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Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches

Fritsch, Andreas ORCID iD icon 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

Business Process Management (BPM) has the potential to help companies manage and reduce their activities' negative social and environmental impacts. However, so far, only limited capabilities for analysing the sustainability impacts of processes have been integrated into established BPM methods and tools. One of the main challenges of existing Sustainable BPM approaches is the lack of a sound conception of sustainability impacts. This paper describes a set of sustainability analysis patterns that integrate BPM concepts with concepts from existing sustainability analysis methods to address this challenge. The patterns provide a framework to evaluate and develop process modelling and process mining approaches for discovering, analysing and improving the sustainability impacts of processes. It is shown how the patterns can be used to evaluate existing process modelling and process mining approaches.

Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000180158
Erschienen in ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers, Editors: Andrea Delgado, Tijs Slaats
Veranstaltung ICPM Doctoral Consortium and Demo Track (ICPM-D 2024), Lyngby, Dänemark, 14.10.2024 – 18.10.2024

Preprint §
DOI: 10.5445/IR/1000180158
Veröffentlicht am 18.03.2025
Seitenaufrufe: 34
seit 18.03.2025
Downloads: 48
seit 19.03.2025
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