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Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 2/2015

01.04.2015

Copula-based decision support system for quality ranking in the manufacturing of electronically commutated motors

verfasst von: Biljana Mileva Boshkoska, Marko Bohanec, Pavle Boškoski, Ðani Juričić

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 2/2015

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Abstract

Quality ranking of finished products plays an important role in manufacturing systems. In this paper, we address the problem of quality ranking of electronically commutated (EC) motors by subjecting each finished product to a short measurement session. Based on the features calculated from these measurements, the motor quality is assessed by introducing a novel copula-based decision support system (DSS). The proposed DSS provides a full ranking of EC motors by integrating expert’s preferences and company’s quality standards. This approach overcomes the shortcomings of the traditional regression models, such as partial ranking and inconsistent evaluations with the expert’s expectations. We demonstrate the effectiveness of the proposed DSS on a test batch of 840 EC motors.
Vorheriger Artikel Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule
Nächster Artikel Optimization of drilling parameters using Taguchi technique and response surface methodology (RSM) in drilling of AISI 304 steel with cryogenically treated HSS drills

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Fußnoten
1
Despite \(A_i\in \mathbb{Z }\), the function \(g(A_1,\ldots ,A_n)\) is defined in \(\mathbb{R }^n\).
 
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Metadaten
Titel
Copula-based decision support system for quality ranking in the manufacturing of electronically commutated motors
verfasst von
Biljana Mileva Boshkoska
Marko Bohanec
Pavle Boškoski
Ðani Juričić
Publikationsdatum
01.04.2015
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 2/2015
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-013-0781-7

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