MANUFACTURING CAPABILITY ASSURANCE FOR PRODUCT WITH MULTIPLE CHARCTERISICS: A CASE STUDY APPLIED TO LOW DROPOUT VOLTAGE REGULATOR
DOI:
https://doi.org/10.23055/ijietap.2006.13.1.421Keywords:
MPCAC, process capability indices, lower confidence bound, multiple characteristics, process yieldAbstract
Huang et a1. (2002) proposed a multi-process capability analysis chart (MPCAC) based on process capability indices S pk '
C pi' and Cpu to evaluate the integrated process capability for the entire product with the nominal-the-best, the larger-thebetter,
and the smaller-the-better characteristics. The MPCAC conveys critical information of multiple characteristics of the
entire product regarding the process accuracy, the process precision, and the process capability zones from one single chart,
which is an effective tool for evaluating product quality. However, from a practical perspective, the MPCAC chart did not
consider sampling errors hence the capability information provided from this chart is often unreliable and misleading. In
this paper, a manufacturing application involving multiple characteristics of low dropout voltage regulator (LDOVR) is
investigated. We consider the sampling error by obtaining the lower confidence bounds (LCBs) of S pk ' Cpl ' and Cpu' In
order to exactly measure the degree of process centering, the LCB of the accuracy index Cn is also considered in this
MPCAC. The LCB presents the minimum true capability of the process, which is essential to product capability assurance.
We employ the LCBs to MPCAC to provide more reasonably reliable capability assurance for the product with
mUltiple characteristics.
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