Analysis Leading Factors of Replenishment Point for MRO by Using Data Mining Technique

• Main Authors: HO, KUO-CHIH, 何國誌
• Other Authors: WANG, JEN-HUNG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/cd2nyv

碩士 === 國立高雄科技大學 === 運籌管理系 === 107 === Domestic steel industry operators use continuous and complex production mode, and the current development is quite mature. In order to improve profit margin, enterprises reduce the operating cost, while the inventory management and safety stock of non-productive materials play an extremely important role, lacking the need. MRO materials can cause unplanned downtime, resulting in uncompensated losses. These MRO materials often have unstable demand patterns, and while most are rarely used, they are critical to sustaining production. The reorder point is used to clarify the number of units of goods when the replenishment ordering strategy is started. Once the inventory quantity is lower than the reorder point, the order is replenished. When there is uncertainty in the demand or completion cycle, appropriate safety stocks must be used to buffer or compensate for uncertainties. In this study, the indicators of re-ordering points for MRO materials were further explored by data mining technology analysis. Taking a case of a steel plant in Kaohsiung as an example, based on the data obtained and the management characteristics of inventory management and MRO materials, Out of the attributes suitable for analysis, using the decision tree induction analysis of data Mining, and analyzing the results to form a leading indicator that can be used to formulate reorder points. This method can provide understanding and comparison of MRO material demand changes, and make appropriate reorder point adjustment.