Industry 4.0 Asset-based Risk Mitigation for Production Operation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00354552" target="_blank" >RIV/68407700:21730/21:00354552 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1109/CASE49439.2021.9551419" target="_blank" >https://doi.org/10.1109/CASE49439.2021.9551419</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CASE49439.2021.9551419" target="_blank" >10.1109/CASE49439.2021.9551419</a>

Result language

angličtina

Original language name

Industry 4.0 Asset-based Risk Mitigation for Production Operation

Original language description

During engineering and operation of flexible robot-based production systems meeting the Industry 4.0 (I40) paradigm, engineers require guidance to analyze and resolve issues that may disturb the production process. Challenging issues stem from causes in several heterogeneous engineering disciplines. Unfortunately, current risk mitigation guidelines frequently focus on isolated components and not on risks of the entire system. This fragmented guidance is hard to apply for engineers who are not aware of existing dependencies between components of different types. Therefore, risks in the engineering and operation of I40 components are hard to identify and mitigate. In this paper, we propose the Industry 4.0 Asset-based Risk Mitigation (I4ARM) approach, providing knowledge for efficient root cause analysis to non-experts based on (a) a minimal model for knowledge representation as an I40 asset network with cause-effect annotations and (b) the I4ARM method for model building and risk mitigation with structured guidance. We build on the I40 asset network concept, cause-effect analysis, and decision trees to enable efficient and effective risk mitigation with structured guidance. I4ARM facilitates for engineers (a) defining an Industry 4.0 asset network and relationships, (b) identifying risks, and (c) supporting risk mitigation. We conceptually evaluate I4ARM for a real-world I40 use case. The results showed that the I40 Asset Network with cause-effect relationships and decision trees is usable and useful both for experienced and novice engineers to efficiently and systematically mitigate risks in I40 environments.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

ISBN

978-1-6654-1873-7

ISSN

2161-8070

e-ISSN

2161-8089

Number of pages

8

Pages from-to

278-285

Publisher name

IEEE Industrial Electronic Society

Place of publication

Vienna

Event location

Lyon

Event date

Aug 23, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000878693200036