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Amirhossein Salehi-Amiri
Researcher at École de technologie supérieure
Publications - 9
Citations - 377
Amirhossein Salehi-Amiri is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Supply chain network & Supply chain. The author has an hindex of 4, co-authored 7 publications receiving 50 citations.
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Journal ArticleDOI
Designing a sustainable closed-loop supply chain network for walnut industry
TL;DR: A new Mixed Integer Linear Programming (MILP) for the proposed network is developed minimizing the overall costs of the walnut industry and its applicability and efficiency is illustrated.
Journal ArticleDOI
Designing a Closed-loop Supply Chain Network Considering Social Factors; A Case Study on Avocado Industry
Amirhossein Salehi-Amiri,Ali Zahedi,Fatemeh Gholian-Jouybari,Ericka Zulema Rodríguez Calvo,Mostafa Hajiaghaei-Keshteli +4 more
TL;DR: Demand has the most effect on this CLSC network in which that a 25 percent decrease in demand can increase the total cost up to 40 percent and improve employment efficiency up to around 30 percent, simultaneously.
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Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic
TL;DR: In this article, the authors developed two innovative approaches to design a relief supply chain network is by using IoT to address multiple suspected cases during a pandemic like the SARS-COV-2 outbreak.
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An innovative waste management system in a smart city under stochastic optimization using vehicle routing problem
Navid Akbarpour,Amirhossein Salehi-Amiri,Mostafa Hajiaghaei-Keshteli,Diego Oliva,Diego Oliva +4 more
TL;DR: In this article, the authors considered the uncertain parameters in the output rate of separation facilities as well as the importance of value recovery from each bin; the aim is to enhance the efficiency of operations.
Journal ArticleDOI
Designing a closed-loop supply chain network considering multi-task sales agencies and multi-mode transportation
TL;DR: In this paper, a new closed-loop supply chain network with sales agency and customers is formulated, and the objective function is to maximize the total profit of the network with different transportation modes and rely on sale agency centers.