Operations Management-Supply Chain-Information Systems Download CV

Mehdi Amiri-Aref is an Associate Professor of Supply Chain Management at Kedge Business School. Prior to that, he was a Postdoctoral Researcher at the same institution. He obtained a BSc, an MSc, and a PhD all in Industrial Engineering from the School of Engineering in Mazandaran University of Science and Technology. His research and teaching interests include the design and management of supply chains, the strategy of distribution logistics networks, and supply chain simulation. He is the principal author of several scientific articles published in international journals. 

    Recent publications
    Publication Year of publication Type of publication
    AMIRI AREF, M., S. SHIRIPOUR , D. RUIZ-HERNÁNDEZ, "Exact and approximate heuristics for the rectilinear Weber location problem with a line barrier", Computers & Operations Research, 2021, vol. 132, pp. 105293 2021 Journal article
    SARMADI, K., J. DONG, C. HICKS, M. AMIRI AREF, "Integrated Strategic and Operational Planning of Dry Port Container Network in a Stochastic Environment", Transportation Research Part B: Methodological, 2020, vol. 139, pp. 132-164 2020 Journal article
    AMIRI AREF, M., R.ZANJIRANI FARAHANI, M.HEWITT, W.KLIBI, "Equitable location of facilities in a region with probabilistic barriers to travel", Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 127, pp. 66-85 2019 Journal article
    ALIZADEH, M., M. AMIRI AREF, N. MUSTAFEE, S. MATILAL, "A Robust Stochastic Casualty Collection Points Location Problem", European Journal of Operational Research, 2019, vol. 279, no. 3, pp. 965-983 2019 Journal article
    AMIRI AREF, M., W.KLIBI, M. Z.BABAI, "The Multi-Sourcing Location Inventory Problem with Stochastic Demand", European Journal of Operational Research, 2018, vol. 266, pp. 72-87 2018 Journal article
    AMIRI AREF, M., R.ZANJIRANI FARAHANI, N.JAVADIAN, W.KLIBI, "A rectilinear distance location–relocation problem with a probabilistic restriction: mathematical modelling and solution approaches", International Journal of Production Research, 2016, vol. 54, no. 3, pp. 629-646 2016 Journal article
    Teaching domains

    Operations Management/Supply Chain

    Research domains

    Supply Chain & Logistics

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