S
S.M.J. Mirzapour Al-e-hashem
Researcher at ESC Rennes School of Business
Publications - 36
Citations - 1817
S.M.J. Mirzapour Al-e-hashem is an academic researcher from ESC Rennes School of Business. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 14, co-authored 24 publications receiving 1344 citations. Previous affiliations of S.M.J. Mirzapour Al-e-hashem include EMLYON Business School & Iran University of Science and Technology.
Papers
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A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty
TL;DR: The proposed multi-objective robust stochastic programming approach for disaster relief logistics under uncertainty can help in making decisions on both facility location and resource allocation in cases of disaster relief efforts.
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A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty
TL;DR: In this article, a robust multi-objective mixed integer nonlinear programming model is proposed to deal with APP considering two conflicting objectives simultaneously, as well as the uncertain nature of the supply chain.
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A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions
TL;DR: A stochastic programming approach to solve a multi-period multi-product multi-site aggregate production planning problem in a green supply chain for a medium-term planning horizon under the assumption of demand uncertainty.
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Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty.
TL;DR: An integrated Water Supply and Wastewater Collection System under uncertainty is proposed and an improved multi-objective SEO is introduced to solve this complicated model to meet the standards of the sustainable development in developing countries.
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Green vehicle routing problem: A state-of-the-art review
TL;DR: This paper investigates the main contributions related to the green vehicle routing problem (Green-VRP) and presents a classification scheme based on its variants considered in scientific literature, in particular, three major and applicable streams including internal combustion engine vehicles (ICEVs), alternative-fuel powered vehicles (AFVs), and hybrid electric vehicles (HEVs).