Constructing Mathematical Models to Investigate the Effect of Information Sharing in the Dyadic Supply Chain

• Main Authors: Chia-jung Chang, 張家榮
• Other Authors: 溫于平
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/42747553587704375534

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 93 === Today the members of a supply chain are all over the world. The goods are designed in A place, manufactured in B place, and sold to C place. Customers emphasize on not only the quality of goods, but also the speed of delivery, and the due date on time. In order to satisfy customer needs, the enterprise must collaborate with its upstream and downstream members. Due to time delays in order, material transfer, a lack of information exchange among members of a supply chain, and uncertain factors included the quality of goods, the manufacturer technology, and the variety demand, a higher amplification of the order and the inventory fluctuations is observed upstream of a supply chain. These factors lead to the distortion of the actual demand information and cause unnecessary wastes. Among the various methods of the supply chain performance improvement, the information sharing has received a lot of attention. The aim of this thesis is to try to quantify the value of the information sharing. We simplify and revise the mathematical model proposed by Gaonkar and Viswanadham to develop three models included basic information sharing (BIS) mode, partial information sharing (PIS) mode, and Basic VMI mode. Finally, we can find the difference of three models and quantify the value of the information sharing by the numerical experiments of the correlation coefficient of demand and the numerical experiments of the variance of demand.