[1] Lee H L, Padmanabhan P, Whang S. Information distortion in a supply chain: the bullwhip effect [J].Management Science, 2004, 50(12): 1875-1886.
[2] Sterman J D. Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment [J]. Management Science, 1989, 135(3): 321-339.
[3] Springer M, Kim I. Managing the order pipeline to reduce supply chain volatility [J]. European Journal of Operational Research, 2010, 203(2): 380-392.
[4] Wang J L, Kuo J K, Chou S Y, et al. A comparison of bullwhip effect in a single-stage supply chain for autocorrelated demands when using Correct, MA, and EWMA methods [J]. Expert Systems with Applications, 2010, 37(7): 4726-4736.
[5] Strozzi F, Noe C, Zaldivar J M. Stability control in supply chain: total costs and bullwhip effect reduction [J]. The Open Operational Research Journal, 2008, 2(7): 51-59.
[6] Sipahi R, Delice I I. Stability of inventory dynamics in supply chains with three delays [J]. International Journal of Production Economics, 2010, 123(1): 107-117.
[7] Ortega M, Lin L. Control theory applications to the production-inventory problem: a review [J]. International Journal of Production Research, 2004, 42(11): 2303-2322.
[8] Sarimveis H, Patrinos P, Tarantilis C D, et al. Dynamic modeling and control of supply chain systems: a review [J]. Computers and Operations Research, 2008, 35(11): 3530-3561.
[9] Disney S M, Towill D R, van de Velde W. Variance amplification and golden ratio in production and inventory control [J]. International Journal of Production Economics, 2004, 90(3): 295-309.
[10] Disney S M, Towill D R. Eliminating drift in inventory and order based production control systems [J]. International Journal of Production Economics, 2005, 93/94(1): 331-344.
[11] Hwarng H B, Xie N. Understanding supply chain dynamics: a chaos perspective [J]. European Journal of Operational Research, 2008, 184(3): 1163-1178.
[12] Towill D R. Dynamic analysis of an inventory and order based production control system [J]. International Journal of Production Research, 1982, 20(6): 671-687.
[13] Jury E I. Theory and application of the Z-transform method [M]. New York: Wiley, 1964.