Process improvement using fuzzy robust process capability indices

Cengiz Kahraman*, Ihsan Kaya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Process performance can be analyzed by using process capability indices (PCIs) successfully. They are summary statistics to depict the process situation. PCIs have not reliable results if the process observations have correlation. In this paper, PCIs called Robust Process Capability Indices (RPCIs) are analyzed unlike traditional PCIs. Also specification limits and standard deviation are defined as fuzzy number. Fuzzy RPCIs are created for piston manufacturing process.

Original languageEnglish
Title of host publicationWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages355-360
Number of pages6
ISBN (Print)981279946X, 9789812799463
DOIs
Publication statusPublished - 2008
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain
Duration: 21 Sept 200824 Sept 2008

Publication series

NameWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
Country/TerritorySpain
CityMadrid
Period21/09/0824/09/08

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