Mozart MENEZESInformation Systems, Supply Chain & Decision Making PhD (Authorization to supervise research), Engineering, Quantitative Methods Email: email@example.com
- Combinatorial Optimisation, Manufacturing Operations, Business-to-Business (B2B) Operations, Supply Chain Management, Supply Chain Complexity Management, Operations Complexity, Risk ManagementBiography:
Dr. Mozart Menezes is a professor at NEOMA Business School, where he is the director of the Centre of Expertise on Complexity and Business Transformation. In the past, he has served as Professor of Supply Chain Management and PhD Program Director at the MIT-Zaragoza Logistics Centre, and at HEC School of Management in Paris. He has been also a Research Affiliate at the Centre for Transportation and Logistics at MIT. He has also taught at Haskaye School of Business, at University of Calgary, and at KEDGE Business School in Bordeaux. He worked for several years as Operations Manager at Procter & Gamble, prior to which, he worked as Project Manager for near 10 years for various engineering companies. He has been or is involved in research projects with several large companies, such as Acciona Energy, Alcatel-Lucent, the City of Calgary, Danone-Nutricia, Environmental Refuelling Systems, Doctors without Borders (MSF), General Motors, Groupe Casino, Saica Natur, Telefonica, and WestJet. He obtained a BSc in Civil Engineering in Brazil. Dr. Menezes received an MSc degree in Civil Engineering specializing in Project Management, and an MSc degree in Industrial Administration from Clemson University, USA. He received a PhD degree in Operations Management from the Rotman School of Management, University of Toronto, Canada. His research interests include Business Complexity and Risk, Supply Chain Network Design, Supply Chain Resilience, and the impact of Social Networks on Operations. His work has been published in some of the most respected journals in his field, such as Annals of Operations Research, Decision Sciences, European Journal of Operational Research, Omega, Operations Research, and PloS-ONE.