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

Product launch – an event when a new product debuts for production in a plant – is an important phase in product development. But launches disrupt plant operations; hence quick and efficient launches are critical from the perspective of both the new product and the productivity of existing manufacturing processes. Using plant-level data from years 1999-2007 for the North-American automotive industry, we empirically study productivity losses in plants hosting product launches. Using a methodology akin to an event study, we estimate an average productivity drop of 15% at the plant level that can be attributed to the launch event. We identify several ways to mitigate the decrease in productivity. Product flexibility in the body shop is critical for mitigating the productivity loss. Furthermore, we find that a plant’s past experiences with product launches as well as with manufacturing similar products (specifically, on the same platform as the launch-product) mitigate the productivity losses even further. However, 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. In summary, our results suggest that launching products in flexible plants with appropriate platform experience can together recover approximately $28.5 million per year per launch-plant in lost productivity.

[1]  Jiri Chod,et al.  Resource Flexibility with Responsive Pricing , 2005, Oper. Res..

[2]  Xavier de Groote,et al.  The flexibility of production processes: a general framework , 1994 .

[3]  Rajeev Dehejia,et al.  Propensity Score-Matching Methods for Nonexperimental Causal Studies , 2002, Review of Economics and Statistics.

[4]  Suresh P. Sethi,et al.  Flexibility in manufacturing: A survey , 1990 .

[5]  George S. Easton,et al.  Tradeoffs in Manufacturing? A Meta‐Analysis and Critique of the Literature , 2010 .

[6]  E. Hippel Sticky Information and the Locus of Problem Solving: Implications for Innovation , 1994 .

[7]  Moreno Muffatto,et al.  Product architecture and platforms: a conceptual framework , 2002, Int. J. Technol. Manag..

[8]  Manu Goyal,et al.  Deployment of Manufacturing Flexibility: An Empirical Analysis of the North American Automotive Industry , 2012 .

[9]  Michael J. Stevens,et al.  Career-Related Antecedents and Outcomes of Job Rotation , 1994 .

[10]  M. Lechner Program Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labor Market Policies , 2002, Review of Economics and Statistics.

[11]  Karthik Ramachandran,et al.  Design Architecture and Introduction Timing for Rapidly Improving Industrial Products , 2008, Manuf. Serv. Oper. Manag..

[12]  L. Röller,et al.  Competition and Investment in Flexible Technologies , 1993 .

[13]  William R Shadish,et al.  Propensity Scores , 2005, Evaluation review.

[14]  M. Lieberman,et al.  Firm-Level Productivity and Management Influence: A Comparison of U.S. and Japanese Automobile Producers , 1990 .

[15]  Yi Xu,et al.  The copy-exactly ramp-up strategy: trading-off learning with process change , 2004, IEEE Transactions on Engineering Management.

[16]  Marshall L. Fisher,et al.  The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis , 1999 .

[17]  Serguei Netessine,et al.  What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation , 2007, Manuf. Serv. Oper. Manag..

[18]  Antonio Moreno,et al.  Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry , 2015, Manuf. Serv. Oper. Manag..

[19]  Manu Goyal,et al.  Strategic Technology Choice and Capacity Investment Under Demand Uncertainty , 2007, Manag. Sci..

[20]  T. P. Wright,et al.  Factors affecting the cost of airplanes , 1936 .

[21]  Amelia M. Haviland,et al.  Causal inferences with group based trajectory models , 2005 .

[22]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[23]  G. Imbens,et al.  Bias-Corrected Matching Estimators for Average Treatment Effects , 2011 .

[24]  Donald Gerwin,et al.  Manufacturing flexibility in the CAM era , 1989 .

[25]  D. Rubin Matched Sampling for Causal Effects: Matching to Remove Bias in Observational Studies , 1973 .

[26]  D. Mowery,et al.  Process Innovation and Learning by Doing in Semiconductor Manufacturing , 1998 .

[27]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[28]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[29]  C. Syverson What Determines Productivity? , 2010 .

[30]  Bernhard Fleischmann,et al.  Strategic Planning of BMW's Global Production Network , 2006, Interfaces.

[31]  Jeffrey M. Woodbridge Econometric Analysis of Cross Section and Panel Data , 2002 .

