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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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)
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
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
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)
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)
Tseng, M.M., Jiao, J., Merchant, M.E.: Design for mass customiztaion. CIRP Ann. 45(1), 153–156 (1996)
Klug, F.: Logistikmanagement in der Automobilindustrie. V, Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-55873-7
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)
Gusikhin, O.Y., Rychtyckyj, N., Filev, D.: Intelligent systems in the automotive industry: applications and trends. Knowl. Inf. Syst. 12, 147–168 (2006)
Thom, H.C.S.: A note on the gamma distribution. Mon. Weather Rev. 86(4), 117–122 (1958)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-90700-6_70
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90699-3
Online ISBN: 978-3-030-90700-6
eBook Packages: EngineeringEngineering (R0)