The Design of Production Planning System for Integrating IC Packaging and Final Testing Processes
|關鍵字:||多廠規劃;製程規格能力;生產排程;multi-site planning;process capability;production scheduling|
Following the throughput increasing in IC foundries, the demand of IC packaging and final testing is also increasing. Each enterprise thus establishes new factories to satisfy the customers’ need. The enterprise of IC package & final testing thus faces a difficulty to deal with demand allocation that makes the production smoothly between the up-stream and down-stream factories. This study will focus on IC packaging and final testing processes and will propose a production planning system for planning the product type and quantity that each factory in each stage shall produce. The thesis includes three planning stages. In “the planning stage for IC packaging process”, according to the scheduled throughput in the planning horizon, we propose an integer programming model to allocate the product mix to each IC packaging factory with consideration to the capacity supply of bottleneck machines and capability constraints. Then we plan the product lines for each IC packaging factory with consideration to the capacity supply and product quantity assigned for each factory. Finally, we estimate the release time, cycle time and predict the due date of each job order at the packaging stage. In “the planning stage for final testing process”, after collecting the delivery date of each job order from each packaging factory, we propose a mixed integer programming model to derive the product type and quantity that each IC packaging factory has to transport to any specific final testing factory. Leveling the utilization rates of all testes is the major concern so as to make the cycle time of the same product type in each factory being consistent. Then, according to the capacity loading of each factory, we can estimate the release time of each job order and cycle time for each product type using Huang’s cycle time estimation algorithm for a final testing factory. Finally, we predict the due date of each job order at the final testing stage. In “the order management stage”, we transform a customer order into job orders in the production system. And according to the table of deliverable date, the production planner can quickly reply the customer whether we can accept the customer order or not. Finally, we collect all of the orders accepted and distribute the orders to each factory. Experimental studies reveal that the proposed planning system can efficiently estimate the cycle time and throughput for packaging process and can minimize the variation of cycle time given that the production target and capacity supply of each factory are different.
|Appears in Collections:||Thesis|