Document Type : Research Paper

Authors

Abstract

A major cause of supply chain deficiencies is the bullwhip effect. This phenomenon refers to demand variability increases as one move up the supply chain. Supply chain managers experience this variance amplification in both inventory levels and orders. Other side, dampening variability in orders may have a negative impact on customer service due to increase in inventory variance. The contribution of this paper is the estimation of the bullwhip effect and stock functions with using of response surface method under causes of the bullwhip effect in a three stage supply chains consisting of a single retailer, single wholesaler and single manufacturer with both centralized and un-centralized chains and show that with Considering the importance of the bullwhip effect reasons and interactions between them, the percent of optimal reasons and interactions between them and the level of desirability of bullwhip effect and net Stock will be illustrated by a model

Keywords

. Konicki, S., “Now in Bankruptcy, Kmart struggled with supply chain”, Information Week, Accessed on 28 January, 2002.
2. Disney, S.M., Farasyn, I., Lambrecht, M., Towill, D. R., and Van de Velde, W.,“Taming the bullwhip effect whilst watching customer service in a single echelon of a supply chain,” European Journal of Operational Research, 173, pp. 151–172, 2006.
3. Sterman, J., “Modelling managerial behaviour: misperceptions of feedback in a dynamic decision making experiment”, Management Science, 35, pp.321–339, 1989.
4. Dejonckheere, J., Disney, S.M., Lambrecht, M.R. and Towill, D.R., “The impact of information enrichment on the bullwhip effect in supply chains: a control engineering perspective, European Journal of Operational Research, 152, pp.727–750, 2004.
5. Lee, H.L., Padmanabhan, P., Whang, S., “The bullwhip effect in supply chains”, Sloan Management Review 38, PP.93–102, 1997a.
6. Lee, H.L., Padmanabhan, P., Whang, S., “Information distortion in a supply chain: The bullwhip effect”, Management Science 43, PP. 546–558, 1997b.
7. Holmstro¨m, J., “Product range management: A case study of supply chain operations in the European grocery industry”, Supply Chain Management 2(3), PP.107–115, 1997.
8. Chen, F., Drezner, Z., Ryan, J., Simchi-Levi, D., “Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information”, Management Science 46 (3), pp.436–443, 2000a.
9. Chen, F., Ryan, J., Simchi-Levi, D., “The impact of exponential smoothing forecasts on the bullwhip effect”, Naval Research Logistics 47 (4), PP.271–286, 2000b.
10. Simon, H.A., “On the application of servomechanism theory in the study of production control”, Econometrica, 20, PP.247–268, 1952.
11. Hsieh, K.L., Chen, Y.K., Shen, C.C., “Bootstrap confidence interval estimates of the bullwhip effect”, Simulation Modeling Practice and Theory, 15, pp.908–917, 2007.
12. Sucky, E., The bullwhip effect in supply chainsAn overestimated problem?”, Int. J. Production Economics, 118, pp.311-322, 2009.
13. Silver, E.A., Pyke, D.F., and Peterson, R.,“Inventory Management and Production Planning and Scheduling”, New York, USA: John Wiley and Sons, 1998.
14. Zipkin, P.H., “Foundations of Inventory Management”, New York, USA: McGraw-Hill, 2000.
15. Dejonckheere. J., Disney, S.M., Lambrecht, M.R. and Towill, D. R, “Measuring and avoiding the bullwhip effect: A control theoretic approach,” European Journal of Operational Research, vol. 147, no. 3, pp. 567–590, 2003.
16. Dejonckheere, J., Disney, S.M., Lambrecht, M.R. and Towill, D.R., “Measuring the bullwhip effect: a control theoretic approach to analyse forecasting induced bullwhip in orderup-to policies”, European Journal of Operational Research, 147, pp.567–590, 2003.
999 مطالعاتمدیریتصنعتی،سالیازدهم،شماره 90 ،تابستان 09
17. Myers, R.H. and Montgomery, D. C., “Response Surface Methodology: process and optimization using designed experiment”, John Wiley and sons Inc, 1995.
18. Neter, J., Kunter, M.H. & et al., “Applied Linear Statistical Methods”, 4th ed. McGraw-Hill, New York, 1996.
19. Hocking, R.R., “The analysis and selection of variables in linear regression”, Biometrics, 32, pp.1-50, 1976