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Production Engineering
Erschienen in: Production Engineering 2/2020

03.12.2019 | Production Process

A comparison of some modified confidence intervals based on robust scale estimators for process capability index

verfasst von: Moustafa Omar Ahmed Abu-Shawiesh, Shipra Banik, B. M. Golam Kibria, Hayriye Esra Akyüz

Erschienen in: Production Engineering | Ausgabe 2/2020

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Abstract

This paper aims to compare the performances of modified confidence intervals based on robust scale estimators with classical confidence interval for process capability index (Cp) when the process has a non-normal distribution. The estimated coverage probability and the average width of the confidence intervals were obtained by a Monte-Carlo simulation under different scenarios. Simulation results showed that the modified confidence intervals performed well in terms of coverage probability and average width for all cases. Two real-life numerical examples from industry are analyzed to illustrate the performance and the implementation of the classical and modified confidence intervals for the process capability index (Cp) which also supported the results of the simulation study to some extent.
Vorheriger Artikel Continuous modelling of machine tool failure durations for improved production scheduling
Nächster Artikel Contact pressure, slip-rate, and temperature dependent friction analysis regarding damage free deep drawing of stainless steel

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Metadaten
Titel
A comparison of some modified confidence intervals based on robust scale estimators for process capability index
verfasst von
Moustafa Omar Ahmed Abu-Shawiesh
Shipra Banik
B. M. Golam Kibria
Hayriye Esra Akyüz
Publikationsdatum
03.12.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Production Engineering / Ausgabe 2/2020
Print ISSN: 0944-6524
Elektronische ISSN: 1863-7353
DOI
https://doi.org/10.1007/s11740-019-00939-7

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