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Demand fluctuation and chaotic behaviour by interaction between customers and suppliers

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  • Wu, Y.
  • Zhang, D.Z.

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  • Wu, Y. & Zhang, D.Z., 2007. "Demand fluctuation and chaotic behaviour by interaction between customers and suppliers," International Journal of Production Economics, Elsevier, vol. 107(1), pages 250-259, May.
    • Handle: RePEc:eee:proeco:v:107:y:2007:i:1:p:250-259
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    References listed on IDEAS

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    1. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    2. Rajiv Lal & J. Miguel Villas-Boas, 1998. "Price Promotions and Trade Deals with Multiproduct Retailers," Management Science, INFORMS, vol. 44(7), pages 935-949, July.
    3. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    4. Zhang, Xiaolong, 2004. "The impact of forecasting methods on the bullwhip effect," International Journal of Production Economics, Elsevier, vol. 88(1), pages 15-27, March.
    5. Apostolos Serletis & Periklis Gogas, 2007. "The North American Natural Gas Liquids Markets are Chaotic," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 17, pages 225-244, World Scientific Publishing Co. Pte. Ltd..
    6. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    7. Disney, S. M. & Naim, M. M. & Potter, A., 2004. "Assessing the impact of e-business on supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 89(2), pages 109-118, May.
    8. Matsumoto, Akio, 2001. "Can inventory chaos be welfare improving," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 31-43, May.
    9. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    10. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2002. "Transfer function analysis of forecasting induced bullwhip in supply chains," International Journal of Production Economics, Elsevier, vol. 78(2), pages 133-144, July.
    11. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    12. Brock, William A. & Sayers, Chera L., 1988. "Is the business cycle characterized by deterministic chaos?," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 71-90, July.
    13. Larsen, Erik R. & Morecroft, John D. W. & Thomsen, Jesper S., 1999. "Complex behaviour in a production-distribution model," European Journal of Operational Research, Elsevier, vol. 119(1), pages 61-74, November.
    14. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    15. Jarsulic, Marc, 1993. "A nonlinear model of the pure growth cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 22(2), pages 133-151, October.
    16. Rasmussen, Dan Rene & Mosekilde, Erik, 1988. "Bifurcations and chaos in a generic management model," European Journal of Operational Research, Elsevier, vol. 35(1), pages 80-88, April.
    17. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
    18. Christopher M. Rump & Shaler Stidham, 1998. "Stability and Chaos in Input Pricing for a Service Facility with Adaptive Customer Response to Congestion," Management Science, INFORMS, vol. 44(2), pages 246-261, February.
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    Cited by:

    1. Hongjun Peng & Tao Pang & Fuliang Cao & Juan Zhao, 2018. "A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-26, December.
    2. Katsoras, Efthymios & Georgiadis, Patroklos, 2022. "An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19," International Journal of Production Economics, Elsevier, vol. 253(C).
    3. Oderanti, Festus Oluseyi & De Wilde, Philippe, 2010. "Dynamics of business games with management of fuzzy rules for decision making," International Journal of Production Economics, Elsevier, vol. 128(1), pages 96-109, November.
    4. Yuan, Xuchuan & Nishant, Rohit, 2021. "Understanding the complex relationship between R&D investment and firm growth: A chaos perspective," Journal of Business Research, Elsevier, vol. 129(C), pages 666-678.
    5. Yongchang Wei & Fangyu Chen & Feng Xiong, 2018. "Dynamic Complexities in a Supply Chain System with Lateral Transshipments," Complexity, Hindawi, vol. 2018, pages 1-15, June.
    6. Efthymios Katsoras & Patroklos Georgiadis, 2022. "A Dynamic Analysis for Mitigating Disaster Effects in Closed Loop Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    7. Roger B Mason & Thomas Dobbelstein, 2016. "The Influence of the Level of Environmental Complexity and Turbulence on the Choice of Marketing Tactics," Journal of Economics and Behavioral Studies, AMH International, vol. 8(2), pages 40-55.
    8. Mike G. Tsionas & Pankaj C. Patel, 2022. "An entrepreneur's dilemma: An optimal stopping rule in pivoting," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3498-3515, December.
    9. Wang, Xun & Disney, Stephen M. & Wang, Jing, 2014. "Exploring the oscillatory dynamics of a forbidden returns inventory system," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 3-12.
    10. H. Norouzi Nav & M. R. Jahed Motlagh & A. Makui, 2017. "Robust controlling of chaotic behavior in supply chain networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 711-724, June.
    11. Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
    12. Wang, Xun & Disney, Stephen M. & Wang, Jing, 2012. "Stability analysis of constrained inventory systems with transportation delay," European Journal of Operational Research, Elsevier, vol. 223(1), pages 86-95.

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