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Guest Talk: Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects

Christian Fleig, M.Sc. 

Date/Time: 30.05.2018, 12:00 

Location: D2.2.094 

Abstract 

Process standardization allows to optimize ERP systems and is a necessary step prior to ERP implementation projects. Traditional approaches to transforming and standardizing business processes are based on manually created "de-jure" process models, which are distorted, error-prone, simplistic, and deviating from process reality. This research project employs a design science approach to develop a process mining-enabled decision support system (DSS) which combines bottom-up process mining models with manually added top-down information to recommend a suitable standard process specification.

For decision-making, attribute-extended process models are compared against a repository of best-practice standard process models using an attribute-based process similarity matching algorithm. Thus, the DSS aims to reduce the overall costs of process standardization, to optimize the degree of fit between the organization and the implemented standard processes, and to minimize the degree of organizational change required in ERP implementation projects.

The research project is conducted in the context of a large-scale standardization project of an industrial corporation and includes an ERP implementation of the SAP S/4 HANA Business Suite.

The current project status comprises a working prototype instantiation in the open-source process analytics platform Apromore. The prototype is based on a real-life event log for the Purchase-to-Pay and Order-to-Cash processes from three SAP R/3 ERP systems and associated process information from process responsibles.

Bio 

Christian Fleig is as Project Manager and PhD Student in an IT service provider of a German industrial company and pursues a doctorate at Karlsruhe Institute of Technology (KIT) with the focus on Business Process Management. In his research, he devotes himself to the question of how Process Mining can effectively be used for Decision-Making in the transformation of business processes. He studied business administration at the universities of Mannheim, Manchester and Frankfurt with various internships in industry.



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