Performance Evaluation of a Ferrite Supply Chain with Fixed-Interval Deliveries of Finished Items

• Main Author: 陳怡君
• Other Authors: 呂博裕
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/65652146928739805174

碩士 === 明新科技大學 === 工程管理研究所 === 96 === In many production systems, JIT manufacturing technology is implemented both to reduce the manufacturing costs and increase the productivity of the system. Diponegoro and Sarker investigated a PC chip supply chain. Silicon wafer vendors (e.g., TSMC) supply wafers to the Motorola Company for manufacturing PC chips, which in turn, are delivered to several customers such as IBM, Apple, Motorola itself. In order to satisfy the customers’ demands at fixed intervals of time, the manufacturing company (Motorola in this case) has to keep its production at regular pace to maintain the appropriate finished items inventory (PC chips in this case). A typical Ferrite supply chain belongs to this kind of supply chains. It includes the following members: materials suppliers, manufacturer, and customers. The customers are all operated in the JIT environment. The manufacturer is operated in the make to stock (MTS) environment, i.e., it has finished items inventory. The finished items are delivered to customers frequently at a fixed interval by the manufacturer. This study proposes a simulation-based research structure to evaluate the impact of experimental variables (including the number of deliveries per day (NDD), lead time-related variables, cost-related variables, etc.) on the performance of the Ferrite supply chain. The performance indexes used in the study include system cost, tardiness, and inventory level of finished items. Finally, a real Ferrite supply chain is used to demonstrate the research structure. Based on the results of the example, the performance of NDD depends on other variables with respect to the measure of system cost. High frequency/small batch size performs better with respect to the measure of tardiness. Low frequency/large batch size or middle-level frequency/middle-level batch size performs better with respect to the measure of inventory level of finished items.