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Towards Model-Based Performability Evaluation of Production Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8027-0611
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-2833-7196
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-9933-8532
2020 (English)In: Work-in-progress at IEEE International Conference on Emerging Technologies and Factory Automation WIP@ETFA, 2020, p. 1085-1088Conference paper, Published paper (Refereed)
Abstract [en]

Future smart factories will be increasingly required to predict expected performance and dependability metrics related to their production processes. Domain-specific metrics include overall equipment effectiveness that measures production system availability/uptime, performance/speed and output quality. In this work-in-progress paper, we take initial steps towards a model-based approach to evaluate production-specific metrics using domain-specific languages, model transformations and stochastic modelling formalism

Place, publisher, year, edition, pages
2020. p. 1085-1088
Keywords [en]
Cyber-Physical Systems, Industry 4.0, Smartmanufacturing, Multi-paradigm modelling, Stochastic ModelingFormalism, Metrics
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-51695DOI: 10.1109/ETFA46521.2020.9211948.ISI: 000627406500148Scopus ID: 2-s2.0-85093364564ISBN: 978-1-7281-8956-7 (electronic)OAI: oai:DiVA.org:mdh-51695DiVA, id: diva2:1477961
Conference
IEEE International Conference on Emerging Technologies and Factory Automation WIP@ETFA, 08 Sep 2020, Vienna, Austria
Projects
INNOFACTURE - innovative manufacturing developmentAvailable from: 2020-10-20 Created: 2020-10-20 Last updated: 2022-02-22Bibliographically approved

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Bucaioni, AlessioFlammini, FrancescoAhlskog, Mats

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CiteExportLink to record
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