Multi-view FMEA Re-validation: Efficient Risk and Engineering Knowledge Integration in Agile Production Systems Engineering

Felix Rinker*, Sebastian Kropatschek, Thorsten Steuer, Elmar Kiesling, Kristof Meixner, Laura Waltersdorfer, Patrik Sommer, Arndt Lüder, Dietmar Winkler, Stefan Biffl

*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

In agile Production Systems Engineering (PSE), multi-disciplinary teams work concurrently on various PSE artifacts in an iterative process that can be supported by common concept and Product-Process-Resource (PPR) modeling. However, keeping track of the interactions and effects of changes across engineering disciplines and their implications for risk assessment is exceedingly difficult in such settings. To tackle this challenge and systematically co-evolve Failure Mode and Effects Analysis (FMEA) and PPR models during PSE, it is necessary to propagate and validate changes across engineering artifacts. To this end, we design and evaluate a FMEA-linked-to-PPR assets (FMEA+PPR) meta model to represent relationships between FMEA elements and PSE assets and trace their change states and dependencies in the design and validation lifecycle. Furthermore, we design and evaluate the FMEA+PPR method to efficiently re-validate FMEA models upon changes in multi-view PSE models. We evaluate the model and method in a feasibility study on the quality of a joining process automated by a robot cell in automotive PSE. The study results indicate that the FMEA+PPR method is feasible and addresses requirements for FMEA re-validation better than alternative traditional approaches. Thereby, the FMEA+PPR approach facilitates a paradigm shift from traditional, isolated PSE and FMEA activities towards an integrated agile PSE method.

OriginalspracheEnglisch
Titel des SammelwerksModel-Driven Engineering and Software Development - 9th International Conference, MODELSWARD 2021, and 10th International Conference, MODELSWARD 2022, Revised Selected Papers
Herausgeber*innenLuís Ferreira Pires, Slimane Hammoudi, Edwin Seidewitz
VerlagSpringer Science and Business Media Deutschland GmbH
Seiten60-83
Seitenumfang24
ISBN (Print)9783031388200
DOIs
PublikationsstatusVeröffentlicht - 2023
VeranstaltungModel-Driven Engineering and Software Development - 9th International Conference, MODELSWARD 2021, and 10th International Conference, MODELSWARD 2022, Revised Selected Papers - Virtual, Online
Dauer: 6 Feb. 20228 Feb. 2022

Publikationsreihe

ReiheCommunications in Computer and Information Science
Band1708 CCIS
ISSN1865-0929

Konferenz

KonferenzModel-Driven Engineering and Software Development - 9th International Conference, MODELSWARD 2021, and 10th International Conference, MODELSWARD 2022, Revised Selected Papers
OrtVirtual, Online
Zeitraum6/02/228/02/22

Bibliographische Notiz

Publisher Copyright:
© 2023, Springer Nature Switzerland AG.

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