Applying quality assurance concepts from software development to simulation model assessment in smart equipment

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Abstract

Smart equipment as a cyber-physical system can be envisioned to support
owner/operators with model-based assistance systems. In fluctuating process scenarios, which are expected within modular plants, frequent adaptation of the required simulation models to changing conditions will be necessary. Therefore, automated functional quality assessment for simulation models would provide a significant added value for the owner/operator. Currently, quality assessment of simulation models is dominated by the verification and validation methods developed by Sargent and co-authors (Sargent and Balci, 2017). Although these methods provide a wide spectrum of assessment methods, they base on a rather narrow view on quality of simulation models. In addition, quality and quality advancement are typically not measured continuously. To overcome these obstacles, the authors discuss the applicability of central quality assurance methods from the field of software development to simulation model assessment. These are the principle of test-driven development and the application of quality models to measure quality and quality advancement. A framework and a workflow for test-driven development of simulation models are proposed and evaluated in a case study on a soft sensor for a fermentation process. It was found, that in principle, the framework provides transparent and continuous quality assessment in a semi-automated manner and lays the foundation for guidance strategies during model development.

Mädler, J., Viedt, I., & Urbas, L. (2021). Applying quality assurance concepts from software development to simulation model assessment in smart equipment. In Computer Aided Chemical Engineering (Vol. 50, pp. 813-818). Elsevier.

Details

Original languageEnglish
Title of host publication31st European Symposium on Computer Aided Process Engineering
EditorsMetin Türkay, Rafiqul Gani
PublisherElsevier Science B.V.
Pages813-818
Number of pages6
ISBN (print)9780323983266
Publication statusPublished - Jan 2021
Peer-reviewedYes

Conference

Title31st European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE-31
Conference number31
Duration6 June 2021 - 9 March 2022
Degree of recognitionInternational event
CityIsanbul
CountryTurkey

External IDs

ORCID /0000-0002-5814-5128/work/142242020
ORCID /0000-0001-5165-4459/work/142248236
ORCID /0000-0001-7012-5966/work/142253158
Scopus 85110305819
Mendeley 120f8f46-416f-3673-a27c-f49de8a6b6cf

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

  • Smart equipment, quality assessment, soft sensor, validation, smart equipment