Predicting key performance measures such as throughput and cycle time is the basis for the design and control of systems that are subject to stochastic and dynamic influences (see Figure). This research area focuses on the development of queuing models and approaches for their quantitative analysis. Challenging is, e.g., the derivation of performance measures beyond the mean such as quantiles or service levels. This information is key for a solid risk assessment. The models and methods find applications in the analysis and optimization of manufacturing systems and logistics systems such as material handling systems.
The digitalization has extensive effects on supply chains and production systems. This research area focuses on methods that exploit available data and information about future developments of customer demand and the production system itself, on the control of digitalized production systems. This is relevant, e.g., for seasonal demand or during production ramp-up. Moreover, solution approaches that include the identification of structural properties of the underlying optimization problem in combination with simulation/
The trend towards shortening product life cycles leads to more frequent changes between product generations. Managing the transition phase is challenging because of the complex interdependencies between companies’ decisions and customer reactions. In particular, substitution effects between product generations need to be captured. The research aims at deriving structural insights about the impact of finite and stochastic production capacities on strategies for the transition phase that give guidance regarding product offering, pricing, production, and inventory decisions.
Doctoral Studies in Business Administration, Chair of Production Management (Prof. Stolletz), University of Mannheim
Studies in Business Engineering (Diploma), Karlsruhe Institute of Technology (KIT)
Studies in Engineering and Technology Management (M.S.), Portland State University
Abitur, Gymnasium Oberalster, Hamburg
Assistant Professor (Akademischer Rat auf Zeit), Chair of Production Management (Prof. Stolletz), University of Mannheim
Visiting Scholar, Koc University, College of Administrative Sciences and Economics, Turkey
Visiting Scholar, Massachusetts Institute of Technology, Laboratory for Manufacturing and Productivity, USA
Research Assistant, Chair of Production Management (Prof. Stolletz), University of Mannheim
Internship, The Boston Consulting Group GmbH, Johannesburg South Africa
Internship, Robert Bosch GmbH, Karlsruhe
Internship, Preh GmbH, Bad Neustadt a. d. Saale