Core Faculty

Andreas Robotis

Academic Director of the Double Degree MSc in Supply Chain Management Assistant Professor of Decision Sciences Diploma, National Technical University of Athens; MSc, University of Southern California, MSc, University of California at Los Angeles; Ph.D, INSEAD

Andreas Robotis holds a bachelor in Mechanical Engineering from National Technical University of Athens, a master in Mechanical Engineering from University of Southern California, a master in Electrical Engineering from University of California at Los Angeles, and a Ph.D. in Management from INSEAD. His research interests lie in the interface of sustainability and operations strategy. His recent research papers focus on closed loop supply chains and remanufacturing, installed base management (the bundling of products and maintenance services), and humanitarian logistics. He is also interested in in big data analytics. He has published in journals such as Production and Operations Management, European Journal of Operational Research and International Journal of Production Economics and has presented research work in numerous international conferences. He has taught at McGill University, HEC Paris and has been a visiting faculty of Indian School of Business. He teaches subjects in supply chain management, operations strategy and management, closed loop supply chains, reverse logistics, information systems, stochastic optimization and probability and statistics. Besides his academic activities, he has also worked as a clarinet player and as a an technology consultant for start-up firms.

Contact Details

TEL.: (+30) 210-896 4531-8 Fax : (+30) 210-896 4737 E mail : [email protected]


Eftekar, M., Masini, A., Robotis, A., & Van Wassenhove, L .N. 2014. Vehicle procurement policy for humanitarian development programs. Production & Operations Management, 23 (6): 951–964.

Robotis, A., Bhattacharya, S., & Van Wassenhove, L. N.. 2012. Life cycle pricing for installed base management with constrained capacity and remanufacturing. Production & Operations Management, 21 (2): 236-252.

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