Analysis of the Bullwhip Effect in a Multiproduct Setting with Interdependent Demands

References

• Alwan LC, Liu JJ, Yao DG (2003) Stochastic characterization of upstream demand processes in a supply chain. IIE Trans. 35(3):207–219.Crossref, Google Scholar
• Aviv Y (2003) A time-series framework for supply chain inventory management. Oper. Res. 51(2):210–227.Link, Google Scholar
• Box GEP, Tiao GC (1977) A canonical analysis of multiple time series. Biometrika 64(2):355–365.Crossref, Google Scholar
• Boute RN, DeJonckheere J, Disney SM, Van de Velde W (2012) Bullwhip in a multiproduct production setting. Rev. Bus. Econom. Literature 57(3):354–380.Google Scholar
• Bray R, Mendelson H (2012) Information transmission and the bullwhip effect: An empirical investigation. Management Sci. 58(5):860–875.Link, Google Scholar
• Cachon G, Randall T, Schmidt G (2007) In search of the bullwhip effect. Manufacturing Service Oper. Management 9(4):457–479.Link, Google Scholar
• Chaharsooghi SK, Sadeghi A (2008) Bullwhip effect measure in supply shains with VAR(1) demand process. Internat. J. Indust. Engrg. Production Res. 19(4):9–19.Google Scholar
• Chen A, Blue J (2010) Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands. Internat. J. Production Econom. 128(2): 586–602.Crossref, Google Scholar
• Chen L, Lee HL (2009) Information sharing and order variability control under a generalized demand model. Management Sci. 55(5):781–797.Link, Google Scholar
• Chen L, Lee HL (2012) Bullwhip effect measurement and its implications. Oper. Res. 60(4):771–784.Link, Google 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), 3–25.Google Scholar
• Chen L, Luo W, Shang KH (2017) Measuring the bullwhip effect: Discrepancy and alignment between information and material flows. Manufacturing & Service Oper. Management 19(1):37–52.Link, Google Scholar
• Chen F, Drezner Z, Ryan JK, Simchi-Levi D (2000) Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Sci. 46(3):436–443.Link, Google Scholar
• Fransoo JC, Wouters M (2000) Measuring the bullwhip effect in supply chains, Supply Chain Management: An Internat. J. 5(2000):78–89.Crossref, Google Scholar
• Gaur V, Giloni A, Seshadri S (2005) Information sharing in a supply chain under ARMA demand. Management Sci. 51(6):961–969.Link, Google Scholar
• Gilbert K (2005) An ARIMA supply chain model. Management Sci. 51(2):305–310.Link, Google Scholar
• Graves SC (1999) A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management 1(1):50–61.Link, Google Scholar
• Hoyt D, Lee HL (2001) Solectron: From Contract Manufacturer to Global Supply Chain Integrator, Stanford Graduate School of Business Case: GS24.Google Scholar
• Lee HL, Padmanabhan PP, Whang S (1997) Information distortion in a supply chain: The Bullwhip Effect. Management Sci. 43(4):546–558.Link, Google 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.Link, Google Scholar
• Miyaoka J, Hausman WH (2004) How a base stock policy using stale forecasts provides supply chain benefits. Manufacturing Service Oper. Management 6(2):149–162.Link, Google Scholar
• Sbrana G, Silvestrini A (2013) Forecasting aggregate demand: Analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework. Internat. J. Production Econom. 146(1):185–198.Crossref, Google Scholar
• Tiao GC, Box GEP (1981) Modeling multiple times series with applications. J. Amer. Statist. Assoc. 76(376):802–816.Google Scholar
• Tiao GC, Tsay RS (1983) Multiple time series modeling and extended sample cross-correlations. J. Bus. Econom. Statist. 1(1):43–59.Google Scholar
• Wang X, Disney S (2016) The bullwhip effect: Progress, trends and directions. Eur. J. Oper. Res. 250(3):691–701.Crossref, Google Scholar
• Zhang X (2004a) The impact of forecasting methods on the bullwhip effect. Internat. J. Production Econom. 88(1):15–27.Crossref, Google Scholar
• Zhang X (2004b) Evolution of ARMA demand in supply chains. Manufacturing Services Oper. Management 6(2):195–198.Link, Google Scholar