Wet-etch sequence optimisation incorporating time dependent chemical maintenance

B. D. Kruif
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Abstract

Wafer fabrication is the major cost contributor in semiconductor manufacturing. One of the steps in the fabrication is the removal of exposed layers in an automatic wet-etch station with chemicals. In time, these chemicals get polluted and their effectiveness decreases. Therefore, the chemicals in these baths need to be renewed or maintained on a regular basis. This can be required after a fixed number of processed wafers, or after a specified period of time. It has been observed in the factory that the wet-etch station can get completely blocked when one of the baths goes into maintenance. This happens when the first batch in queue needs the bath maintained. All subsequent batches then have to wait and the tool is blocked. Placing a different batch in the load lock might have prevented this blockage. In this paper we investigate the influence of the sequence of the batches inserted on the total processing time, when time dependent maintenance is incorporated. In order to do this, a detailed model is constructed based on an actual wet-etch tool. The model parameters were tuned to the values of the actual tool and it was verified that the resulting behaviour was correct. Based on this model a (sub)optimal sequence was constructed. Three sequences were considered: i) an arbitrary sequence, ii) an optimised sequence without considering the time-dependent behaviour of the maintenance, and iii) an optimised sequence with the time-dependent behaviour. It was found that the mean processing time could decrease with about 10% when the time dependent maintenance was incorporated, in comparison with the original, arbitrary, sequence. When a (sub)optimal sequence was constructed without incorporating the time-dependent maintenance, a mean decrease of 4% was realised. This shows that the time-dependent maintenance plays an important role in the total processing time and should be incorporated in the optimisation.
湿蚀刻序列优化结合时间依赖的化学维护
晶圆制造是半导体制造的主要成本来源。制造的一个步骤是在自动湿蚀刻站用化学品去除暴露的层。随着时间的推移,这些化学物质受到污染,其有效性下降。因此,这些浴池中的化学物质需要定期更新或维护。这可以在处理了固定数量的晶圆后,或在指定的时间后要求。在工厂中观察到,当其中一个浴槽进入维护时,湿蚀刻站可能会完全堵塞。当队列中的第一批需要维护浴池时,就会发生这种情况。然后,所有后续批次都必须等待,并且工具被阻塞。在装载锁中放置不同的批次可能会防止这种堵塞。本文研究了考虑时间依赖维修时,插入批次顺序对总加工时间的影响。为了做到这一点,一个详细的模型是基于实际湿蚀刻工具构建的。模型参数调整到实际工具的值,并验证了结果行为是正确的。在此基础上构造了一个(次)最优序列。考虑了三个序列:i)任意序列,ii)不考虑维护的时间依赖行为的优化序列,以及iii)具有时间依赖行为的优化序列。研究发现,与原始任意序列相比,加入时间相关维护后,平均处理时间可减少约10%。当构建一个(次)最优序列而不考虑与时间相关的维护时,实现了平均减少4%。这表明,时间依赖性维护在总处理时间中起着重要作用,应纳入优化。
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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