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The impact of information sharing on bullwhip effect reduction in a supply chain

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Abstract

In this study, the impact of information sharing on bullwhip effect (BWE) is investigated using a four-echelon supply chain simulation model where each echelon shares some of the customer demand forecast information with a retailer, the lowest echelon. The level of the demand forecast shared at each echelon is represented as information sharing rate (ISR). Four different levels of ISR are considered to evaluate its impact on BWE. A full factorial design with 64 cases is used, followed by statistical analysis. The results show that (1) overall, higher ISR more significantly reduce BWE than lower ISR at all echelons; (2) further, the impact of ISR is not same between echelons. The ISR at an echelon where BWE is measured has the highest impact. However, its impact decreases at downstream echelons; (3) BWE is affected by not only the magnitude but also the balance of ISR’s across echelons, while the former has three times more impact than the latter; (4) lastly, we demonstrate that a highly unbalanced ISR may cause reverse bullwhip effect (RBWE), particularly when the level of unblance at downstream echelons is high and the uppermost echelon where BWE is measured has the highest ISR. Based on this demonstration, we derive a functional relationship between ISR’s and RBWE using regression analysis. We believe that results from this study provide useful implications and insights for better coordination and collaboration in a supply chain.

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References

  • Almeida, M., Marins, F., Salgado, A., Santos, F., & Silva, S. (2015). Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review. The International Journal of Advanced Manufacturing Technology, 77(1), 495–513.

    Article  Google Scholar 

  • Arshinder, K., Kanda, A., & Deshmukh, S. (2008). Supply chain coordination: perspectives, empirical studies and research directions. International Journal of Production Economy, 115(2), 316–335.

    Article  Google Scholar 

  • Barlas, Y., & Gunduz, B. (2011). Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains. Journal of the Operational Research Society, 62, 458–473.

    Article  Google Scholar 

  • Cannella, S., & Ciancimino, E. (2010). On the bullwhip avoidance phase: supply chain collaboration and order soothing. International Journal of Production Research, 22(15), 6739–6776.

    Article  Google Scholar 

  • Cannella, S., López-Campos, M., Dominguez, R., Ashayeri, J., & Miranda, P. (2015). A simulation model of a coordinated decentralized supply chain. International Transactions Informational Research, 22(4), 735–756.

    Article  Google Scholar 

  • Chatfield, D., Kim, J., Harrison, T., & Hayya, J. (2004). The bullwhip effect-Impact of stochastic lead time, information quality, and information sharing: A simulation study. Production and Operations Management, 13(4), 340–353.

    Article  Google Scholar 

  • Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000a). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times and information. Management Science, 46, 436–444.

    Article  Google Scholar 

  • Chen, F., Ryan, J. K., & Simchi-Levi, D. (2000b). The Impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics, 47, 269–286.

    Article  Google Scholar 

  • Cho, D. W., & Lee, Y. H. (2012). Bullwhip effect measure in a seasonal supply chain. Journal of Intelligent Manufacturing, 23, 2295–2305.

    Article  Google Scholar 

  • Costantino, F., Gravio, G., Shaban, A., & Tronci, M. (2014). The impact of information sharing and inventory control coordination on supply chain performances. Computers & Industrial Engineering, 76, 292–306.

    Article  Google Scholar 

  • Dejonckheere, J., Disney, S., Lambrecht, M., & Towill, D. (2004). The Impact of information enrichment on the bullwhip effect in supply chains: A control engineering perspective. European Journal of Operational Research, 153(3), 727–750.

    Article  Google Scholar 

  • Devika, K., Jafarian, A., Hassanzadeh, A., & Khodaverdi, R. (2016). Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics. Annals of Operations Research, 242(2), 457–487.

    Article  Google Scholar 

  • Disney, S., & Towill, D. (2003a). On the bullwhip and inventory variance produced by an ordering policy. Omega, the International Journal of Management Science, 31(3), 157–167.

    Article  Google Scholar 

  • Disney, S., & Towill, D. (2003b). Vendor-managed inventory and bullwhip effect reduction in a two-level supply chain. International Journal of Operations & Production Management, 23(6), 625–651.

    Article  Google Scholar 

  • Disney, S., & Lambrecht, M. (2008). On replenishment rules, forecasting, and the bullwhip effect in supply chains. Foundations and Trends in Technology, Information and Operations Management, 2(1), 1–80.

    Article  Google Scholar 

  • Dominguez, R., Cannella, S., & Framinan, J. (2015). The impact of the supply chain structure on bullwhip effect. Applied Mathematical Modelling, 39(23–24), 7309–7325.

