Abstract
Research on after-sales supply chain management has commonly emphasized strategic business aspects and the application of generic operations control principles. The adoption of Internet and identification technology in after-sales operations opens up new and interesting perspectives that may enable a radical reorganization of after-sales supply chain planning and control. This chapter introduces the product centric service concept, which is the particular organizational perspective that is the basis for the reorganization of the after-sales supply chain. A two-layer approach for organizing after-sales supply chain planning and control is described and the potential benefits explained.
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References
Anke, J., & Främling, K. (2005). Distributed decision support in a PLM scenario. Proceedings of Product Data Technology Europe 14th Symposium (pp. 129–137). 26–28 September 2005, Amsterdam, The Netherlands.
Auramo, J., & Ala-Risku, T. (2005). Challenges for going downstream. International Journal of Logistics: Research and Applications, 8(4), 333–345.
Callon, M., Méadel, C., & Rabeharisoa, V. (2002). The economy of qualities. Economy and Society, 31(2), 194–217.
Cohen, M., Agrawal, N., & Agrawal, V. (2006a). Achieving breakthrough service delivery through dynamic asset deployment strategies. Interfaces, 36(3), 259–271.
Cohen, M., Agrawal, N., & Agrawal, V. (2006b). Winning the aftermarket. Harvard Business review, May, 2–13.
Dennis, M. J., & Kambil, A. (2003). Service management: Building profits after the sale. Supply Chain Management Review, 7(1), 42–49.
Farris, T., Wittmann, M., & Hasty, R. (2005). Aftermarket support and the supply chain. International Journal of Physical Distribution & Logistics Management, 35(1), 6–19.
Främling, K., Ala-Risku, T., Kärkkäinen, M., & Holmström, J. (2006). Agent-based model for managing composite product information. Computers in Industry, 57(1), 72–81.
Främling, K., Ala-Risku, T., Kärkkäinen, M., & Holmström, J. (2007). Design patterns for managing product life cycle information. Communications of the ACM, 50(6), 75–79.
Galbraith, J. (1972). Organization Design: An information processing view. In J. W. Lorsch & P. R. Lawrence (Eds.), Organization planning: Cases and concepts (pp. 49–72). Homewood, lL: Irwin.
Gs1 (2007). http://www.gs1.org, accessed June 11, 2007.
Harland, C. (1995). The dynamics of customer dissatisfaction in supply chains. Production Planning & Control, 6(3), 209–217.
Jansen-Vullers, M. H., Wortmann, J. C., & Beulens, A. J. M. (2004). Application of labels to trace material flows in multi-echelon supply chains. Production Planning & Control, 15(3), 303–312.
Kärkkäinen, M., Ala-Risku, T., & Främling, K. (2003). The product centric approach: a solution to supply network information management problems? Computers in Industry, 52(2), 147–159.
Kumar, K., & van Dissel, H. (1996). Sustainable collaboration: Managing conflict and cooperation in inter organizational systems. MIS Quarterly, 20(3), 279–300.
Lewis, J. C., & Naim, M. M. (1995). Benchmarking of aftermarket supply chains. Production Planning & Control, 6(3), 258–269.
Liptrot, D., & Palarchio, G. (2000). Utilizing advanced maintenance practices and information technology to achieve maximum equipment reliability. International Journal of Quality & Reliability Management, 17(8), 919–928.
Lummus, R., & Vokurka, R. (1999). Defining supply chain management: a historical perspective and practical guidelines. Industrial Management & Data Systems, 99(1), 11–18.
March, J. G., & Simon, H. A. (1958). Organizations (2nd ed.). New York: Wiley-Blackwell.
Mentzer, J., DeWitt, W., Keebler, J., Soonhoong, M., Nix, N., Smith, C., et al. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25.
Orlikowski, W., & Gash, D. (1994). Technological frames: Making sense of information technology in organizations. ACM Transactions on Information Systems, 12(2), 174–207.
Parsons, J., & Wand, Y. (2000). Emancipating Instances from the tyranny of classes in information modeling. ACM Transactions on Database Systems, 25(2), 228–268.
Pátkai, B. et al. (2007). Requirements for RFID-based sensor integration in landing gear monitoring – a case study, Auto-ID Labs. Available at: http://www.aero-id.org/research_reports/AEROID-CAM-016-MessierDowty.pdf [Accessed July 20, 2009].
Sampson, S., & Froehle, C. (2005). Foundations and Implications of a Proposed Unified Services Theory. Production and Operations Management, 15(2), 329–343.
Schmenner, R. W., & Swink, M. L. (1998). On theory in operations management. Journal of Operations Management, 17(1), 97–113.
Stuit, M., & Meyer, G. (2009). Agent Interaction Modeling Based on Product-Centric Data: A Formal Method to Improve Enterprise Interoperability. In K. Fischer et al. (Eds.), ATOP 2005 and ATOP 2008, LNBIP 25 (pp. 197–219). Berlin: Springer.
Vollmann, E., Berry, W., Whybark, D., & Jacobs, F. (2004). Manufacturing planning and control for supply chain management. New York: McGraw-Hill.
Wise, R., & Baumgartner, P. (1999). Go Downstream: The New Profit Imperative in Manufacturing, Harvard Business Review, September, pp. 133–141.
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Holmström, J., Cheikhrouhou, N., Farine, G., Främling, K. (2010). Product Centric Organization of After-Sales Supply Chain Planning and Control. In: Fransoo, J., Waefler, T., Wilson, J. (eds) Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13382-4_9
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