On factors impacting the bullwhip effect in the supply chain - A simulation study

WSEAS Transactions on Computers

Volumn 6, Issue 4, 2007, Pages 660-665

  Chen, Yan Kwang ^a   Lin, Yue Yi ^a   Hsieh, Kun Lin ^b   Chen, Chien Yue ^c  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL TAITUNG UNIVERSITY   (Taiwan)

^c NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Bullwhip effect; Simulation experiment; Supply chain management

Indexed keywords

COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; FORECASTING; INFORMATION SERVICES; SUPPLY CHAINS;

BULLWHIP EFFECT; COMPUTER SIMULATION TOOL; FORECASTING METHODS; INFORMATION SHARING;

SUPPLY CHAIN MANAGEMENT;

EID: 34247380200     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Blanchard, O. J., The production and inventory behavior of the American automobile industry, Journal of Political Economy, Vol. 91, 1983, pp. 356-400.
2. Chatfield, D. C., Kim, J. G., Harrison, T. P., & Hayya, J. C., The bullwhip effect of stochastic lead time, information quality, and information sharing: a simulation study, Production and Operations Management, Vol. 13, No., 4, 2004, pp. 340-353.
3. Chen, F., The centralized supply chains subject to information delays, Management Science, Vol. 4, No, 8, 1999, pp. 1076-1090.
4. Chen, F., Drezner, Z., Ryan, J.K., & Simchi-Levi, D., Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead-times and information, Management Science, Vol. 46, No. 3, 2000, pp. 436-443.
5. Chen, F., Ryan, J.K., & Simchi-Levi, D., Impact of exponential smoothing forecasts on the bullwhip effect, Naval Research Logistics, Vol. 47, No. 4, 2000, pp. 269-286.
6. Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill D. R., The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective. European Journal of Operations Research, Vol. 153, No. 3, 2004, pp. 727-750.
7. Disney, S. M., Towill, D. R., & Velde, W., Variance amplification and the golden ratio in production and inventory control, International Journal of Production Economics, Vol. 90, 2004, 295-309.
8. Forrester, J. W., Industrial Dynamics, Cambridge, MA: MIT Press, 1961.
9. Kahn, J., Inventories and volatility of production, American Economic Review, Vol. 77, No. 4, pp. 667-679.
10. Li, G., Yan, H., Wang, S., & Xia, Y., Comparative analysis on value of information sharing in supply chains, Supply Chain Management: An International Journal, Vol. 10, No. 1, 2005, pp. 34-46.
11. Lee, H. L., Padmanabhan, V., & Whang, S., Information distortion in the supply chain: The Bullwhip Effect, Management Science, Vol. 43, No. 4, 1997a, pp. 546-558.
12. Lee, H. L., Padmanabhan, V., & Whang, S., The bullwhip effect in supply chains, Sloan Management Review, Vol. 38, No. 3, 1997b, pp. 93-102.
13. Metters, R., Quantifying the bullwhip effect in supply chains, Journal of Operations Management, Vol. 15, No., 2, 1997, pp. 89-100.
14. Steckel, J.H., Gupta, S., & Banerji, A., Supply chain decision making: will shorter cycle times and shared point-of-sale information necessarily help? Management Science, Vol. 50, No. 4, 2004, pp. 458-464.
15. Sterman, J. D., Modeling managerial behavior: Misperceptions of feedback in a dynamic decision-making experiment, Management Science, Vol. 35, No. 3, 1989, pp. 321-339.
16. Zhang, X., The impact of forecasting methods on the bullwhip effect. International Journal of Production Economics, Vol. 88, No. 1, 2004, pp. 15-27.