Abstract��
Based on information theory,systems engineering and control engineering theory,the uncertain information distortion problem in a simple two-stage supply chain was studied for the purpose of improving the stability of supply chain system. Firstly, the uncertain information distortion was generally defined and analyzed from the viewpoint of information transferring and processing. Secondly, the ordering subsystem model of a simple two-stage supply chain was built. The system transfer function and frequency response characteristics were analyzed. Two scenarios were considered: one is the traditional supply chain in which the members do not share information, the other one is the integrated supply chain in which the end customer demand information is shared by all members. According to these analyses, the influences of information distortion on supply chain performances were discussed. Finally, the benefits of information sharing in supply chains were effectively measured by using information theory and control engineering approach.
Wang Jing, Sun Haiyan, Li Yilan.Irregular information distortion and weakening methods in supply chains[J] JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(12): 1481-1484
Chen F, Drezner Z, Ryan J K, et al. Quantifying the bullwhip effect in a simple supply chain:the impact of forecasting, lead times, and information[J].Management Science.2000,46(3):436-443
[2]
Lee H L, Padmanablan V, Whang S. Information distortion in a supply chain:the bullwhip effect[J].Management Science.1997, 43(4):546-558
[3]
Dejomckheere J, Disney M S, Lambrecht M R, et al. Measuring and avoiding the bullwhip effect:a control theoretic approach[J].European Journal of Operational Research.2003,147:567-590
[4]
Dejomckheere J, Disney M S, Lambrecht M R, et al. The impact of information enrichment on the bullwhip effect in supply chains:a control engineering perspective[J].European Journal of Operational Research.2004,153:727-750
[5]
Wang J, Jia J, Takahashi K. A study on the impact of uncertain factors on information distortion in supply chains[J].Production Planning & Control.2005,16(1):2-11
2006, Vol. 32 
