Kooperationspartner
Egger Holzwerkstoffe GmbH & Co. KG

Egger Holzwerkstoffe GmbH & Co. KG
D-23970 Wismar

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Data-supported vulnerability analysis

Goal

In the course of this project, a standardised procedure for a data-supported vulnerability analysis is being developed together with the EGGER project team, in which data-analytical approaches are combined with classic problem-solving methods. A standardised procedure leads to a reduction in plant downtimes and thus to a sustainable increase in plant availability by uncovering potential in sensor technology, increased process understanding and more efficient root cause identification.

Benefit

What is new in this project is the maturity-dependent approach, which ensures that a standardised procedure is developed for Egger regardless of the quality of the data. For this purpose, a subdivision into a descriptive, diagnostic and predictive approach to SSA is made in advance. In the diagnostic maturity level, for example, it is possible to use initial data mining methods such as association analysis to support the determination of causes, while the descriptive maturity level still favours classic problem-solving methods (e.g. Ishikawa diagram). The aim of the project is also to ensure that the procedure developed together with Egger can be used independently by the employees on site following the project - without having to call on the external support of a data analyst.

Project content

EGGER Holzwerkstoffe GmbH owns and operates over 40 plants for coating wood-based panels worldwide. At a site with three of these coating plants, there is great pressure to fulfil orders and at the same time potential to increase efficiency. Systematic weak point analysis (SSA) is a key tool for increasing efficiency and effectiveness in terms of sustainable plant improvement:

 

Data-supported vulnerability analysis

While the operational level (e.g. maintenance staff) is responsible for identifying, eliminating and documenting the damage as well as determining the cause and deriving, implementing and documenting the measures, the strategic-operational level (e.g. maintenance management) is responsible for identifying the weak point (technical or organisational), analysing the damage and causes and, in coordination with the various departments involved, determining the benefits of the measures derived, prioritising them and checking the effectiveness of the measures implemented.


As can be seen from the double arrows in the diagram, a continuous exchange of information (monetary and non-monetary) between the operational and strategic-operational levels is absolutely essential for a successful vulnerability analysis process in all steps.


Contact person

Dipl.-Ing. Florian Kaiser   |   +43 (0) 3842 402 6016   |   florian.kaiser(at)unileoben.ac.at

 



Weiterführende Literatur
  • Biedermann, H. (2017): Lean Smart Maintenance Controlling: The weak point analysis as a central element in the maintenance management system. In: Biedermann, H. (ed.): Success through Lean Smart Maintenance: Building Blocks and Paths of Change: 31st Maintenance Forum. Cologne: TÜV Media. ISBN 978-3-7406-0243-7, PP. 23-36.
  • Bernerstätter, R.; Kühnast, R. (2017): Vulnerability analysis to ensure the ability to act in complex systems. In: Biedermann, H. (ed.): Success through Lean Smart Maintenance: Building Blocks and Paths of Change: 31st Maintenance Forum. Cologne: TÜV Media. ISBN 978-3-7406-0243-7, PP. 163-184.
  • Bernerstätter, R.; Kühnast, R. (2019): Data Maturity Assessment - Evaluating the maturity of data management for smart maintenance. In: BHM Berg- und Hüttenmännische Monatshefte, Vol. 164, No. 1, pp. 21-25.