| Summary: | 碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === This study was motivated to propose a forecasting and replenishment control model to one of the Distribution Centers in a Medical Device Manufacturer. In the Medical Device Industry, the desire for high levels of customer service often results in less than optimal inventory levels. Sometimes, big companies face challenges when have distribution centers in different parts of the world, and there is lack of a reliable business process for collecting demand data from channel. Therefore, as part of the characteristics of this industry, it is necessary to adopt suitable models to generate efficient replenishment plans due to the diversity in the portfolio of products and the constant changes in their demand. We used a Case Study Approach to analyze three years of real data for six different products, identify the probability distribution behind every demand set, and employ forecasting methods to give more precise demand estimates. Also, we proposed to determine the replenishment quantity using a Periodic Inventory Review model for the Distribution Center. We verify that the proposed approach obtained better forecasting than those given by the field sales in the Distribution Center using the historical data. Therefore, we believe the proposed approach may serve as an effective tool that supports their decision making, forecasting, and replenishment system. The case company could look for opportunities to extend them to other subsidiaries.
|
|---|
