Measuring the Bullwhip Effect: Discrepancy and Alignment Between Information and Material Flows

Published Online:https://doi.org/10.1287/msom.2016.0590

References

  • Aviv Y (2001) The effect of collaborative forecasting on supply chain performance. Management Sci. 47(10):1326–1343.LinkGoogle Scholar
  • Aviv Y (2002) Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing Service Oper. Management 4(1):55–74.LinkGoogle Scholar
  • Aviv Y (2003) A time-series framework for supply chain inventory management. Oper. Res. 51(2):210–227.LinkGoogle Scholar
  • Aviv Y (2007) On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Sci. 53(5):777–794.LinkGoogle Scholar
  • Axsäter S, Rosling K (1993) Notes: Installation vs. echelon stock policies for multilevel inventory control. Management Sci. 39(10):1274–1280.LinkGoogle Scholar
  • Billingsley P (1995) Probability and Measure, 3rd ed. (John Wiley & Sons, New York).Google Scholar
  • Blanchard OJ (1983) The production and inventory behavior of the American automobile industry. J. Political Econom. 91(3):365–400.CrossrefGoogle Scholar
  • Blinder AS (1981) Retail inventory behavior and business fluctuations. Brookings Papers Econom. Activity 2:443–520.CrossrefGoogle Scholar
  • Bray RL, Mendelson H (2012) Information transmission and the bullwhip effect: An empirical investigation. Management Sci. 58(5):860–875.LinkGoogle Scholar
  • Bray RL, Mendelson H (2015) Production smoothing and the bullwhip effect. Manufacturing Service Oper. Management 17(2):208–220.LinkGoogle Scholar
  • Cachon G (1999) Managing supply chain demand variability with scheduled ordering policies. Management Sci. 45(6):843–856.LinkGoogle Scholar
  • Cachon G, Randall T, Schmidt G (2007) In search of the bullwhip effect. Manufacturing Service Oper. Management 9(4):457–479.LinkGoogle Scholar
  • Chen L, Lee HL (2009) Information sharing and order variability control under a generalized demand model. Management Sci. 55(5):781–797.LinkGoogle Scholar
  • Chen L, Lee HL (2012) Bullwhip effect measurement and its implications. Oper. Res. 60(4):771–784.LinkGoogle Scholar
  • Chen L, Lee HL (2016) Modeling and measuring the bullwhip effect. Ha AY, Tang CS, eds. Handbook of Information Exchange in Supply Chain Management. Springer Series in Supply Chain Management, Vol. 5 (Springer, New York), 3–26.Google Scholar
  • Chen YF, Ryan JK, Simchi-Levi D (2000a) The impact of exponential smoothing forecasts on the bullwhip effect. Naval Res. Logist. 47(4):269–286.CrossrefGoogle Scholar
  • Chen YF, Drezner Z, Ryan JK, Simchi-Levi D (2000b) Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times and information. Management Sci. 46(3):436–443.LinkGoogle Scholar
  • De Kok T (2012) The return of the bullwhip. Rev. Bus. Econom. Lit. 57(3):381–393.Google Scholar
  • Duan Y, Yao Y, Huo J (2015) Bullwhip effect under substitute products. J. Oper. Management 36(May):75–89.CrossrefGoogle Scholar
  • Eppen GD, Schrage L (1981) Centralized ordering policies in a multi-warehouse system with lead time and random demand. Schwarz LB, ed. Multi-level Production/Inventory Systems: Theory and Practice (North-Holland, Amsterdam), 51–67.Google Scholar
  • Fair RC (1989) The production-smoothing model is alive and well. J. Monetary Econom. 24(3):353–370.CrossrefGoogle Scholar
  • Gaur V, Giloni A, Seshadri S (2005) Information sharing in a supply chain under ARMA demand. Management Sci. 51(6):961–969.LinkGoogle Scholar
  • Ghali MA (1987) Seasonality, aggregation and the testing of the production smoothing hypothesis. Amer. Econom. Rev. 77(3):464–469.Google Scholar
  • Gilbert K (2005) An ARIMA supply chain model. Management Sci. 51(2):305–310.LinkGoogle Scholar
  • Graves SC (1999) A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management 1(1):50–61.LinkGoogle Scholar
  • Holt CC, Modigliani F, Shelton JP (1968) The transmission of demand fluctuations through a distribution and production system, the TV-set industry. Canadian J. Econom. 1(4):718–739.CrossrefGoogle Scholar
  • Kahn JA (1987) Inventories and the volatility of production. Amer. Econom. Rev. 77(4):667–679.Google Scholar
  • Kahn JA (1992) Why is production more volatile than sales? Theory and evidence on the stockout-avoidance motive for inventory-holding. Quart. J. Econom. 107(2):481–510.CrossrefGoogle Scholar
  • Lee HL, Padmanabhan V, Whang S (1997) Information distortion in a supply chain: The bullwhip effect. Management Sci. 43(4):546–558.LinkGoogle Scholar
  • Lee HL, So KC, Tang CS (2000) The value of information sharing in a two-level supply chain. Management Sci. 46(5):626–643.LinkGoogle Scholar
  • Miron JA, Zeldes SP (1988) Seasonality, cost shocks, and the production smoothing model of inventories. Econometrica 56(4):877–908.CrossrefGoogle Scholar
  • Mosser PC (1991) Trade inventories and (S, s). Quart. J. Econom. 106(4):1267–1286.CrossrefGoogle Scholar
  • Osadchiy N, Gaur V, Seshadri S (2016) Systematic risk in supply chain sales. Management Sci. 62(6):1755–1777.LinkGoogle Scholar
  • Rong Y, Shen ZJM, Snyder LV (2009) The impact of ordering behavior on order-quantity variability: A study of forward and reverse bullwhip effects. Flexible Services Manufacturing J. 20(1):95–124.Google Scholar
  • Udenio M, Fransoo J, Peels R (2015) Destocking, the bullwhip effect, and the credit crisis: Empirical modeling of supply chain dynamics. Internat. J. Production Econom. 160(February):34–46.CrossrefGoogle Scholar
  • van Donselaar KH, Gaur V, van Woensel T, Broekmeulen RACM, Fransoo JC (2010) Ordering behavior in retail stores and implications for automated replenishment. Management Sci. 56(5):766–784.LinkGoogle Scholar
  • Zipkin P (2000) Foundations of Inventory Management (McGraw-Hill, Boston).Google Scholar
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