Abstract
In industrial practice, quality management for manufacturing processes is often based on process capability indices (PCI) like C p ,C pm ,C pk and C pmk . These indices measure the behavior of a process incorporating its statistical variability and location and provide a unitless quality measure. Unfortunately, PCIs are not able to identify those factors, having the major impact on quality as they are only based on measurement results and do not consider the explaining process parameters. In this paper an Operational Research approach, based on Branch and Bound is derived, which combines both, the numerical measurements and the nominal process factors. This combined approach allows to identify the main source for minor or superior quality of a manufacturing process.
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References
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Strobel, C.M., Hrycej, T. (2008). Root Cause Analysis for Quality Management. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (eds) Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78246-9_48
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DOI: https://doi.org/10.1007/978-3-540-78246-9_48
Publisher Name: Springer, Berlin, Heidelberg
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