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Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments

  • With big data-technologies on the rise, new fields of application appear in terms of analyzing data to find new relationships for improving process under-standing 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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Metadaten
Author:Volker StichORCiDGND, Moritz Schröter, Felix Jordan, Lucas Wenger, Matthias Blum
DOI:https://doi.org/10.1007/978-3-319-66923-6_53
ISBN:9783319669229
ISSN:1868-4238
Parent Title (English):Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing IFIP WG 5.7 International Conference, APMS 2017, Hamburg, Germany, September 3-7, 2017, Proceedings, Part I
Publisher:Springer
Place of publication:Cham
Editor:Hermann Lödding
Document Type:Conference Proceeding
Language:English
Year of Completion:2017
Date of first Publication:2017/08/31
Release Date:2024/04/30
Tag:BigPro; counter measures; disturbance management
First Page:449
Last Page:456
Note:
The BigPro project is funded by the German Federal Ministry of Edu-
cation and Research (Project number 01|S14011A-I), in the context of the operational program ICT 2020 – Research for Innovation. The project will end in November 2017.
FIR-Number:SV6845
Name of the conference:IFIP WG 5.7 International Conference (APMS 2017)
place of the conference:Hamburg
Date of the conference:03.09.2017-07.09.2017
Institute / Department:FIR e. V. an der RWTH Aachen
Informationsmanagement
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften

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