Design it like Darwin 2.0 : An Evolutionary Algorithm for Automatic Process Redesign

Title data

Seyfried, Johannes ; Ruby, Tobias ; Röglinger, Maximilian ; Manderscheid, Jonas:
Design it like Darwin 2.0 : An Evolutionary Algorithm for Automatic Process Redesign.
In: Proceedings of the 15th International Conference on Business Process Management (BPM). - Barcelona, Spain , 2017

Official URL:

Abstract in another language

Process redesign is an important and valuable phase of the business process management (BPM) lifecycle. However, human creativity and objectiveness regarding continuous redesign initiatives are limited and biased. To overcome these limitations, we propose computational support based on evolutionary algorithms. Our software tool extends a formerly published proof of concept. Novelties have been introduced by including a new data structure, new mutation and crossover operators as well as an extended evaluation of unambiguous process designs explicitly considering time objectives. Finally, the tool provides new computation process (re-) design support to the BPM community

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	business process management; process redesign; computational intelligence; evolutionary algorithm
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	13 Mar 2019 11:03
Last Modified:	27 Jun 2022 06:39
URI:	https://eref.uni-bayreuth.de/id/eprint/47965