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Efficient job-release plan development for semiconductor assembly and testing in GA

机译:在GA中为半导体组装和测试制定有效的职位发布计划

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Taiwan's semiconductor integrated circuit (IC) industry plays an important role in the world and has maintained a major market share, especially, in the business of IC's packaging and testing. In the past, many studies have discussed job-release models for upstream IC manufacturing, but few emphasize on the IC turnkey factory, which including IC assembly and testing operations. In this paper, a job-release strategy for an IC turnkey factory with known assembly cycle time will be proposed. Concerning objectives under limited-capacity resources are (1) increasing the overall equipment efficiency (OEE) of IC test equipments, (2) reducing the fabrication cycle time, and (3) increasing the on-time delivery (OTD) rate. A genetic algorithm (GA) is applied to obtain an efficient job-release plan based on the data of an IC turnkey factory in Taiwan.
机译:台湾的半导体集成电路产业在世界上起着重要的作用,并保持了主要的市场份额,特别是在IC的封装和测试业务中。过去,许多研究都讨论了上游IC制造的工作释放模型,但很少强调IC交钥匙工厂,包括IC组装和测试操作。在本文中,将提出具有已知装配周期时间的IC交钥匙工厂的工作释放策略。关于容量有限资源下的目标,是(1)提高IC测试设备的整体设备效率(OEE),(2)减少制造周期时间,以及(3)提高按时交货(OTD)率。应用遗传算法(GA)根据台湾一家IC交钥匙工厂的数据来获得有效的工作释放计划。

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