The Influence of Information Transfer Model to Bullwhip Effect

• Main Author: 鄭碧鈺
• Other Authors: 盧銘勳
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/39942730914638159154

碩士 === 逢甲大學 === 工業工程與系統管理學系 === 104 === In supply chain management, the bullwhip effect problem has yet to be solved. Each stage in the supply chain is linked with the next, and the bullwhip effect is susceptible to the impact of demand forecasts, price fluctuations, and batch ordering. Thus, when change happens downstream, it will affect the next link in the chain, and the fluctuations become distorted further upstream. How to reduce the impact caused by the bullwhip effect is still worthy of in-depth exploration. In the days of Industry 4.0, the Internet of Things, and Big Data, information delivery is more rapid. Therefore, we will use the concept of the Internet of Things to meet the demand for delivering messages more quickly. The purpose of this study is to discuss the comparison between the traditional means of feedback and instant feedback methods under the condition of Industry 4.0 in supply chain management. Using the Plant Simulation system, two kinds of feedback transmission models were simulated under differing consumer demand to compare their effects on the bullwhip effect. According to the results of this simulation, the bullwhip effect was much stronger in the traditional feedback method compared to that of the instant feedback method at every stage except for the retail stage, regardless of consumer demand. That is, the instant delivery method can substantially reduce and possibly even eliminate the bullwhip effect in the supply chain.