The replenishment model of CPFR

• Main Author: 陳志強
• Other Authors: 林我聰
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/q68hxa

碩士 === 國立政治大學 === 資訊管理研究所 === 96 === CPFR (Collaborative Planning, Forecasting, and Replenishment) is one of the applications of collaborative business. The stressed concept is the cooperation process of sellers and buyers on the supply chain in order to increase the handling efficiency. In the future, the industries would compete on the whole supply chains behind products—only the industry that is capable of making accurate predictions according to the constantly changing market and reacts immediately has the chance of winning. Being able to control the inventory and supply effectively would be one of the key factors leading to an industry’s success. The replenishment model of CPFR is to fill out the order according to the sales prediction, order prediction, inventory strategy, and supply information. The precision of the replenishment model could affect both suppliers and customers. The former can distribute products properly and meet the different demands from the upcoming orders so as to reduce inventory; the latter are able to revise the inventory strategy and amount of order according to the order prediction. A few research papers aimed at the replenishment model, though, most still focus on the management issues like the process framework of CPFR and the implementation benefit. Hence, establishing both an information system that coordinates customer demand with suppliers and a collaborative replenishment model that increases the accuracy of predictions is fairly important. The phase of replenishment, as the subject of this study, will approach on parameters the collaborative replenishment model needs to input and combine evolution strategies with tabu search to establish a replenishment model under the process of CPFR.