A Complementary Application of Univariate Process Capability Indices  
Author Denwick Munjeri


Co-Author(s) Panlop Zeephongsekul; Lasitha S. Dharmasena


Abstract In order to measure the performance of manufacturing processes, several process capability indices (PCIs) have been proposed. These indices have since helped practitioners understand and improve their production systems but no single index can fully measure the performance of any observed process. Each index has its own drawbacks which can be complemented by using others. Some indices can give the impression that the process is capable but another could indicate that the same process is not capable. Besides just knowing whether the process is indeed capable or not, in this paper, we take advantage of the merits of the available indices. We come up with a guideline which can give the practitioner a measure of performance of the production process and clearly show what needs to be addressed for the process to be more consistent.


Keywords Process Capability, Statistical process control, Process Centering, Process Potential, Symmetric Tolerance
    Article #:  22294
Proceedings of the 22nd ISSAT International Conference on Reliability and Quality in Design
August 4-6, 2016 - Los Angeles, California, U.S.A.