Title :
Application of non-normal process capability indices to semiconductor quality control
Author :
Bittanti, Sergio ; Lovera, Marco ; Moiraghi, Luca
Author_Institution :
Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
fDate :
5/1/1998 12:00:00 AM
Abstract :
The definition and estimation of process capability indices are usually based on the assumption that the production process under investigation is characterized by a normal distribution; however, the case of nonnormal processes occurs frequently in practice, as, for example, in the semiconductor industry. This paper addresses the problem of defining and computing reliable estimates for process capability indices (and particularly for Cpk) for nonnormal processes; in particular, a curve-fitting approach to the estimation problem is taken and the problem of providing confidence intervals for the estimates of PCI´s is considered. Finally, some application examples are also presented
Keywords :
curve fitting; estimation theory; integrated circuit manufacture; quality control; semiconductor device manufacture; statistical process control; Cpk; SPC; confidence intervals; curve-fitting approach; estimation problem; nonnormal process capability indices; nonnormal processes; production process; semiconductor quality control; Curve fitting; Electronics industry; Gaussian distribution; Industrial control; Joining materials; Monitoring; Process control; Production; Quality control; Statistical distributions;
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on