Process Capability Analysis Considering Asymmetric Tolerance

Bachelor thesis (2021)

Authors

L. Krudde Electrical Engineering, Mathematics and Computer Science

Contributors

P. Chen Statistics - EEMCS (mentor)
A. Cipriani Applied Probability - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Laurens Krudde
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Published Date

23-07-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The classical process capability indices are still the most prominently used by practitioners for asymmetrical tolerances even while not accurately reflecting on process capability. It appears that an adequate measure of capability for asymmetrical tolerances is yet to be discovered. This report formulates a list of five desirable PCI properties and explores some proposed indices developed for asymmetrical tolerances by comparing them to the properties. As none of the discussed indices satisfy all properties, four new proposals are made that improve upon existing indices. The new indices are related to process yield and centering, and compared to the existing indices. Further research is required to determine whether the new proposals are to be used in practice, but for now they serve as a source of inspiration in the development of PCIs for asymmetric tolerances.

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