A Framework for Safety-Critical Process Management in Engineering Projects View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Saimir Bala , Cristina Cabanillas , Alois Haselböck , Giray Havur , Jan Mendling , Axel Polleres , Simon Sperl , Simon Steyskal

ABSTRACT

Complex technical systems, industrial systems or infrastructure systems are rich of customizable features and raise high demands on quality and safety-critical aspects. To create complete, valid and reliable planning and customization process data for a product deployment, an overarching engineering process is crucial for the successful completion of a project. In this paper, we introduce a framework for process management in complex engineering projects which are subject to a large amount of constraints and make use of heterogeneous data sources. In addition, we propose solutions for the framework components and describe a proof-of-concept implementation of the framework as an extension of a well-known BPMS. More... »

PAGES

1-27

References to SciGraph publications

Book

TITLE

Data-Driven Process Discovery and Analysis

ISBN

978-3-319-53434-3
978-3-319-53435-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-53435-0_1

DOI

http://dx.doi.org/10.1007/978-3-319-53435-0_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1074228147


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