Prof. Dr. Sandra Transchel

Associate Professor of Supply Chain and Operations Management

Sandra Transchel is Associate Professor for Supply Chain and Operations Management. From 2008 to 2011 Transchel was Assistant Professor for Supply Chain Management at the Pennsylvania State University, USA. In 2011 she was Visiting Assistant Professor at Tuck School of Business at Dartmouth, USA. In 2008 Dr. Transchel received her PhD from the University of Mannheim, Germany and graduated in March 2004 with a Diploma degree in Business Mathematics from the Otto-von-Guericke University in Magdeburg, Germany. 

Transchel’s research interests are in the areas of supply chain management, inventory control, revenue management, and production scheduling. Her current research focuses on retail operations and supply chain management with the special interest in the integration of supply and demand management. Her research conducts theoretical research in inventories to study the relationship between replenishment policies, inventory levels, price strategies, perishability, and customers’ substitution behavior. She also studies optimal price and capacity management in Airline Alliances. Dr. Transchel’s research has appeared in numerous academic journals including Operations Research, European Journal of Operational Research, International Journal of Production Research, International Journal of Production Economics, and Business Research.


Tel: +49 40 328707-256
Fax: +49 40 328707-209


Selected Publications

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Abstract: Abstract Practical experience and scientific research show that there is scope for improving the performance of inventory control systems by delaying a replenishment order that is otherwise triggered by generalised and all too often inappropriate assumptions. This paper presents the first analysis of the most commonly used continuous (s, S) policies with delayed ordering for inventory systems with compound demand. We analyse policies with a constant delay for all orders as well as more flexible policies where the delay depends on the order size. For both classes of policies and general demand processes, we derive optimality conditions for the corresponding delays. In a numerical study with Erlang distributed customer inter-arrival times, we compare the cost performance of the optimal policies with no delay, a constant delay and flexible delays. Sensitivity results provide insights into when the benefit of delaying orders is most pronounced, and when applying flexible delays is essential.

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Copy reference link   DOI: doi:10.1080/00207543.2015.1053579

Abstract: We consider production systems in technology industries where output quality of a single production run has a large variance. Firms operating such systems classify products into different quality bins and sell units in one bin at the same tagged quality level and the same price. Consumers have heterogeneous quality preferences and choose that quality that maximises their net utility. We examine firms’ assortment, production and pricing problem. We present a three-stage solution procedure that optimises the production quantity, quality specification and number of bins. In that regard, we show that for a manufacturing technology with known quality distribution and known distribution of customers’ quality preference, the optimal assortment and production quantity are set such that on average, the demand of each bin is exactly fulfilled. We examine the impact of an improved manufacturing technology, variation in consumer preferences and changing price premium on the optimal assortment, lot size, market share, yield loss and the overall profitability. We further show that when the quality distribution of the manufacturing process is unknown, downward substitution leads to product offering of higher quality and higher prices. Finally, we discuss practical considerations for pricing, technology and optimal product offerings, and explain the proliferation of bins witnessed in the last decade in the processor industry.

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Academic Positions

since 2011

Associate Professor of Logistics and Supply Chain Management at Kühne Logistics University, Hamburg, Germany


Dean of Programs at Kühne Logistics University, Hamburg, Germany

07/2011 - 12/2011

Visiting Assistant Professor of Business Administration at Tuck School of Business at Dartmouth, Hanover, NH, USA

11/2008 - 06/2011

Assistant Professor of Supply Chain Management at the Department of Supply Chain and Information Systems, Smeal College of Business at The Pennsylvania State University, State College, PA, USA

10/2006 - 02/2007

Visiting Researcher at the Tuck School of Business, Department of Operations Management & Management Science (Prof. David F. Pyke) at Tuck School of Business at Dartmouth, Hanover, NH, USA



Doctoral Degree (Dr. rer. pol. equivalent to Ph.D.) in Business Administration at the University of Mannheim; Doctoral Thesis: Integrated supply and demand management in operations


Diploma in Business Mathematics at the Otto-von-Guericke University, Magdeburg; Diploma Thesis: “On the performance of linear replenishment policies of a production-inventory problem under random demand and yield”