Arbeitspapier
Uncertainty of the optimum influence factor levels in multicriteria optimization using the concept of desirability
The Desirability Index (DI) is a widely used method for multicriteria optimization in industrial quality control, by which optimal levels of the process influencing factors are determined in order to archieve maximum process quality. In practice however situations may occur in which slight changes of these factor levels lead to lower production costs or to facilitation of the production process and therefore would be preferred. In this paper an innovative approach for measuring the effect of these changes on the DI based on its distribution is introduced.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2004,23
- Subject
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Multikriteria-Verfahren
Qualitätsmanagement
Theorie
- Event
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Geistige Schöpfung
- (who)
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Trautmann, Heike
Weihs, Claus
- Event
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Veröffentlichung
- (who)
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Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
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Dortmund
- (when)
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2004
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Trautmann, Heike
- Weihs, Claus
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2004
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Standardizing the comparison of partitions
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Clustering techniques for the detection of business cycles
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Pareto-Optimality and Desirability Indices
Ensuring an efficient turning process by means of desirability index optimization for correlated quality criteria
Standardizing the comparison of partitions
A note on the behaviour of the process capability index Cpmk with asymmetric specification limits
A note on the behaviour of the process capability index C_pmk with asymmetric specification limits
Clustering techniques for the detection of business cycles
A Note on the Dimension of the Projection Space in a Latent Factor Regression Model with Application to Business Cycle Classification
Univariate characterization of the German business cycle 1955-1994
The capacity constrained mining firm under various tax regimes
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