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Inventory dynamics in process industries: An empirical investigation

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  • Moser, Philipp
  • Isaksson, Olov H.D.
  • Seifert, Ralf W.

Abstract

Process industry firms have thrived in recent decades, but changes in the markets are currently putting both growth and profitability at risk. In this context, inventory management is increasingly viewed as an essential lever for creating a sustainable competitive advantage. Despite this, many firms struggle to implement best practices because of industry-specific constraints. This research explores how seven fundamental characteristics of process industries drive inventory performance. We empirically investigate four process industries and four peer industries, using financial accounting, credit rating, stock market and trading data and implement a seemingly unrelated regression (SUR) equations model. Our results show that capital intensity, capital costs, transportation costs, delivery time, price volatility, demand uncertainty and gross margin directly affect a company's degree of freedom in terms of inventory management and illustrate that inventory management in process industries follows different dynamics. This study enhances the understanding of inventory drivers and gives practitioners a tool to guide future improvement efforts.

Suggested Citation

  • Moser, Philipp & Isaksson, Olov H.D. & Seifert, Ralf W., 2017. "Inventory dynamics in process industries: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 253-266.
    • Handle: RePEc:eee:proeco:v:191:y:2017:i:c:p:253-266
    DOI: 10.1016/j.ijpe.2017.06.019
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    as
    1. Emmanuel Farhi & Ricardo Caballero & Pierre-Olivier Gourinchas, "undated". "Financial Crash, Commodity Prices and Global Imbalances," Working Paper 20933, Harvard University OpenScholar.
    2. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Nesim Erkip & Warren H. Hausman & Steven Nahmias, 1990. "Optimal Centralized Ordering Policies in Multi-Echelon Inventory Systems with Correlated Demands," Management Science, INFORMS, vol. 36(3), pages 381-392, March.
    5. van Donk, Dirk Pieter, 2001. "Make to stock or make to order: The decoupling point in the food processing industries," International Journal of Production Economics, Elsevier, vol. 69(3), pages 297-306, February.
    6. Aswath Damodaran, 1999. "Estimating Risk Parameters," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-019, New York University, Leonard N. Stern School of Business-.
    7. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    8. Vishal Gaur & Marshall L. Fisher & Ananth Raman, 2005. "An Econometric Analysis of Inventory Turnover Performance in Retail Services," Management Science, INFORMS, vol. 51(2), pages 181-194, February.
    9. 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.
    10. Saravanan Kesavan & Vishal Gaur & Ananth Raman, 2010. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?," Management Science, INFORMS, vol. 56(9), pages 1519-1533, September.
    11. John E. Ettlie, 1998. "R&D and Global Manufacturing Performance," Management Science, INFORMS, vol. 44(1), pages 1-11, January.
    12. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    13. Stephen C. Graves, 1996. "A Multiechelon Inventory Model with Fixed Replenishment Intervals," Management Science, INFORMS, vol. 42(1), pages 1-18, January.
    14. Holt, Charles C., 2004. "Forecasting seasonals and trends by exponentially weighted moving averages," International Journal of Forecasting, Elsevier, vol. 20(1), pages 5-10.
    15. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    16. Blumenfeld, Dennis E. & Burns, Lawrence D. & Diltz, J. David & Daganzo, Carlos F., 1985. "Analyzing trade-offs between transportation, inventory and production costs on freight networks," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 361-380, October.
    17. Thonemann, Ulrich W. & Bradley, James R., 2002. "The effect of product variety on supply-chain performance," European Journal of Operational Research, Elsevier, vol. 143(3), pages 548-569, December.
    18. S. Rajagopalan & Arvind Malhotra, 2001. "Have U.S. Manufacturing Inventories Really Decreased? An Empirical Study," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 14-24, June.
    19. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
    20. Ricardo J. Caballero & Emmanuel Farhi & Pierre-Olivier Gourinchas, 2008. "Financial Crash, Commody Prices, and Global Inbalances," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(2 (Fall)), pages 1-68.
    21. Holt, Charles C., 2004. "Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages'," International Journal of Forecasting, Elsevier, vol. 20(1), pages 11-13.
    22. Daina Dennis & Jack Meredith, 2000. "An Empirical Analysis of Process Industry Transformation Systems," Management Science, INFORMS, vol. 46(8), pages 1085-1099, August.
    23. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    24. Matthew D. Hill & G. Wayne Kelly & Michael J. Highfield, 2010. "Net Operating Working Capital Behavior: A First Look," Financial Management, Financial Management Association International, vol. 39(2), pages 783-805, June.
    25. Hong Chen & Murray Z. Frank & Owen Q. Wu, 2005. "What Actually Happened to the Inventories of American Companies Between 1981 and 2000?," Management Science, INFORMS, vol. 51(7), pages 1015-1031, July.
    26. Lawrence D. Burns & Randolph W. Hall & Dennis E. Blumenfeld & Carlos F. Daganzo, 1985. "Distribution Strategies that Minimize Transportation and Inventory Costs," Operations Research, INFORMS, vol. 33(3), pages 469-490, June.
    27. Yossi Aviv, 2001. "The Effect of Collaborative Forecasting on Supply Chain Performance," Management Science, INFORMS, vol. 47(10), pages 1326-1343, October.
    28. Hong Chen & Murray Z. Frank & Owen Q. Wu, 2007. "U.S. Retail and Wholesale Inventory Performance from 1981 to 2004," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 430-456, April.
    29. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    30. Irvine, F Owen, Jr, 1981. "Retail Inventory Investment and the Cost of Capital," American Economic Review, American Economic Association, vol. 71(4), pages 633-648, September.
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