Process Engineering (SoSe 2025)

Veranstaltungszeitplan

Beschreibung

The lecture “Process Engineering” is embedded into the “Master of Science in Information Systems” (MScIS) program of the Department of Information Systems of the University of Münster. The program is planned for four semesters of full-time studies, takes place on-site and is being taught entirely in English.

The 120 ECTS (European Credit Transfer Systems) master consists of three Majors, namely “Data Science”, “Managing Digital Business”, and “Business Process Management”, of which the lecture described here is a part of.

Students attend one introductory course (6 ECTS), six lectures of their Major (36 ECTS), four lectures of other Majors as electives (24 ECTS), two seminars (12 ECTS), one project seminar (12 ECTS), and write their Master Thesis (30 ECTS).

Aside from Process Engineering, the 36 ECTS “Business Process Management” Major includes the following complementing lectures, awarding 6 ECTS, relating to 150-175 hours work each:

• Process Thinking: Development of a process-oriented mindset to identify challenges and innovative business opportunities; Introduction to the theoretical foundations of Business Process Management (BPM) and state-of-the-art frameworks and methods.
• Enterprise Architecture Management: Integration of business and IT aspects to understand and describe organizations as a whole; Holistic approach aiming to align business and IT.
• Public Services: Development, implementation, and management of public services from an IT perspective, with focuses on Human-Centric Design, User Experience, and Usability.
• Supply Chain Management: Application of data, process, and reference modeling in the context of Supply Chain Management; Integration of Data Analytics and digital transformation technologies into supply chain integration.
• Production and Retail: Application of information systems in the trade and production context, including process modeling, Enterprise Resource Planning, and intelligent trade/manufacturing.

Expected pre-knowledge are basics of conceptual modeling and basic knowledge in programming.

Process Engineering, in short, covers the technical concepts of BPM, especially the support and improvement of business processes using tools such as Process Mining, Process Modeling, Process Implementation and Execution, as well as Robotic Process Automation. Dumas et al. (2018)’s BPM life-cycle will serve as guiding framework.

Literatur

Selection:

• Bartelheimer, C., Wolf, V., & Beverungen, D. (2023). Workarounds as generative mechanisms for bottom‐up process innovation—Insights from a multiple case study. Information Systems Journal, 33(5), 1085–1150. https://doi.org/10.1111/isj.12435
• Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of Business Process Management. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-56509-4
• Jiménez-Ramírez, A. (2021). Humans, Processes and Robots: A Journey to Hyperautomation. Business Process Management: Blockchain and Robotic Process Automation Forum, 428, 3–6. https://doi.org/10.1007/978-3-030-85867-4_1
• Marrella, A., Resinas, M., Jans, M., & Rosemann, M. (2024a). Business Process Management (Vol. 14940). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70396-6
• Marrella, A., Resinas, M., Jans, M., & Rosemann, M. (2024b). Business Process Management Forum (Vol. 526). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70418-5
• Nousias, N., Tsakalidis, G., & Vergidis, K. (2024). Not yet another BPM lifecycle: A synthesis of existing approaches using BPMN. Information and Software Technology, 171, 107471. https://doi.org/10.1016/j.infsof.2024.107471
• Rosemann, M., & vom Brocke, J. The Six Core Elements of Business Process Management. In (pp. 105–122). https://doi.org/10.1007/978-3-642-45100-3_5
• Stachowiak, H. (1973). Allgemeine Modelltheorie. Springer-Verlag.
• Syed, R., Suriadi, S., Adams, M., Bandara, W., Leemans, S. J., Ouyang, C., Hofstede, A. H. ter, van de Weerd, I., Wynn, M. T., & Reijers, H. A. (2020). Robotic Process Automation: Contemporary themes and challenges. Computers in Industry, 115, 103162. https://doi.org/10.1016/j.compind.2019.103162
• van der Aalst, W. M. P., & Carmona, J. (2022). Process Mining Handbook (Vol. 448). Springer International Publishing. https://doi.org/10.1007/978-3-031-08848-3
• vom Brocke, J., & Rosemann, M. (2015). Handbook on Business Process Management 1. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-45100-3

Dozenten

• Dr. Armin Stein (verantwortlich)