Prof. Kiesmüller and her team conduct research in the field of Operations Management. Due to the current trend in digitization, many processes are changing and can be designed more efficiently. We develop methods to analyze and optimize processes and we especially investigate the implications of digitization in the context of Industry 4.0 on after sales services. We further study the application of AI methods for Supply Chain Optimization and Inventory Planning.
Areas of interest
Design and analysis of stochastic manufacturing systems
The design of a manufacturing system is essential for its performance. Even a few design improvements can increase production output or maintain throughput at a lower cost, consequently increasing the revenue of a company. In a discrete part production line throughput is influenced by variable processing times or unexpected machine failures, amongst other reasons. One possible way of mitigating the effects of these uncertainties is by installing buffers between the machines such that the machines are decoupled, meaning they are less affected by each other and can continue producing while another machine is under repair or when processing is slow. Another way is an increase in machine availability by avoiding long downtimes. Thus, fast repairs must be enabled by keeping spare parts on stock.
In this research project it is investigated how a manufacturing system should be designed, taking into account the spare parts planning as well as the planning of buffer places.
Despite careful planning, it may be useful due to unforeseen events, to keep safety stocks in a supply chain. Then the question raises, at which place the safety stocks need to be hold and which quantity is required. Especially in complex networks and under uncertain customer demand, planning safety stocks is an important component in the design of efficient processes. In one of the current research projects uncertain demand and supply are considered simultaneously. Especially the influence of random production yield on safety stocks is investigated.
Advanced technical systems (e.g. power generators, manufacturing systems, computer networks, medical systems, material handling systems, defense systems) serve for primary operations in our society. They must be kept up and running for operational continuity in power plants, factories, banks, hospital, airports, warehouses, etc. Interruptions of these systems lead to significant losses and therefore companies try to avoid downtimes by smart maintenance activities which have to be planned and integrated in production schedules. Another possibility to improve the availability of a system is a reliability improvement program and a redesign of components. In this research project we study joint reliability and spare parts planning and joint production and maintenance planning.
A wide and attractive range of courses in the bachelor and master degree program in the field of Operations Management is offered to the students. In addition to the scientifically grounded application, practical relevance are the focus of the courses. Especially, the following objectives are considered: