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International Conference on Intelligent Systems in Production Engineering and Maintenance

ISPEM 2017: Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 pp 324–335Cite as

Multivariate Process Capability, Process Validation and Risk Analytics Based on Product Characteristic Sets: Case Study Piston Rod

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 637))

Abstract

Manufacturing processes of technically complex products require highly standardised methods to fulfil technical and customer specifications. To accomplish the demanded specifications, various methods, which can be applied at different phases of the product life cycle, have been developed. One of these methods, within the manufacturing phase, is the process capability index (PCI). The determination of the PCI allows the visualisation of risk with one indicator and failure probability with regard to a manufacturing process. State-of-the-art is the univariate calculation of the PCI based on the analysis of one product characteristic. This paper outlines different approaches for the determination of multidimensional process capability indices (MPCI) based on a product characteristic set including symmetric and asymmetric product characteristic distribution models. The goal of the explained methods is the analysis of risks, the determination of risk indicator MPCI and failure probabilities with regard to complex manufacturing processes.

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Author information

Authors and Affiliations

  1. Chair of Reliability Engineering and Risk Analytics, University of Wuppertal, Gaussstrasse 20, 42119, Wuppertal, Germany

    Stefan Bracke & Bianca Backes

Authors
  1. Stefan Bracke
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  2. Bianca Backes
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Correspondence to Bianca Backes .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Centre for Advanced Manufacturing Technologies, Fraunhofer Project Center, Wrocław University of Technology, Wrocław, Poland

    Anna Burduk

  2. Lublin University of Technology, Lublin, Poland

    Dariusz Mazurkiewicz

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Bracke, S., Backes, B. (2018). Multivariate Process Capability, Process Validation and Risk Analytics Based on Product Characteristic Sets: Case Study Piston Rod. In: Burduk, A., Mazurkiewicz, D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-64465-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-64465-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64464-6

  • Online ISBN: 978-3-319-64465-3

  • eBook Packages: EngineeringEngineering (R0)

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