How to cite this paper
Ghaffari, M & Javadian, N. (2013). Analysis of the bullwhip effect with multi-echelon, multi-product supply chains.International Journal of Industrial Engineering Computations , 4(4), 579-586.
Refrences
Chaharsooghi, S. K., & Heydari, J. (2010). LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?. International Journal of Production Economics, 124(2), 475-481.
Chatfield, D. C., Kim, J. G., Harrison, T. P., & Hayya, J. C. (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.
Chen, F. (1998). Echelon reorder points, installation reorder points, and the value of centralized demand information. Management Science, 44(12-Part-2), S221-S234.
Chen, F., Ryan, J. K., & Simchi-Levi, D. (2000a). The impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics, 47(4), 269-286.
Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000b). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management science, 46(3), 436-443.#3
Chen, C. L., & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6), 1131-1144.
Dehbari, S., Pourrousta, A., Nezhad, S., Tavakkoli-Moghaddam, R., & Javanshir, H. (2012). A new supply chain management method with one-way time window: A hybrid PSO-SA approach. International Journal of Industrial Engineering Computations, 3(2), 241-252.
Duc, T. T. H., Luong, H. T., & Kim, Y. D. (2008). A measure of the bullwhip effect in supply chains with stochastic lead time. The International Journal of Advanced Manufacturing Technology, 38(11-12), 1201-1212.
Fioriolli, J. C., & Fogliatto, F. S. (2008, December). A Model to quantify the Bullwhip Effect in systems with stochastic demand and lead time. In Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on (pp. 1098-1102). IEEE.
Graves, S. C. (1999). A single-item inventory model for a nonstationary demand process. Manufacturing & Service Operations Management, 1(1), 50-61.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: the bullwhip effect. Management science, 43(4), 546-558.
Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626-643.
Luong, H. T. (2007). Measure of bullwhip effect in supply chains with autoregressive demand process. European Journal of Operational Research,180(3), 1086-1097.
Kurt Salmon Associates. (1993). Efficient Consumer Response: Enhancing consumer value in the grocery industry. Research Department, Food Marketing Institute.
Zhang, X. (2004). The impact of forecasting methods on the bullwhip effect.International Journal of Production Economics, 88(1), 15-27.
Chatfield, D. C., Kim, J. G., Harrison, T. P., & Hayya, J. C. (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.
Chen, F. (1998). Echelon reorder points, installation reorder points, and the value of centralized demand information. Management Science, 44(12-Part-2), S221-S234.
Chen, F., Ryan, J. K., & Simchi-Levi, D. (2000a). The impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics, 47(4), 269-286.
Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000b). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management science, 46(3), 436-443.#3
Chen, C. L., & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6), 1131-1144.
Dehbari, S., Pourrousta, A., Nezhad, S., Tavakkoli-Moghaddam, R., & Javanshir, H. (2012). A new supply chain management method with one-way time window: A hybrid PSO-SA approach. International Journal of Industrial Engineering Computations, 3(2), 241-252.
Duc, T. T. H., Luong, H. T., & Kim, Y. D. (2008). A measure of the bullwhip effect in supply chains with stochastic lead time. The International Journal of Advanced Manufacturing Technology, 38(11-12), 1201-1212.
Fioriolli, J. C., & Fogliatto, F. S. (2008, December). A Model to quantify the Bullwhip Effect in systems with stochastic demand and lead time. In Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on (pp. 1098-1102). IEEE.
Graves, S. C. (1999). A single-item inventory model for a nonstationary demand process. Manufacturing & Service Operations Management, 1(1), 50-61.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: the bullwhip effect. Management science, 43(4), 546-558.
Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626-643.
Luong, H. T. (2007). Measure of bullwhip effect in supply chains with autoregressive demand process. European Journal of Operational Research,180(3), 1086-1097.
Kurt Salmon Associates. (1993). Efficient Consumer Response: Enhancing consumer value in the grocery industry. Research Department, Food Marketing Institute.
Zhang, X. (2004). The impact of forecasting methods on the bullwhip effect.International Journal of Production Economics, 88(1), 15-27.