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Process observation as support for evolutionary process engineering

Titelangaben

Schönig, Stefan ; Seitz, Michael ; Piesche, Claudia ; Zeising, Michael ; Jablonski, Stefan:
Process observation as support for evolutionary process engineering.
In: International Journal on Advances in Systems and Measurements. Bd. 5 (2012) Heft 3-4 . - S. 188-202.
ISSN 1942-261x

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

The Process Observation project is used to generate business process execution logs and guides process participants through process execution. In this contribution, we introduce process evolution as an economic field of application for process observation. There are different needs for process evolution, e.g., to establish more consistent process results, continuously measure and improve process performance or meet accreditation requirements. We will show how process discovery, process guidance and process evidence as the main basic functions of process observation can be applied as support for reasonable process evolution. In this way, process observation can be used to reach a desired evolution stage or rather facilitate the transition between two maturity levels. Furthermore, process observation serves as an implementation for certain evolution stages itself and can additionally be consulted to prove the conformance to quality requirements of maturity levels.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV > Lehrstuhl Angewandte Informatik IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 08 Dec 2017 07:14
Letzte Änderung: 15 Sep 2022 11:27
URI: https://eref.uni-bayreuth.de/id/eprint/34908