A multivariate process capability index that complies with industry requirements

David De-Felipe; Tobias Klee; Jens Folmer; Birgit Vogel-Heuser; Ernest Benedito

doi:10.1109/IECON.2016.7793509

A multivariate process capability index that complies with industry requirements

David De-Felipe, Tobias Klee, Jens Folmer, Birgit Vogel-Heuser, Ernest Benedito

Chair of Automation and Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Process capability indices (PCIs) are widely used in production processes in order to evaluate the product quality. Taking into account the benefits of these quality indices, six requirements that a PCI must achieve within production processes are proposed by the authors. According to the current industry requirements, the existing PCIs have limitations. Hence, a new multivariate process capability index (MPCI) is proposed. The proposed MPCI (which complies with all proposed requirements) is compared to other MPCIs from the literature and is validated in a German luxury automobile manufacturing company.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	4601-4606
Number of pages	6
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7793509
State	Published - 21 Dec 2016
Event	42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Country/Territory	Italy
City	Florence
Period	24/10/16 → 27/10/16

Keywords

Covariance matrices
Distribution functions
Probability distribution
Process capability
Production control
Production engineering
Testing

Access to Document

10.1109/IECON.2016.7793509

Cite this

De-Felipe, D., Klee, T., Folmer, J., Vogel-Heuser, B., & Benedito, E. (2016). A multivariate process capability index that complies with industry requirements. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 4601-4606). Article 7793509 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793509

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title = "A multivariate process capability index that complies with industry requirements",

abstract = "Process capability indices (PCIs) are widely used in production processes in order to evaluate the product quality. Taking into account the benefits of these quality indices, six requirements that a PCI must achieve within production processes are proposed by the authors. According to the current industry requirements, the existing PCIs have limitations. Hence, a new multivariate process capability index (MPCI) is proposed. The proposed MPCI (which complies with all proposed requirements) is compared to other MPCIs from the literature and is validated in a German luxury automobile manufacturing company.",

keywords = "Covariance matrices, Distribution functions, Probability distribution, Process capability, Production control, Production engineering, Testing",

author = "David De-Felipe and Tobias Klee and Jens Folmer and Birgit Vogel-Heuser and Ernest Benedito",

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De-Felipe, D, Klee, T, Folmer, J, Vogel-Heuser, B & Benedito, E 2016, A multivariate process capability index that complies with industry requirements. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793509, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 4601-4606, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/16. https://doi.org/10.1109/IECON.2016.7793509

A multivariate process capability index that complies with industry requirements. / De-Felipe, David; Klee, Tobias; Folmer, Jens et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 4601-4606 7793509 (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Benedito, Ernest

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N2 - Process capability indices (PCIs) are widely used in production processes in order to evaluate the product quality. Taking into account the benefits of these quality indices, six requirements that a PCI must achieve within production processes are proposed by the authors. According to the current industry requirements, the existing PCIs have limitations. Hence, a new multivariate process capability index (MPCI) is proposed. The proposed MPCI (which complies with all proposed requirements) is compared to other MPCIs from the literature and is validated in a German luxury automobile manufacturing company.

AB - Process capability indices (PCIs) are widely used in production processes in order to evaluate the product quality. Taking into account the benefits of these quality indices, six requirements that a PCI must achieve within production processes are proposed by the authors. According to the current industry requirements, the existing PCIs have limitations. Hence, a new multivariate process capability index (MPCI) is proposed. The proposed MPCI (which complies with all proposed requirements) is compared to other MPCIs from the literature and is validated in a German luxury automobile manufacturing company.

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KW - Distribution functions

KW - Probability distribution

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KW - Production control

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KW - Testing

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De-Felipe D, Klee T, Folmer J, Vogel-Heuser B, Benedito E. A multivariate process capability index that complies with industry requirements. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 4601-4606. 7793509. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2016.7793509

A multivariate process capability index that complies with industry requirements

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Keywords

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