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论文类型：会议论文

发表时间：2006-01-01

收录刊物：CPCI-S、CPCI-SSH

页面范围：1206-1210

关键字：bullwhip effect; information sharing; noise bandwidth; Matlab/Simulink simulation

摘要：We consider a series of companies in a supply chain, each of which orders from its immediate upstream members. Usually, the retailer's order do not coincide with the actual retail sales. The bullwhip effect, which can have serious impacts on the performance of the supply chain, refers to the phenomenon where orders to supplier tend to have larger variance than sales to the buyer(i.e. demand distortion), and the distortion propagates upstream in an amplified form(i.e. demand. amplification). Many previous studies have identified and summarized five different causes of the bullwhip effect, e.g. demand forecasting, supply shortages, lead times, batch ordering, and price variations, of which the demand forecasts appeared to be a key driver of the bullwhip effect. Information sharing policy, which is widely used in practice, can greatly reduce the information distortion among different members in the supply chain. Here, based on a linear multi-stage supply chain, simulations have been performed using Matlab/Simulink. Through the methods of Noise bandwidth and simulation, comparisons have been made between a traditional supply chain and an information enriched supply chain. The effect of the parameters of logistics' lead time and the exponential smoothing forecast on the bullwhip effect have been analyzed. Finally, some corresponding counter-measures for reducing the bullwhip effect have been brought forward.