The Improvement on Mechanical Drilling Process ofIC Substrates Company Using Simulation Tools

• Main Authors: Shao-An Chen, 陳紹安
• Other Authors: Yun-Chia Liang
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/29030842082586751822

碩士 === 元智大學 === 工業工程與管理學系 === 103 === The case company is one of the leading IC substrates companies in Taiwan. The fact, the uneven distribution of production resources caused by the dispatching rules at mechanical drilling station in the case company has long led to a serious bottleneck problem which may cost the delay of the entire manufacturing procedure. To remedy these problems, this study employs AutoMod simulation software to build three scenarios and evaluates their performance based on three practical measures - utilization rate, mean waiting time, and makespan of orders. Three main themes of this research consist of production flow improvement, utilization rate balance, and purchase of machinery. In the production flow improvement part, three simulation models were proposed: Model 1 resembled the current condition of mechanical drilling operation in the case company, in which when job orders arrive, they are first classified according to the types and drilling conditions, and then assigned to each drilling station and being processed according to the First Come First Serve (FCFS) rule. Model 2 uses the Earliest Due Date (EDD) rule to determine the priority of orders based on their urgency such as Extra Urgent, Urgent, or General case. A screening station is established in front of the drilling station to assign the orders. Model 3 adopts the Shortest Processing Time (SPT) rule to avoid the orders with long processing times that occupy machines for too long and lead to delays and bottlenecks. The strategy of utilization rate balance and purchase of machinery on the other hand hope to achieve load balancing on each single machine. Both strategies are employed with the three models above to observe their improvement on the current scenario. Simulation results show that in the flow improvement study, the best scenario - Model 3 can reduce the mean waiting time by 16% and makespan by 9%, and meanwhile increase the production capacity by 624 batches. While considering the utilization rate balance and purchase of machinery, Model 3 still outperforms other scenarios by further reducing the mean waiting time by 22% and makespan by 13%, and increasing the capacity by 914 batches. Keyword: System simulation, scheduling, utilization rate balance