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The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry

Author

Listed:
  • Anandasivam Gopal

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Manu Goyal

    (David Eccles School of Business, University of Utah, Salt Lake City, Utah 84112)

  • Serguei Netessine

    (INSEAD, 77305 Fontainebleau, France)

  • Matthew Reindorp

    (School of Industrial Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands)

Abstract

Product launch---an event when a new product debuts for production in a plant---is an important phase in product development. But launches disrupt manufacturing operations, resulting in productivity losses. Using data from North American automotive plants from years 1999--2007, we estimate that a product launch entails an average productivity loss of 12%--15% at the plant level. This translates to a monetary loss of $42--$53 million per launch in lost productivity. We identify several ways to mitigate the decrease in productivity. Product (or mix ) flexibility in the body shop is critical for reducing the productivity loss. A plant's past experiences with product launches as well as with manufacturing similar products (specifically, on the same platform as the launch product) temper the productivity losses even further. Nevertheless, there are subtle differences in the accrued learning with these two types of experiences: whereas the positive impact of platform experience persists over time, the learning accrued with launching other products in the same plant decays more quickly. Altogether, our results suggest that launching products at a flexible plant with appropriate platform experience could recover approximately $31 million per launch in lost productivity. This paper was accepted by Kamalini Ramdas, entepreneurship and innovation.

Suggested Citation

  • Anandasivam Gopal & Manu Goyal & Serguei Netessine & Matthew Reindorp, 2013. "The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry," Management Science, INFORMS, vol. 59(10), pages 2217-2236, October.
  • Handle: RePEc:inm:ormnsc:v:59:y:2013:i:10:p:2217-2236
    DOI: 10.1287/mnsc.2013.1709
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    as
    1. Marvin B. Lieberman & Lieven Demeester, 1999. "Inventory Reduction and Productivity Growth: Linkages in the Japanese Automotive Industry," Management Science, INFORMS, vol. 45(4), pages 466-485, April.
    2. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    3. Marshall L. Fisher & Christopher D. Ittner, 1999. "The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis," Management Science, INFORMS, vol. 45(6), pages 771-786, June.
    4. Bernhard Fleischmann & Sonja Ferber & Peter Henrich, 2006. "Strategic Planning of BMW’s Global Production Network," Interfaces, INFORMS, vol. 36(3), pages 194-208, June.
    5. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    6. Lars-Hendrik Röller & Mihkel M. Tombak, 1993. "Competition and Investment in Flexible Technologies," Management Science, INFORMS, vol. 39(1), pages 107-114, January.
    7. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    8. Manu Goyal & Serguei Netessine, 2007. "Strategic Technology Choice and Capacity Investment Under Demand Uncertainty," Management Science, INFORMS, vol. 53(2), pages 192-207, February.
    9. Nile W. Hatch & David C. Mowery, 1998. "Process Innovation and Learning by Doing in Semiconductor Manufacturing," Management Science, INFORMS, vol. 44(11-Part-1), pages 1461-1477, November.
    10. Ferdinand K. Levy, 1965. "Adaptation in the Production Process," Management Science, INFORMS, vol. 11(6), pages 136-154, April.
    11. George P. Huber, 1991. "Organizational Learning: The Contributing Processes and the Literatures," Organization Science, INFORMS, vol. 2(1), pages 88-115, February.
    12. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    13. Sergey Rumyantsev & Serguei Netessine, 2007. "What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 409-429, April.
    14. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    15. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    16. Gérard P. Cachon & Marcelo Olivares, 2010. "Drivers of Finished-Goods Inventory in the U.S. Automobile Industry," Management Science, INFORMS, vol. 56(1), pages 202-216, January.
    17. V. Krishnan & Karl T. Ulrich, 2001. "Product Development Decisions: A Review of the Literature," Management Science, INFORMS, vol. 47(1), pages 1-21, January.
    18. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    19. Dennis Epple & Linda Argote & Kenneth Murphy, 1996. "An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing," Operations Research, INFORMS, vol. 44(1), pages 77-86, February.
    20. Timothy F. Bresnahan & Valerie A. Ramey, 1994. "Output Fluctuations at the Plant Level," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 593-624.
    21. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
    22. Xavier de Groote, 1994. "The Flexibility of Production Processes: A General Framework," Management Science, INFORMS, vol. 40(7), pages 933-945, July.
    23. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    24. Michael C. Jensen & William H. Heckling, 1995. "Specific And General Knowledge, And Organizational Structure," Journal of Applied Corporate Finance, Morgan Stanley, vol. 8(2), pages 4-18, June.
    25. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    26. John Paul MacDuffie & Kannan Sethuraman & Marshall L. Fisher, 1996. "Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study," Management Science, INFORMS, vol. 42(3), pages 350-369, March.
    27. Marvin B. Lieberman & Lawrence J. Lau & Mark D. Williams, 1990. "Firm-Level Productivity and Management Influence: A Comparison of U.S. and Japanese Automobile Producers," Management Science, INFORMS, vol. 36(10), pages 1193-1215, October.
    28. Gerwin, Donald, 1989. "Manufacturing flexibility in the CAM era," Business Horizons, Elsevier, vol. 32(1), pages 78-84.
    29. Kevin B. Hendricks & Vinod R. Singhal, 1997. "Delays in New Product Introductions and the Market Value of the Firm: The Consequences of Being Late to the Market," Management Science, INFORMS, vol. 43(4), pages 422-436, April.
    30. Terwiesch, Christian & E. Bohn, Roger, 2001. "Learning and process improvement during production ramp-up," International Journal of Production Economics, Elsevier, vol. 70(1), pages 1-19, March.
    31. Kamalini Ramdas & Taylor Randall, 2008. "Does Component Sharing Help or Hurt Reliability? An Empirical Study in the Automotive Industry," Management Science, INFORMS, vol. 54(5), pages 922-938, May.
    32. Amelia Haviland & Daniel Nagin, 2005. "Causal inferences with group based trajectory models," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 557-578, September.
    33. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    34. Jeffrey M. Alden & Lawrence D. Burns & Theodore Costy & Richard D. Hutton & Craig A. Jackson & David S. Kim & Kevin A. Kohls & Jonathan H. Owen & Mark A. Turnquist & David J. Vander Veen, 2006. "General Motors Increases Its Production Throughput," Interfaces, INFORMS, vol. 36(1), pages 6-25, February.
    35. Karthik Ramachandran & V. Krishnan, 2008. "Design Architecture and Introduction Timing for Rapidly Improving Industrial Products," Manufacturing & Service Operations Management, INFORMS, vol. 10(1), pages 149-171, December.
    36. Manu Goyal & Serguei Netessine, 2011. "Volume Flexibility, Product Flexibility, or Both: The Role of Demand Correlation and Product Substitution," Manufacturing & Service Operations Management, INFORMS, vol. 13(2), pages 180-193, March.
    37. Hall, George J., 2000. "Non-convex costs and capital utilization: A study of production scheduling at automobile assembly plants," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 681-716, June.
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