[32]  David Robertson,et al.  Product development performance: Strategy, organization, and management in the world auto industry , 1992 .

[33]  G. Huber Organizational Learning: The Contributing Processes and the Literatures , 1991 .

[34]  B. Kogut,et al.  Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology , 1992 .

[35]  K. B. Hendricks,et al.  Delays in new product introductions and the market value of the firm: the consequences of being late to the market , 1997 .

[36]  Christian Terwiesch,et al.  International product transfer and production ramp-up: a case study from the data storage industry , 2001 .

[37]  Moreno Muffatto,et al.  Introducing a platform strategy in product development , 1999 .

[38]  Burt S. Barnow,et al.  Issues in the Analysis of Selectivity Bias. Discussion Papers. Revised. , 1980 .

[39]  M. Lieberman,et al.  Inventory Reduction and Productivity Growth: Linkages in the Japanese Automotive Industry , 1999 .

[40]  Johannes Van Biesebroeck,et al.  The cost of flexibility , 2007 .

[41]  Karl T. Ulrich,et al.  Special Issue on Design and Development: Product Development Decisions: A Review of the Literature , 2001, Manag. Sci..

[42]  J. Heckman Sample selection bias as a specification error , 1979 .

[43]  J. Ruiz Moreno [Organizational learning]. , 2001, Revista de enfermeria.

[44]  Taylor Randall,et al.  Does Component Sharing Help or Hurt Reliability? An Empirical Study in the Automotive Industry , 2008, Manag. Sci..

[45]  R. Grant Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .

[46]  Gérard P. Cachon,et al.  Drivers of Finished-Goods Inventory in the U.S. Automobile Industry , 2010, Manag. Sci..

[47]  C. Terwiesch,et al.  Learning and process improvement during production ramp-up , 1998 .

[48]  Ekkehart Frieling,et al.  Job rotation - implications for old and impaired assembly line workers. , 2010 .

[49]  Manu Goyal,et al.  Volume Flexibility, Product Flexibility, or Both: The Role of Demand Correlation and Product Substitution , 2011, Manuf. Serv. Oper. Manag..

[50]  G. Hall,et al.  Non-Convex Costs and Capital Utilization: A Study of Production Scheduling at Automobile Assembly Plants , 2000 .

[51]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[52]  Michael M. Brylawski UNCOMMON KNOWLEDGE : AUTOMOTIVE PLATFORM SHARING ’ S POTENTIAL IMPACT ON ADVANCED TECHNOLOGIES , 1999 .

[53]  C. L. Benkard Learning and Forgetting: the Dynamics of Aircraft Production , 1999 .

[54]  P. Thompson,et al.  Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding , 2001 .

[55]  Gérard P. Cachon,et al.  Severe Weather and Automobile Assembly Productivity , 2012 .

[56]  John Paul Macduffie,et al.  Product variety and manufacturing performance: evidence from the international automotive assembly plant study , 1996 .

[57]  L. Argote,et al.  Learning Curves in Manufacturing , 1990, Science.

[58]  Charles H. Fine,et al.  Optimal investment in product-flexible manufacturing capacity , 1990 .

[59]  Mark A. Turnquist,et al.  General Motors Increases Its Production Throughput , 2006, Interfaces.

[60]  Computer Staff,et al.  The Machine That Changed the World , 1992 .

[61]  J. V. Mieghem Investment Strategies for Flexible Resources , 1998 .

[62]  S. Winter,et al.  An Evolutionary Theory of Economic Change.by Richard R. Nelson; Sidney G. Winter , 1987 .

[63]  M. C. Jensen,et al.  Specific and General Knowledge and Organizational Structure , 1995 .

[64]  L. Argote,et al.  The persistence and transfer of learning in industrial settings , 1990 .

[65]  D. Gerwin Manufacturing flexibility: a strategic perspective , 1993 .

[66]  Linda Argote,et al.  An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing , 1996, Oper. Res..

[67]  William C. Jordan,et al.  Principles on the benefits of manufacturing process flexibility , 1995 .

[68]  B. Kogut,et al.  Exploring internal stickiness : Impediments to the transfer of best practice within the firm , 2007 .

[69]  Timothy Bresnahan,et al.  Output Fluctuations at the Plant Level , 1992 .