Measure and Analysis of the Bullwhip Effect in Supply Chain When Demand Correlation Exists between Two Market Groups Under the First-Order Moving-Average Demand Processes

  • Authors

    • Kittiwat Sirikasemsuk
    • Sarawut Sirikasemsuk
    2018-07-27
    https://doi.org/10.14419/ijet.v7i3.13.16335
  • supply chain, bullwhip effect, first-order moving-average model, demand correlation, order-up-to policy, decentralized warehouse

  • With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. The phenomenon in which the variation of upstream members' orders is amplified than the variation of downstream members' demands in the supply chain is called the bullwhip effect (BWEF). Most of existing research studies did not realize the demand dependency of market demands. Thus, this research focused on the study of the influence of the demand correlation coefficient between two market groups on the BWEF. The incoming demand processes are assumed the separate first-order moving-average, [MA(1)] demand patterns. The scope of the supply chain structure used in this research is composed of one manufacturer and two distribution centers. The general result reveals that the coefficient of correlation is one of several factors affecting the BWEF.

     

  • References

    1. [1] Gaither N & Frazier G, Production and Operations Management,. South-Western/Thomson Learning, (1999).

      [2] Krajewski LJ & Ritzman LP, Operations Management: Strategy and Analysis, 8th edn. Addison Wesley, (1998).

      [3] Bhattacharya R & Bandyopadhyay S (2011), A review of the causes of bullwhip effect in a supply chain. International Journal of Advanced Manufacturing Technology 54, 1245–1261.

      [4] Chen F, Drezner Z, Ryan JK & Simchi-Levi D (2000), Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead time, and information. Management Science 46, 436-443.

      [5] Kim JG, Chatfield DC, Harrison TP & Hayya JC (2006), Quantifying the bullwhip effect in a supply chain with stochastic lead time. European Journal of Operational Research 173, 617–636.

      [6] Chatfield DC, Kim JG, Harrison TP & Hayya JC (2004), The bullwhip effect—impact of stochastic lead time, information quality, and information sharing: a simulation study. Production and Operations Management 13, 340-353.

      [7] Sucky E (2009), The bullwhip effect in supply chains - An overestimated problem?. International Journal of Production Economics 118, 311–322.

      [8] Chen F, Ryan JK & Simchi-Levi D (2000), The impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics 47, 269-286.

      [9] Xu K, Dong Y & Evers PT (2001), Towards better coordination of the supply chain. Transportation Research Part E: Logistics Transportation Review 37, 35–54.

      [10] Luong HT (2007), Measure of bullwhip effect in supply chain with autoregressive demand process. European Journal of Operational Research 180, 1086-1097.

      [11] Sirikasemsuk K (2014), Impact of order splitting on bullwhip effect in supply chain: case of identical lead time at distributors-retailer links. Advanced Materials Research 931-932, 1652-1657.

      [12] Sirikasemsuk K & Luong HT (2014), Measure of bullwhip effect – a dual sourcing model. International Journal of Production Economics 20, 396–426.

      [13] Sirikasemsuk K (2014), Understanding the impact of replenishment lead times on the bullwhip effect in dual-sourcing supply chains. Australian Journal of Basic and Applied Sciences 8, 70-77.

      [14] Zhang X (2004), The impact of forecasting methods on the bullwhip effect. International Journal of Production Economics 88, 15-27.

      [15] Liu H & Wang P (2007), Bullwhip effect analysis in supply chain for demand forecasting technology. Systems Engineering - Theory&Practice 27, 26-33.

      [16] Wang J, Kuo J, Chou S & Wang S (2010), A comparison of bullwhip effect in a single-stage supply chain for autocorrelated demands when using correct, MA, and EWMA methods. Expert Systems with Applications 37, 4726-4736.

      [17] Duc TTH, Luong HT & Kim YD (2008), A measure of the bullwhip effect in supply chains with stochastic lead time. International Journal of Advanced Manufacturing Technology 38, 1201-1212.

      [18] Luong HT & Phien NH (2007), Measure of bullwhip effect in supply chain: the case of high order autoregressive demand process. European Journal of Operational Research 183, 197-209.

      [19] Duc TTH, Luong HT & Kim Y (2008), A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process. European Journal of Operational Research 187, 243-256.

      [20] Hassanzadeh A, Jafarianb A & Amirib M (2014), Modeling and analysis of the causes of bullwhip effect in centralized and decentralized supply chain using response surface method. Applied Mathematical Modelling 28, 2353-2365.

      [21] Bayraktar E, Koh SCL, Gunasekaranc A, Sari K & Tatoglue E (2008), The role of forecasting on bullwhip effect for E-SCM applications. International Journal of Production Economics 113, 193-204.

      [22] Zhang X & Burke GJ (2011), Analysis of compound bullwhip effect causes. European Journal of Operational Research 210, 514-526.

      [23] Duc TTH, Luong HT & Kim Y (2010), Effect of the third-party warehouse on bullwhip effect and inventory cost in supply chains. International Journal of Production Economics 12, 395-407.

      [24] Sirikasemsuk K & Luong HT (2017), Measure of bullwhip effect in supply chains with first-order bivariate vector autoregression time-series demand model. Computers & Operations Research 78, 59-79,

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  • How to Cite

    Sirikasemsuk, K., & Sirikasemsuk, S. (2018). Measure and Analysis of the Bullwhip Effect in Supply Chain When Demand Correlation Exists between Two Market Groups Under the First-Order Moving-Average Demand Processes. International Journal of Engineering & Technology, 7(3.13), 108-112. https://doi.org/10.14419/ijet.v7i3.13.16335