| In the end of 2010, global semiconductor industry faced the situation that supply can hardly keep pace with the demand. In such case, almost all of Semiconductor Factories took effort to improve their capacity and maximize output.This thesis mainly addresses the approach to achieve maximum output on the condition of static scheduling, applies theory of scheduling and Six Sigma methodology to semiconductor factory from planning and scheduling viewpoint.Firstly, the thesis identifies the bottleneck of MQFP 12X12 EP Assembly Manufacture line, evaluates the actual capacity of the bottleneck step by using survey sampling and measurement systems analysis.Secondly, the thesis establishes a static model which targeting to sort optimized input schedule, and use LINGO Software as tool for solution. Via comparing the result of static model with EDD which Freescale in use, the thesis makes a conclusion that Static Model is better.Finally, to better achieve the expected output goal of 200K per week, the thesis also optimizes input procedure by using Six Sigma methods, points out the way to achieve maximum output is to maintain assy lot size as highest value while loading the wafers into assembly during Sunday to Saturday every week.In conclusion, through researching on the subject, we found that, if Factory Planners always simply rely on personal experience or depend on a certain rule, it will be hard to draft appropriate production plan. This thesis applies the theory of scheduling and principles of Six Sigma to semiconductor manufacture, find out the optimal production plan by establishing the static model. This method has contributed to factory working out optimized production plan, and is suitable for other semiconductor factories. |
