TY  - CONF
A1  - Stich, Volker
A1  - Schröter, Moritz
A1  - Jordan, Felix
A1  - Wenger, Lucas
A1  - Blum, Matthias
A2  - Lödding, Hermann
T1  - Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments
T2  - 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
N2  - 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.
KW  - BigPro
KW  - counter measures
KW  - disturbance management
Y1  - 2017
UR  - https://epub.fir.de/frontdoor/index/index/docId/2979
SN  - 9783319669229
SN  - 1868-4238
N1  - 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.
SP  - 449
EP  - 456
PB  - Springer
CY  - Cham
ER  -