Skip to Main content Skip to Navigation
Conference papers

Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments

Abstract : With big data-technologies on the rise, new fields of application appear in terms of analyzing data to find new relationships for improving process understanding and stability. Manufacturing companies oftentimes cope with a high number of deviations but struggle to solve them with less effort. The research project BigPro aims to develop a methodology for implementing counter measures to disturbances and deviations derived from big data. This paper proposes a methodology for practitioners to assess predefined counter measures. It consists of a morphology with several criterions that can have a certain characteristic. Those are then combined with a weighting factor to assess the feasibility of the counter measure for prioritization.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01666167
Contributor : Hal Ifip <>
Submitted on : Monday, December 18, 2017 - 10:38:27 AM
Last modification on : Monday, July 8, 2019 - 3:30:02 PM

File

456370_1_En_53_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Volker Stich, Moritz Schröter, Felix Jordan, Lucas Wenger, Matthias Blum. Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. pp.449-456, ⟨10.1007/978-3-319-66923-6_53⟩. ⟨hal-01666167⟩

Share

Metrics

Record views

953

Files downloads

124