Sandria Weißhuhn is a PhD candidate in Supply Chain Management at Kühne Logistics University since September 2018. She joined as one of the university’s outstanding graduates in its M. Sc. Global Logistics Program in 2018. Her master’s degree at KLU was complemented with a semester abroad at the Logistics Institute – Asia Pacific at National University of Singapore. Prior to KLU she studied International Business at Cologne Business School and California State University, Northridge. Beyond her studies, Sandria gained practical experience in strategic internship positions at DHL Supply Chain and Ernst & Young.
Sandria first got in touch with academic research when publishing and presenting her bachelor thesis work, a comprehensive analysis of the optimal distribution centre location of technology companies in Eastern Europe, in the course of the BME’s 10th Supply Management Symposium in March 2017. In the same year, she also took a student research assistant opportunity at KLU. Her research in the PhD program will be related to her master thesis on “Smart Replenishment Systems”. In particular, Sandria is interested in new business models and improved logistics processes arising from smart devices at the consumer stage with the potential to track and transmit point-of-consumption data in real time.
In July 2022, Sandria started a Research Specialist position at the Luxembourg Center for Logistics and Supply Chain Management, while completing her PhD at KLU in parallel by the end of the year.
|Since 2022||Research Specialist, Luxemburg Centre for Logistics and Supply Chain Management, University of Luxembourg, Luxembourg|
|Since 2018||Research Assistant, Kühne Logistics University, Hamburg, Germany|
|2017||Student Research Assistant, Kühne Logistics University, Hamburg, Germany|
|2017||Internship in Transaction Advisory Services at Ernst & Young GmbH|
|2016||Bachelor Thesis about the Optimal Regional Distribution Center Location of Technology Companies in Eastern Europe at DHL Supply Chain Management GmbH|
|2015||Internship in Business Development for the Global Technology Sector at DHL Supply Chain Management GmbH|
|Since 2018||PhD Candidate in Supply Chain Management, Kühne Logistics University, Hamburg, Germany|
|2018||Master of Science in Global Logistics & SCM, Kühne Logistics University, Hamburg, Germany|
|2017||Exchange Semester, National University of Singapore, Singapore|
|2016||Bachelor of Arts in International Business, Cologne Business School, Germany|
|2015||Semester abroad, California State University Northridge, Northridge, USA (Supported by Fulbright and DAAD PROMOS Scholarships)|
Weißhuhn, Sandria and Kai Hoberg (2021): Designing smart replenishment systems: Internet-of-Things technology for vendor-managed inventory at end consumers, European Journal of Operational Research, 295 (3): 949-964.
Abstract: Motivated by recent advances in Internet-of-Things (IoT) technology for household appliances, we analyze a Smart Replenishment system that leverages point-of-consumption (POC) information at end consumers to decide on deliveries of consumables. As such, we extend the classic Vendor-Managed Inventory (VMI) concept to end consumers. We model the system for a single manufacturer who directly serves end consumers with uncertain demand. End consumers partially adopt the new Smart Replenishment mode, which results in a mix of VMI and non-VMI customers. We assume that unfulfilled demand is lost and that the manufacturer’s dispatch capacity is constrained. Customers compete for the same capacity while featuring different out-of-stock risks and service-level expectations, both of which are costly to the manufacturer. Considering various adoption levels, we decide on the design of such a system and focus on (i) inventory control, (ii) customer prioritization, and (iii) degree of smart, integrated decision-making. Using discrete-event simulation and a full-factorial experiment, we show that replenishment decisions can be significantly enhanced with POC information. It leads to substantial improvements in service levels and capacity utilization without loading customers with inventories. This improvement potential is highest for a low demand coverage of the replenishment quantity, a high gap in the ordering behavior of manufacturer and end consumers, and a long lead time. To realize this improvement potential, we propose a flexible reorder corridor to manage inventories at VMI customers that balances the trade-off between out-of-stock risk and service-level expectation inherent in the system.
Weißhuhn, Sandria, Simon Lemmen and Elisabeth Fröhlich (2017): Optimal Regional Distribution Center Location of Technology Companies in Eastern Europe: A Quantitative and Qualitative Perspective, in: Bode, Christoph, Ronald Bogaschewsky, Michael Eßig, Rainer Lasch and Wolfgang Stölzle (ed.): Supply Management Research: Aktuelle Forschungsergebnisse 2017, Springer: Wiesbaden, 145-163.
Abstract: Owing to a very favorable investment climate predicted for the years to come, Central and Eastern European (CEE) facility locations are increasingly getting into the consideration set of decision makers. Especially technology companies in the mobile device, PC and notebook, and consumer electronics industries, constantly facing extremely high margin pressure and short product lifecycles, strive for cost‐ and revenue‐related advantages by locating parts of their supply chain in this region. The optimal regional distribution center location in CEE is a strategic location problem of particular interest to these mainly Asian‐based electronics manufacturers and their regional logistics service providers.