A CPFR Sales Forecasting Model Based on Category Management for the Textile and Apparel Industry

• Main Authors: Wen-Chun Huang, 黃文俊
• Other Authors: 陳銘崑
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/3pmc7j

碩士 === 國立臺北科技大學 === 商業自動化與管理研究所 === 96 === In order to have reacted to cancel the quota restrictions by WTO since 2005, and the globalization of competition, the textile and apparel industry needs the closer cooperation between the company and the place of the production, the better ability to management the global logistics, the quicker response to the customer and the demand from the market, and to handle and forecast the trend to the market. Therefore, the textile and apparel industry must have a new business model to help it. The concept of CPFR (Collaboration Planning, Forecasting, and Replenishment) proposed by VICS (Voluntary Inter-industry Commerce Standards) in 1998 had been adopted in many enterprises and it had proved it`s performance. The main spirit of CPFR is to emphasize the sharing of the information among participating partners, and through these information to deal with the Collaboration forecasting. Following this process it can improve the accuracy of forecasting and the efficiency in supply chain. In this study we proposed a CPFR sales forecasting model for the textile and apparel industry. This CPFR process is based on a category management process and takes the former literatures and industrial practices as references. Through this process, we analysis different kinds of categories by using the SOM(Self Organization Map) classification algorithm and develop the different kinds of sales forecasting models by using BPN(Back-propagation network) algorithm . Furthermore, we take the real case for testing and verifying. The result of simulation can offer references to enterprise when making practical decisions.