Empirical Relationship between Cycle time Impact and Batching on Furnaces in Semiconductor Foundry

Nivedha Rajasekaran, Vikram Arjunwadkar, Richard F. Man
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引用次数: 1

Abstract

Semiconductor manufacturing (fab) is a highly complex, cost intensive and competitive industry. For a fab, batch factor for furnace tools is a key fab performance metric for capacity and cycle time assessment. Batch production is one of the manufacturing methods where, a group of wafers can be processed together in a batch in a given timeframe. Furnace tools have the ability to batch the wafers together. In this paper, we propose to establish the relationship between batch factor and cycle time to calculate the optimal batch factor within the permissible limits of cycle time. Most furnace tools need to wait for the same kind of wafers to improve its batch factor. Thus, to achieve large batch factor, the cycle time of the WIP at these furnace tools inadvertently becomes high. This creates a need to know how high batch factor can increase without adversely affecting the cycle time and help in making optimized batching decisions.
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半导体铸造厂炉内循环时间影响与配料的经验关系
半导体制造(fab)是一个高度复杂、成本密集和竞争激烈的行业。对于晶圆厂来说,炉具的批量系数是评估产能和周期时间的关键性能指标。批量生产是一种制造方法,其中一组晶圆可以在给定的时间内一起批量加工。熔炉工具有能力将晶圆片批在一起。本文提出建立批因子与周期时间之间的关系,在允许的周期时间范围内计算出最优的批因子。大多数炉具需要等待相同类型的晶圆,以提高其批量因数。因此,为了实现大的批量系数,这些熔炉工具的在制品周期时间无意中变得很高。这就需要知道在不影响周期时间的情况下可以增加多高的批处理因子,并有助于做出优化的批处理决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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