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Complexity
Volume 2018 (2018), Article ID 8539740, 19 pages
https://doi.org/10.1155/2018/8539740
Research Article

Study of the Bullwhip Effect under Various Forecasting Methods in Electronics Supply Chain with Dual Retailers considering Market Share

1College of Management and Economics, Tianjin University, Tianjin 300072, China
2School of HUAXIN Software, Tianjin University of Technology, Tianjin 300384, China

Correspondence should be addressed to Liqing Zhu; moC.621@81808002uhzqL

Received 13 April 2017; Accepted 17 July 2017; Published 8 January 2018

Academic Editor: Soheil Salahshour

Copyright © 2018 Junhai Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. L. Lee, P. Padmanabhan, and S. Whang, “Information distortion in a supply chain: the bullwhip effect,” Management Science, vol. 43, no. 4, pp. 546–558, 1997. View at Publisher · View at Google Scholar · View at Scopus
  2. H. L. Lee, P. Padmanabhan, and S. Whang, “Bullwhip Effect in a Supply Chain,” Sloan Management Review, vol. 38, no. 2, pp. 93–102, 1997. View at Google Scholar
  3. J. W. Forrester, “Industrial Dynamics-A Major Breakthrough for Decision Making,” Harvard Business Review, vol. 36, no. 4, pp. 37–66, 1958. View at Google Scholar
  4. J. W. Forrester, Industrial Dynamics, MIT Press, Cambridge, Mass, USA, 1961. View at MathSciNet
  5. J. Sterman, “Optimal Policy for A Multi-product, Dynamic, Nonstationary Inventory Problem,” Management Science, vol. 18, no. 12, pp. 206–222, 1989. View at Google Scholar
  6. F. Chen, Z. Drezner, J. K. Ryan, and D. Simchi-Levi, “Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information,” Management Science, vol. 46, no. 3, pp. 436–443, 2000. View at Publisher · View at Google Scholar · View at Scopus
  7. F. Chen, J. K. Ryan, and D. Simchi-Levi, “The impact of exponential smoothing forecasts on the bullwhip effect,” Naval Research Logistics, vol. 47, no. 4, pp. 269–286, 2000. View at Publisher · View at Google Scholar · View at MathSciNet
  8. X. Zhang, “The impact of forecasting methods on the bullwhip effect,” International Journal of Production Economics, vol. 88, no. 1, pp. 15–27, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. H. L. Lee, K. C. So, and C. S. Tang, “Value of information sharing in a two-level supply chain,” Management Science, vol. 46, no. 5, pp. 626–643, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. H. T. Luong, “Measure of bullwhip effect in supply chains with autoregressive demand process,” European Journal of Operational Research, vol. 180, no. 3, pp. 1086–1097, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. H. T. Luong and N. H. Phien, “Measure of bullwhip effect in supply chains: The case of high order autoregressive demand process,” European Journal of Operational Research, vol. 183, no. 1, pp. 197–209, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. T. T. H. Duc, H. T. Luong, and Y. D. Kim, “Effect of the third-party warehouse on bullwhip effect and inventory cost in supply chains,” International Journal of Production Economics, vol. 124, no. 2, pp. 395–407, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. S. C. Graves, “A single-item inventory model for a nonstationary demand process,” Manufacturing & Service Operations Management, vol. 1, no. 1, pp. 50–61, 1999. View at Publisher · View at Google Scholar
  14. R. S. Pindyck and D. L. Rubinfeld, Econometric Models and Economic Forecasts, Irwin McGraw-Hill, Boston, MA, USA, 4th edition, 1998.
  15. S. M. Disney, I. Farasyn, M. Lambrecht, D. Towill, and W. Van de Velde, “Taming the bullwhip effect whilst watching customer service in a single supply chain echelon,” European Journal of Operational Research, vol. 173, no. 1, pp. 151–172, 2006. View at Publisher · View at Google Scholar · View at MathSciNet
  16. T. T. Duc, H. T. Luong, and Y.-D. Kim, “A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process,” European Journal of Operational Research, vol. 187, no. 1, pp. 243–256, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. Y. Feng and J. H. Ma, “Demand and Forecasting in Supply Chains Based on ARMA(1, 1) Demand process,” Industrial Engineering Journal, vol. 11, no. 5, pp. 50–55, 2008. View at Google Scholar
  18. J. H. Ma and X. G. Ma, “A comparison of bullwhip effect under various forecasting techniques in supply chains with two retailers,” Abstract and Applied Analysis, vol. 2013, Article ID 796384, 14 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. J. H. Ma and J. Zhang, “Measure of bullwhip effect considering stochastic disturbance based on price fluctuations in a supply chain with two retailers,” Wseas Transactions on Mathematics, vol. 14, pp. 127–149, 2015. View at Google Scholar
  20. S. Bandyopadhyay and R. Bhattacharya, “A generalized measure of bullwhip effect in supply chain with ARMA demand process under various replenishment policies,” International Journal of Advanced Manufacturing Technology, vol. 68, no. 5-8, pp. 963–979, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. K. Gilbert, “An ARIMA supply chain model,” Management Science, vol. 51, no. 2, pp. 305–310, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. C. H. Nagaraja, A. Thavaneswaran, and S. S. Appadoo, “Measuring the bullwhip effect for supply chains with seasonal demand components,” European Journal of Operational Research, vol. 242, no. 2, pp. 445–454, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. Z. Han, J. Ma, F. Si, and W. Ren, “Entropy complexity and stability of a nonlinear dynamic game model with two delays,” Entropy, vol. 18, article no 317, no. 9, 2016. View at Google Scholar
  24. J. Ma and F. Si, “Complex dynamics of a continuous bertrand duopoly game model with two-stage delay,” Entropy, vol. 18, article no 266, 2016. View at Google Scholar