Montpellier Business School

Dr. Alikhani Reza

Alikhani Reza
Fonction Assistant professor
Teaching department Entrepreneurship, Strategy, Technology, Innovation, Management
Contact

Mail: r.alikhani@montpellier-bs.com

Short Bio

Dr. Reza Alikhani is currently serving as an assistant professor in the department of management, strategy, and entrepreneurship at Montpellier Business School (MBS), France. Before joining the MBS, he spent a year and a half as a postdoctoral researcher at EM Normandie Business School. He holds a Ph.D. degree in production and operations management from the University of Tehran, Iran. During his journey, Reza was a visiting fellow to DePaul University, Chicago for a six-month period. His research primarily focuses on using operations research tools and techniques to improve the design and management of supply chains and logistics operations. Reza’s research includes supply chain resilience, sustainable operations management, supply chain collaboration, and retail supply chain. Some of his research articles appeared in the International Journal of Production Economics, and the Journal of Cleaner Production. Reza serves as an ad hoc reviewer for several journals including the International Journal of Production Economics and the International Journal of Production Research among others. He has worked with several international companies over the years and is open to new collaborative research projects.

Selected intellectual contributions

Alikhani R., Torabi S.A. & Altay N. 2021. Retail supply chain network design with concurrent resilience capabilities. International Journal of Production Economics, 234: 108042.

Alikhani R., Torabi S.A. & Altay N. 2019. Strategic supplier selection under sustainability and risk criteria. International Journal of Production Economics, 208: 69-82.

Alikhani R. & Azar A. 2015. A hybrid fuzzy satisfying optimization model for sustainable gas resources allocation. Journal of Cleaner Production, 107: 353-365.

Alikhani R. & Azar A. 2013. A combined goal programming model for gas resources allocation under uncertainty. Advances in Fuzzy Sets and Systems, 15(1): 17.

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