A Study of Bootstrapping Method for the Optimal Safety Stock in Computer Spare Parts

• Main Authors: I-Hsin Lin, 林怡馨
• Other Authors: Yi-Ru Yan
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/v2a5cq

碩士 === 臺中技術學院 === 流通管理系碩士班 === 99 === The advance of technology has speeded up the updates and replacements of electronic products. Companies should hold a certain amount of spare parts for after-sales service. In addition to the anticipation inventories, companies also must hold safety stock. However, as spare parts have an intermittent demand pattern, there is great uncertainty inherent in estimating the safety stock. In this study, a renowned computer company provided the historical information of its desktop computer parts. We use bootstrapping method to establish a safety stock model, with an aim to reach the goal of low stock out rate and high fill rate. We adopt ABC analysis to classify all items and choose six stock keeping units (SKU) from a variety of selected items as the basis for safety stock. We use service level, stock out rate, fill rate, and total cost analysis as the performance evaluation indicators. Finally, we establish the safety stock for various spare parts based on the service level. The empirical results show that bootstrapping method can achieve better service and higher fill rate than moving average method. We establish the safety stock for different types of service level, so that companies can adjust the safety stock as per the actual situation and their service strategies. Because the class A parts are used more frequently and with a higher demand, they have a larger safety stock. The class B and class C parts have a long interval between usages and low demand, so their safety stock is smaller than the class A parts.