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Non-convex costs and capital utilization: A study of production scheduling at automobile assembly plants

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  • Hall, George J.

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This paper studies how managers at automobile assembly plants organize production across time. Detailed data from eleven single-source automobile assembly plants display considerable cross-plant heterogeneity. At plants which make low- and medium-selling vehicles the capital stock often sits idle, production is more variable than sales, and week-long shutdowns are often used to vary output. In contrast, at plants which make high-selling vehicles, the capital stock rarely sits idle, production is about as variable as sales, and over time -- bit week-long shutdowns -- is most frequently used to vary output. To explain this difference in production scheduling, I formulate and solve a dynamic programming model of a plant manager. The solution to the dynamic program predicts that when sales are low, non-convexities at the plant level induce the manager to bunch production at points of low average cost; thus, the manager uses less than full capital utilization on average and makes production more volatile than sales. When sales are high, the plant operates in a convex region of the cost curve. Hence the manager employs high levels of capital utilization and makes production less volatile than sales.
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  • 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.
  • Handle: RePEc:eee:moneco:v:45:y:2000:i:3:p:681-716
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    10. Mollick, Andre Varella, 2004. "Production smoothing in the Japanese vehicle industry," International Journal of Production Economics, Elsevier, vol. 91(1), pages 63-74, September.
    11. Friberg, Richard & Huse, Cristian, 2012. "How to use demand systems to evaluate risky projects, with an application to automobile production," CEPR Discussion Papers 9266, C.E.P.R. Discussion Papers.
    12. Caio Machado, 2024. "Coordinating in Financial Crises," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 54, October.
    13. Walter Briec & Kristiaan Kerstens & Philippe Venden Eeckaut, 2004. "Non-convex Technologies and Cost Functions: Definitions, Duality and Nonparametric Tests of Convexity," Journal of Economics, Springer, vol. 81(2), pages 155-192, February.
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    15. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    16. Irvine, F. Owen, 2007. "Sales persistence and the reduction in GDP volatility," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 22-30, July.
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    23. 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.
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