Copula-based decision support system for quality ranking in the manufacturing of electronically commutated motors
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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.
KeywordsDecision support system Copula-based regression EC motors Quality assessment
The research of the first author was supported by Ad Futura Programme of the Slovene Human Resources and Scholarship Fund. We also like to acknowledge the support of the Slovenian Research Agency through Research Programmes J2-2353, P2-0001 and L2-4160. The work was partly done in the frame of the Competence Centre for Advance Control Technologies. Operation is partly financed by the Republic of Slovenia, Ministry of Higher Education, Science and Technology and European Union (EU)—European Regional Development Fund within the Operational Programme for Strengthening Regional Development Potentials for Period 2007–2013.
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