Stammdaten

Titel: Time and Business Process Management: Problems, Achievements, Challenges
Untertitel:
Kurzfassung:

Processes have been successfully introduced for modeling dynamic phenomena in many areas like business, production, health care, etc. Many of these applications require to adequately deal with temporal aspects. Process models need to express temporal durations, temporal constraints like allowed time between events, and deadlines. For checking the correctness of process definitions with temporal constraints, different notions and algorithms have been developed. Schedules for the execution of processes can be computed and proactive time management supports process managers to avoid time failures during the execution of a process. We present an overview of the problems and the requirements for treating time in business processes and the solutions achieved by applying results and techniques of research in temporal representation and reasoning. We reflect where expectations have not yet been met and sketch challenges in temporal representation and reasoning for addressing advanced requirements of the management of business processes.

Schlagworte: Business Process management, Temporal constraints, Scheduling, Process Evolution, Probabilistic Controllability
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 15.09.2020 (Online)
Erschienen in: 27th International Symposium on Temporal Representation and Reasoning
27th International Symposium on Temporal Representation and Reasoning
zur Publikation
 ( E. Munoz- Velasco, A. Ozaki, M. Theobald )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 25 - 32

Versionen

Keine Version vorhanden
Erscheinungsdatum: 15.09.2020
ISBN (e-book):
  • 978-3-95977-167-2
eISSN: -
DOI: http://dx.doi.org/10.4230/LIPIcs.TIME.2020.3
Homepage: https://www.dagstuhl.de/dagpub/978-3-95977-167-2
Open Access
  • Online verfügbar (Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 102 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Information and Communication Systems (ICS)

Kooperationen

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Beiträge der Publikation

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