Quality evaluation model using loss function for multiple S-type quality characteristics
Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chan, W.M. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2004 |
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| Schlagwörter: |
Multivariate quality loss function |
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| Anmerkung: |
© Springer-Verlag 2004 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer-Verlag, 1985, 26(2004), 1-2 vom: 07. Apr., Seite 98-101 |
|---|---|
| Übergeordnetes Werk: |
volume:26 ; year:2004 ; number:1-2 ; day:07 ; month:04 ; pages:98-101 |
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10.1007/s00170-003-1980-8 |
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| 520 | |a Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. | ||
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10.1007/s00170-003-1980-8 doi (DE-627)OLC2026002185 (DE-He213)s00170-003-1980-8-p DE-627 ger DE-627 rakwb eng 670 VZ Chan, W.M. verfasserin aut Quality evaluation model using loss function for multiple S-type quality characteristics 2004 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2004 Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. Multivariate quality loss function Nominal-the-best characteristic Product quality Smaller-the-better characteristic Ibrahim, R.N. aut Lochert, P.B. aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 26(2004), 1-2 vom: 07. Apr., Seite 98-101 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:26 year:2004 number:1-2 day:07 month:04 pages:98-101 https://doi.org/10.1007/s00170-003-1980-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 26 2004 1-2 07 04 98-101 |
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10.1007/s00170-003-1980-8 doi (DE-627)OLC2026002185 (DE-He213)s00170-003-1980-8-p DE-627 ger DE-627 rakwb eng 670 VZ Chan, W.M. verfasserin aut Quality evaluation model using loss function for multiple S-type quality characteristics 2004 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2004 Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. Multivariate quality loss function Nominal-the-best characteristic Product quality Smaller-the-better characteristic Ibrahim, R.N. aut Lochert, P.B. aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 26(2004), 1-2 vom: 07. Apr., Seite 98-101 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:26 year:2004 number:1-2 day:07 month:04 pages:98-101 https://doi.org/10.1007/s00170-003-1980-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 26 2004 1-2 07 04 98-101 |
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10.1007/s00170-003-1980-8 doi (DE-627)OLC2026002185 (DE-He213)s00170-003-1980-8-p DE-627 ger DE-627 rakwb eng 670 VZ Chan, W.M. verfasserin aut Quality evaluation model using loss function for multiple S-type quality characteristics 2004 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2004 Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. Multivariate quality loss function Nominal-the-best characteristic Product quality Smaller-the-better characteristic Ibrahim, R.N. aut Lochert, P.B. aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 26(2004), 1-2 vom: 07. Apr., Seite 98-101 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:26 year:2004 number:1-2 day:07 month:04 pages:98-101 https://doi.org/10.1007/s00170-003-1980-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 26 2004 1-2 07 04 98-101 |
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10.1007/s00170-003-1980-8 doi (DE-627)OLC2026002185 (DE-He213)s00170-003-1980-8-p DE-627 ger DE-627 rakwb eng 670 VZ Chan, W.M. verfasserin aut Quality evaluation model using loss function for multiple S-type quality characteristics 2004 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2004 Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. Multivariate quality loss function Nominal-the-best characteristic Product quality Smaller-the-better characteristic Ibrahim, R.N. aut Lochert, P.B. aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 26(2004), 1-2 vom: 07. Apr., Seite 98-101 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:26 year:2004 number:1-2 day:07 month:04 pages:98-101 https://doi.org/10.1007/s00170-003-1980-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 26 2004 1-2 07 04 98-101 |
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10.1007/s00170-003-1980-8 doi (DE-627)OLC2026002185 (DE-He213)s00170-003-1980-8-p DE-627 ger DE-627 rakwb eng 670 VZ Chan, W.M. verfasserin aut Quality evaluation model using loss function for multiple S-type quality characteristics 2004 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2004 Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. Multivariate quality loss function Nominal-the-best characteristic Product quality Smaller-the-better characteristic Ibrahim, R.N. aut Lochert, P.B. aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 26(2004), 1-2 vom: 07. Apr., Seite 98-101 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:26 year:2004 number:1-2 day:07 month:04 pages:98-101 https://doi.org/10.1007/s00170-003-1980-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 26 2004 1-2 07 04 98-101 |
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Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. © Springer-Verlag 2004 |
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Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. © Springer-Verlag 2004 |
| abstract_unstemmed |
Abstract Most of the studies of quality system or product-quality assessment deal with a single quality characteristic to determine the quality loss. Products are often assessed on more than one quality characteristic. For this reason, different multivariate quality loss functions have been proposed. However, these loss functions only consider the nominal-the-best quality characteristics (N-type); they do not consider the condition when the quality characteristics are of the smaller-the-better (S-type). In this article, we present a quality evaluation model using loss function for multiple S-type quality characteristics. A numerical example is illustrated showing that using inappropriate loss functions will lead to inaccurate results that give either an underestimate or overestimate of the expected quality costs. © Springer-Verlag 2004 |
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Quality evaluation model using loss function for multiple S-type quality characteristics |
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Ibrahim, R.N. Lochert, P.B. |
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