| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 95 === The wafer probing process is the last operation in the front-end of wafer fabrication, and its due-date oriented performance is extremely concerned. Formerly researches related to wafer probing scheduling problem merely investigate the utilization of main resource in the system, while the auxiliary resources were out of consideration. In order to fit in with reality, the wafer probing scheduling system in this thesis will consider constraints of order due date, sequence dependent setup time, machine capacity, and process capability. It futhermore considers the constraint of probe card resource.
In this study, we first estimate the capacity of machines and probe cards to see if their supply can bear the aggregate demand of orders. Then, we construct a mixed integer programming model that matched with a production planning procedure so as to simultaneously considering the delivery performance of orders, the highly capacity utilization of the bottleneck and auxiliary resource. The planning results contain the production sequence of each product of orders and the schedule of each probe card. Furthermore, to fully utilize machine’s capcacity, we develop a “probe card adding procedure” to assist the company borrowing the right types of probe cards from his supplier. Finally, if there exists spare capacity based on the result of MPS, this system can rapidly determine whether a new coming order can be accepted or not.
The experimental results showed that based on due date constraints, all orders will be scheduled with minimum setup time to properly utilize the capacity of machines and probe cards. Moreover, when there is some surplus capacity on machines but the demand is not fully satisfied, this system will determine which kind of probe cards would be added to make good use of the capacity of the machine. Hence, the mechanism proposed in this thesis can provide effective and efficient planning results, which are valuable for replying committable amount to demand management department and for detail scheduling in shop floor production control.
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