Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments

Volker Stich (1) , Moritz Schröter (1) , Felix Jordan (1) , Lucas Wenger (1) , Matthias Blum (1)

1 FIR e.V. an der RWTH Aachen - Institute for Industrial Management [RWTH Aachen University]

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.

Mots clés: Counter measures; Deviations; Disturbance management

Domaines: Informatique [cs]

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⟩