Discussion on Application of Operating Curve for Prediction of Cycle Time at a Semiconductor Assembly Factory

• Main Authors: Xing-Yu Chen, 陳星宇
• Other Authors: Yu-Duen Chang
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/j33t4p

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 95 === Every production system needs performance indicators to measure its productivity and make its objectives, but there are many effects and interactions among performance indicators. It is difficult to only aim at one performance indicator. Relying on Operating curve allows the manager to quantitatively trade-off one indicator versus another for a given system’s current operating state. Cycle time distribution is the center on the management of cycle time for semiconductor manufacturing. A commonly used measure of cycle time distribution in the practice is 95%-tail or 98%-tail cycle time (namely CT95% or CT98%). All of above cycle time is viewed as mean value in the review of operating curve. A case of semiconductor assembly factory (called factory A) is referred to build its simulation model and developed its operating curve could predict the cycle time distribution. Afterward, there are discussions about the factors, which effect cycle time distribution. This study made use of simulation to reach sampling distribution that estimate value from one sample in the constant variation situation. Later, the simulation is verified the function which operating curve could do. In experiment results, there is the limit of building the operating curve because of the variation. In order to achieve the purpose of prediction, interval estimate is used from the performance relation coordinates. By the way, the coordinates are used to analyze the factors, which effect cycle time distribution. It reveled that different quantity of the lot start effect the level of cycle time distribution and verified the dispatching rule factory A used as the most suitable rule.