Objectives and competences
The objective of the course is to enable students to identify, model, analyze and automate key processes using established techniques and information technologies.
Content (Syllabus outline)
• Foundations: process approach, business process, business process life cycle, business process classification.
• Process identification: process architectures, process landscape modeling, identification of key processes.
• Process discovery: process discovery methods, process modeling methods, quality of process models, automatic process discovery, notations for modeling structured and unstructured processes, BPMN, CMMN, DMN.
• Process analysis: value-added analysis, waste analysis, Pareto analysis, root cause analysis, cycle time time analysis, process simulation, process conformance analysis with process mining.
• Process redesign: process quality dimensions, process redesign approaches, transactional methods, transformational methods.
• Process implementation: process-aware information systems, identification of automation boundaries, granulation of process models, determination of executable properties of processes, workflow management systems, case management, robotic process automation.
• Process monitoring: process dashboards, process monitoring with process mining.
Learning and teaching methods
lectures,
lab work.
Intended learning outcomes - knowledge and understanding
• Understand and summarize the process approach
• Identify and model business processes
• Analyze business process descriptions and models
• Implement business process models
• Measure and improve business processes
• Apply IT tools for effective business process management
Intended learning outcomes - transferable/key skills and other attributes
• Communication skills: oral presentation of lab work, written communication for the exam.
• Use of information technology: the use of state-of-the-art solutions for business process modeling and management.
• Organization skills: managing the project of the selected business process redesign.
• Problem-solving: development of business process models based on unstructured descriptions.
• Identification of problems and improvement of business process models.
• Working in a group: Business process improvement in a team.
Readings
• M. Dumas, M. L. Rosa, J. Mendling, and H. A. Reijers, Fundamentals of Business Process Management. Springer Berlin Heidelberg, 2018.
• Weske, M., 2019. Business Process Management: Concepts, Languages, Architectures. Springer.
• Aalst, W.M.P. van der, 2016. Process Mining: Data Science in Action. Springer.
• OMG, 2011. Business Process Model and Notation version 2.0 [WWW Document]. URL http://www.omg.org/spec/BPMN/2.0/.
• Freund, J., Rücker, B., 2016. Real-Life BPMN: Using BPMN, CMMN and DMN to Analyze, Improve, and Automate Processes in Your Company. CreateSpace Independent Publishing Platform.
Prerequisits
Recommended is the knowledge related to design and development of information systems, foundations of process approach and business process modeling notations.
Additional information on implementation and assessment Written exam can be replaced by midterm exams.
