Richard Pibernik received his doctorate from Goethe University in Frankfurt. From 2004 to 2007 he was a Research Affiliate at Massachusetts Institute of Technology (MIT) and worked as a Professor of Supply Chain Management within the scope of the MIT-Zaragoza International Logistics Program at Zaragoza Logistics Center (in Spain). After returning to Germany, he directed the Chair of Supply Chain Management at EBS Business School in Wiesbaden, where he was Head of the Department for Supply Chain Management and Information Systems and Vice Dean of Research. As of January 2012 Richard directs the Chair of Logistics and Quantitative Methods at University of Würzburg. He is also an Adjunct Professor at Zaragoza Logistics Center, where he holds lectures for the MIT-Zaragoza International Logistics Program. Richard also teaches at Copenhagen Business School, where he was appointed as Otto Mønsted Visiting Professor.
Richard’s research is focused on quantitative methods for managing global logistics and supply chains. He has published articles in numerous renowned international journals and was responsible for a series of international research projects (financed by the EU, the Spanish government, and other private and public institutions). Moreover, he has worked with various companies (i.e. Lufthansa, SAP, Alcatel-Lucent) in developing new methods and technologies for managing supply chains. He teaches in various executive programs and frequently offers seminars for managers.
logistics management, global supply chain management
logistics management, global supply chain management, quantitative decision analysis and support
Ecken, P., & Pibernik, R. (2015). Hit or Miss: What Leads Experts to Take Advice for Long-Term Judgments?. Management Science, 62(7), 2002-2021.
Rexhausen, D., Pibernik, R., & Kaiser, G. M. (2012). Customer-facing supply chain practices—The impact of demand and distribution management on supply chain success. Journal of Operations Management, 30(4), 269-281.
Pibernik, R., Zhang, Y., Kerschbaum, F., & Schropfer, A. (2011). Secure collaborative supply chain planning and inverse optimization - The JELS model. European Journal of Operational Research, 208(1), 75-85.
Pibernik, R.(2005). Advanced available-to-promise: Classification, selected methods and requirements for operations and inventory management.International Journal of Production Economics,, 239-252.