Improving Warehouse Management via Data Analysis

• Main Authors: WANG, JUN-CHENG, 王俊程
• Other Authors: HSU, CHUNG-CHAIN
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/84qvj6

碩士 === 國立雲林科技大學 === 資訊管理系 === 106 === Traditional warehousing is a worthless activity, but with the rise of e-commerce, supply chain has become the key to profitability. This paper focuses specifically on the efficiency of warehousing, material warehousing is the operation of the place where the material is stored according to the customer's order from the designated storage location and when the material comes in. Now, the warehouse faces the challenge of a large number of customer orders. The storage strategy and pick time. From past to present, the consolidation of storage locations relies heavily on the expertise and experience of warehousing personnel, there is no fixed solution. This experiment should use data mining, from ship data, stock data and warehouse space data. According to SKU ship frequency assigned the ABC classification, and through the calculating Storage space know the space condition, to optimize reservoir distribution and estimate the order of time.