensure long-term business success. Therefore, automotive manufacturers offer various options to individualize a car. Furthermore, customers and dealers are allowed to change their configuration until the vehicles are scheduled for production. This point is called order freeze. While vehicle specifications remain nearly unchanged in a build-to-order fulfillment strategy, this is not the case in build-to-stock. Mass-customized products with billions of possible car configurations, changing customer demands, or a dynamic environment are some of the challenges that confront the manufacturers in the planning and ordering processes. In this paper, the concept of multiple option-specific order freeze points is developed, which allows customers and dealers to change the configuration specifications at an even later point. For this purpose, the planning process, customer preferences, feasibility rules as well as technical and sales-operated option dependencies are evaluated. Furthermore, independent option-specific order freeze points are detected based on data-driven methods to handle the requirements for agile production systems by using current analytical technologies. The concept of multiple option-specific order freeze points has a high potential to be applied in a practical usage and is validated by a real-world use case of the Dr. Ing. h.c. F. Porsche AG.

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References

  1. Dannewald, T., Kreis, H.: Ist der zusammenhang zwischen kundenzufriedenheit und unternehmenserfolg quantifizierbar? In: Rendtel, U., Schirmbacher, P., Kao, O., Lesener, W.F., Minkenberg, R. (eds.), KSFE 2010, pp. 57–68. Shaker Verlag, Aachen (2010)

    Google Scholar 

  2. Dürr, S., Lamprecht, R., Kauffmann, M., Winter, J., Alexy, H., Huber, M.: Development of an integrated data-driven process to handle uncertainties in multi-variant production and logistics: a survey. In: Weißgraeber, P., Heieck, F., Ackermann, C. (eds.) Advances in Automotive Production Technology – Theory and Application. A, pp. 486–494. Springer, Heidelberg (2021). https://doi.org/10.1007/978-3-662-62962-8_56

    Chapter  Google Scholar 

  3. Heinecke, G., Köber, J., Lepratti, R., Lamparter, S., Kunz, A.: Event-driven order rescheduling model for just-in-sequence deliveries to a mixed-model assembly line. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds.) APMS 2012. IAICT, vol. 397, pp. 326–333. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40352-1_41

    Chapter  Google Scholar 

  4. Holweg, M., Miemczyk, J.: Delivering the ‘3-day car’–the strategic implications for automotive logistics operations. J. Purchasing Supply Manage. 9(2), 63–71 (2003)

    Article  Google Scholar 

  5. Brabazon, P.G., McCarthy, B.: Virtual-build-to-order as a mass customization order fulfilment model. Concurrent Eng. Res. Appl. 12(2), 155–165 (2004)

    Google Scholar 

  6. Tseng, M.M., Jiao, J., Merchant, M.E.: Design for mass customiztaion. CIRP Ann. 45(1), 153–156 (1996)

    Article  Google Scholar 

  7. Klug, F.: Logistikmanagement in der Automobilindustrie. V, Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-55873-7

    Book  Google Scholar 

  8. Sun, X.Y., Ji, P., Sun, L.Y., Wang, Y.L.: Positioning multiple decoupling points in a supply network. Int. J. Prod. Econ. 113(2), 943–956 (2008)

    Article  Google Scholar 

  9. Gusikhin, O.Y., Rychtyckyj, N., Filev, D.: Intelligent systems in the automotive industry: applications and trends. Knowl. Inf. Syst. 12, 147–168 (2006)

    Google Scholar 

  10. Thom, H.C.S.: A note on the gamma distribution. Mon. Weather Rev. 86(4), 117–122 (1958)

    Article  Google Scholar 

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Correspondence to Simon Dürr .

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Dürr, S., Silbernagel, R., Bartsch, H., Steier, G.L., Huber, M.F., Lanza, G. (2022). A Data-Driven Approach for Option-Specific Order Freeze Points in Mass-Customized Production. In: Andersen, AL., et al. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV MCPC 2021 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90700-6_70

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  • DOI: https://doi.org/10.1007/978-3-030-90700-6_70

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-90700-6

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