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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.
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Submitted on : Monday, December 18, 2017 - 10:38:27 AM
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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⟩



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