Gudrun Kiesmüller has been a Full Professor for Operations Management at the TUM School of Management, TUM Campus Heilbronn, Technical University Munich since 2019. She has studied Mathematics at the Julius Maximilians University Würzburg where she also obtained her doctoral degree. Afterwards she joined the Technical University Eindhoven in the Netherlands as a PostDoc and later as an Assistent Professor. At the Christian Albrechts Universität zu Kiel she was appointed as a full professor for Supply Chain Management and at the Otto-von-Guericke University Magdeburg for Operations Management.
Her primary research interests are supply chain management, inventory management, and in particular the management of spare parts inventories. Recent projects also included the planning of maintenance processes and the design of manufacturing systems. In her work also optimization approaches are developed for decision support.
Together with different co-authors she has published in leading international journals such as European Journal of Operational Research, IISE Transactions, Production and Operations Management among others.
Selected current research projects
Impact of Sensor Technology on Repair Kit Planning: We develop a decision support tool, which helps to decide which spare parts a technician should have in his kit when he is visiting customers to repair a failed installed base. In particular, we consider components equipped with sensor technology such that failure diagnosis can take place before the visit of the technician.
Design and Analysis of Manufacturing Systems: To reduce downtimes and increase throughput of advanced technical manufacturing systems, spare parts can be kept in stock. We develop methods such that spare parts and maintenance planning can be integrated in the design of a manufacturing system.
G.P. Kiesmüller, J. Zimmermann
The Influence of Spare Parts Provisioning on Buffer Size in a Tandem System, IISE Transactions (2018), 50 (5), 367-380.
D. Sonntag, G.P. Kiesmüller
The Influence of Quality Inspections on the Optimal Safety Stock Level, Production and Operations Management (2017), 26 (7), 1284-1298.
K. Inderfurth, G.P. Kiesmüller
Exact and heuristic linear-inflation policies for an inventory model with random yield and arbitrary lead times, European Journal of Operational Research (2015), 245, 109-120.
C. Paterson, G.P. Kiesmüller, R. Teunter, K. Glazenbrook
Inventory Models with Lateral Transshipments, European Journal of Operational Research (2011), 210, 125-136.
J. Arts, M. van Vuren, G.P. Kiesmüller
Efficient Optimization of the Dual-Index Policy Using Markov Chains}, IIE Transactions (2011), 43, 1-17.
K.B. Öner, G.P. Kiesmüller, G.J. van Houtum
Optimization of Component Reliability in the Design Phase of Capital Goods, European Journal of Operational Research (2010), 205, 615-624.
G.P. Kiesmüller, A.G. de Kok, S.R. Smits, P.J.M van Laarhoven
Analysis of divergent N-echelon (s, nQ)-policies under compound renewal demand, OR Spectrum (2004), 26 (4), 547–577.
A new approach for controlling a hybrid stochastic
manufacturing/remanufacturing system with inventories and different lead times,
European Journal of Operational Research (2003), 147 (1), 62-71.