Integrating Clustering Methods and Activity Based Classification Analysis to Improve Inventory Management - A Case of IC Design House

• Main Authors: Chen, Hsiang-Ju, 陳香如
• Other Authors: 劉敦仁
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/27844502456199953093

碩士 === 國立交通大學 === 管理學院資訊管理學程 === 100 === Companies usually want to satisfy customer’s requirements and also increase the profit at the same time. Nevertheless, the problems of slow-moving inventory became an underlying concern to managers and the dilemma for setting the quantity of safety stock. This research integrates Clustering methods and Activity-based Classification (ABC) analysis to determine the stock amount. The actual sales data of an IC design house is analyzed by comparing with traditional ABC analysis to discover the most appropriate way for stock management. The research result can be a reference for decision makers to prepare safety stock and improve inventory management. Furthermore, the research findings can be helpful to increase customer satisfaction and decrease stock cost.