    Article  Google Scholar 

  • Hall, D., & Saygin, C. (2012). Impact of information sharing on supply chain performance. International Journal of Advanced Manufacturing Technology, 58(1), 397–409.

    Article  Google Scholar 

  • Hussain, M., Drake, P., & Lee, D. M. (2012). Quantifying the impact of a supply chain’s design parameters on the bullwhip effect using simulation and Taguchi design of experiments. International Journal of Physical Distribution & Logistics Management, 42(10), 947–968.

    Article  Google Scholar 

  • Hussain, M., & Saber, H. (2012). Exploring the bullwhip effect using simulation and Taguchi experimental design. International Journal of Logistics: Research and Applications, 15(4), 234–249.

    Article  Google Scholar 

  • Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546–558.

    Article  Google Scholar 

  • Mushara, M., & Chan, F. (2012). Impact evaluation of supply chain initiatives: a system simulation methodology. International Journal of Production Research, 50(6), 1554–1567.

    Article  Google Scholar 

  • Özelkan, E., & Çakanyıldırım, M. (2009). Reverse bullwhip effect in pricing. European Journal of Operational Research, 192(1), 302–312.

    Article  Google Scholar 

  • Paik, S.-K., & Bagchi, P. K. (2007). Understanding the causes of the bullwhip effect in a supply chain. International Journal of Retail & Distribution Management, 35(4), 308–324.

    Article  Google Scholar 

  • Quyang, Y. (2007). The effect of information sharing on supply chain stability and the bullwhip effect. European Journal of Operational Research, 182(3), 1107–1121.

    Article  Google Scholar 

  • Rong, Y., Max Shen, Z., & Snyder, L. (2008). The impact of ordering behavior on order-quantity variability: a study of forward and reverse bullwhip effects. Flexible Services and Manufacturing Journal, 20, 95–124.

    Article  Google Scholar 

  • Simon, J., Naim, M., & Towill, D. (1994). Dynamic analysis of a WIP compensated decision support system. International Journal of Manufacturing System Design, 1(4), 283–297.

    Google Scholar 

  • Sterman, J. (1989). Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321–339.

    Article  Google Scholar 

  • Towill, D. (1982). Dynamic analysis of an inventory and order based production control system. International Journal of Production Research, 20, 369–383.

    Article  Google Scholar 

  • Towill, D., Zhou, L., & Disney, S. (2007). Reducing the bullwhip effect: Looking through the appropriate lens. International Journal of Production Economics, 108(1–2), 444–453.

    Article  Google Scholar 

  • Wright, D., & Yuan, C. (2008). Mitigating the bullwhip effect by ordering policies and forecasting methods. International Journal of Production Economics, 113(2), 587–597.

    Article  Google Scholar 

  • Yao, Y., & Zhu, K. (2012). Do electronic linkages reduce the bullwhip effect? An empirical analysis of the U.S. manufacturing supply chains. Information Systems Research, 23(3), 1042–1055.

    Article  Google Scholar 

  • Youn, S., Hwang, W., & Yang, M. (2012). The role of mutual trust in supply chain management: deriving from attribution theory and transaction cost theory. International Journal of Business Excellence, 5(5), 575–597.

    Article  Google Scholar 

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Acknowledgements

This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under Project Number SCX 3130315.

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Authors and Affiliations

  1. Engineering Management, University of Houston at Clear Lake, 2700 Bay Area Blvd, Houston, TX, 77058, USA

    Kiyoung Jeong

  2. Industrial Engineering, South Carolina State University, 300 College Street NE, Orangeburg, SC, 29117, USA

    Jae-Dong Hong

Authors
  1. Kiyoung Jeong
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  2. Jae-Dong Hong
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Correspondence to Kiyoung Jeong.

Appendix A

Appendix A

BWE:

Bullwhip effect

CDF:

Customer demand forecast

ISR:

Information sharing rate

RBWE:

Reverse bullwhip effect

SCC:

Supply chain coordination

SRO:

Smoothing replenishment order

WIP:

Work-in-progress

ANOVA:

Analysis of variance

VIF:

Variance inflation factor

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Jeong, K., Hong, JD. The impact of information sharing on bullwhip effect reduction in a supply chain. J Intell Manuf 30, 1739–1751 (2019). https://doi.org/10.1007/s10845-017-1354-y

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  • DOI: https://doi.org/10.1007/s10845-017-1354-y

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