Gittler, Thomas and Relea, Eduard and Corti, Donatella and Corani, Giorgio and Weiss, Lukas and Cannizzaro, Daniele and Wegener, Konrad (2019) Towards predictive quality management in assembly systems with low quality low quantity data – a methodological approach. In: 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018, Gulf of Naples, Italy 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018, Naple.
Full text not available from this repository.Abstract
Intervention costs in machine assembly increase rapidly with assembly progress. For early interventions, multivariate control charts or predictive quality management systems can be installed, yet they require large and high-quality datasets. In discrete manufacturing, data is limited by the quantity produced, making it cumbersome to obtain the required quantity for statistical modeling. In this study, a methodology for the setup of predictive quality management systems is presented. It demonstrates strategies for low-quality low-quantity datasets in discrete production. The boundary conditions of the assembly system, the process requirements, and the combination of physical and statistical modeling via feature engineering are highlighted.
| Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
|---|---|
| Subjects: | Engineering > Production & manufacturing engineering > Quality assurance engineering Engineering > Production & manufacturing engineering > Production & manufacturing engineering not elsewhere classified |
| Department/unit: | Dipartimento tecnologie innovative > Istituto sistemi e tecnologie per la produzione sostenibile |
| Depositing User: | Donatella Corti |
| Date Deposited: | 18 Dec 2019 07:53 |
| Last Modified: | 18 Dec 2019 07:53 |
| URI: | http://repository.supsi.ch/id/eprint/11360 |
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