Process capability: A New Criterion for Loss Function–Based Quality Improvement
Response surface methodology (RSM) – the method most preferred by quality engineers – is a natural and effective tool to achieve the desired process quality. Most of the current literature on process quality does not focus on information relating to how much better or worse a process is and also the...
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Suleyman Demirel University
2018-10-01
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Online Access: | http://dergipark.org.tr/sdufenbed/issue/39695/470090?publisher=sdu-1 |
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doaj-8b5ae66ad91a443e864b6989525862452020-11-24T21:35:57ZengSuleyman Demirel UniversitySüleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi1308-65292018-10-01224704771113Process capability: A New Criterion for Loss Function–Based Quality ImprovementMelis ZEYBEKResponse surface methodology (RSM) – the method most preferred by quality engineers – is a natural and effective tool to achieve the desired process quality. Most of the current literature on process quality does not focus on information relating to how much better or worse a process is and also the degree of the process performance. On the other hand, although the process performance criteria are able to predict process capability, they cannot provide significant information relating to the process quality in terms of rate of rejects and losses. Therefore, this paper takes into account these two concepts and defines a criterion based on the process capability indices for the upside-down normal loss function (UDNLF). The proposed approach determines the optimal settings of a given process by minimizing the expected UDNLF which is defined in terms of and indices. The proposed procedure and its merits are illustrated on the basis of an example.http://dergipark.org.tr/sdufenbed/issue/39695/470090?publisher=sdu-1Robust designResponse surface methodology; Loss function; Process capability indices |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melis ZEYBEK |
spellingShingle |
Melis ZEYBEK Process capability: A New Criterion for Loss Function–Based Quality Improvement Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Robust design Response surface methodology; Loss function; Process capability indices |
author_facet |
Melis ZEYBEK |
author_sort |
Melis ZEYBEK |
title |
Process capability: A New Criterion for Loss Function–Based Quality Improvement |
title_short |
Process capability: A New Criterion for Loss Function–Based Quality Improvement |
title_full |
Process capability: A New Criterion for Loss Function–Based Quality Improvement |
title_fullStr |
Process capability: A New Criterion for Loss Function–Based Quality Improvement |
title_full_unstemmed |
Process capability: A New Criterion for Loss Function–Based Quality Improvement |
title_sort |
process capability: a new criterion for loss function–based quality improvement |
publisher |
Suleyman Demirel University |
series |
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
issn |
1308-6529 |
publishDate |
2018-10-01 |
description |
Response surface methodology (RSM) – the method most preferred by quality engineers – is a natural and effective tool to achieve the desired process quality. Most of the current literature on process quality does not focus on information relating to how much better or worse a process is and also the degree of the process performance. On the other hand, although the process performance criteria are able to predict process capability, they cannot provide significant information relating to the process quality in terms of rate of rejects and losses. Therefore, this paper takes into account these two concepts and defines a criterion based on the process capability indices for the upside-down normal loss function (UDNLF). The proposed approach determines the optimal settings of a given process by minimizing the expected UDNLF which is defined in terms of and indices. The proposed procedure and its merits are illustrated on the basis of an example. |
topic |
Robust design Response surface methodology; Loss function; Process capability indices |
url |
http://dergipark.org.tr/sdufenbed/issue/39695/470090?publisher=sdu-1 |
work_keys_str_mv |
AT meliszeybek processcapabilityanewcriterionforlossfunctionbasedqualityimprovement |
_version_ |
1725943168000589824 |