F
Farzad Dehghanian
Researcher at Ferdowsi University of Mashhad
Publications - 29
Citations - 969
Farzad Dehghanian is an academic researcher from Ferdowsi University of Mashhad. The author has contributed to research in topics: Supply chain & Reverse logistics. The author has an hindex of 7, co-authored 24 publications receiving 789 citations. Previous affiliations of Farzad Dehghanian include Amirkabir University of Technology.
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Carbon pricing versus emissions trading: A supply chain planning perspective
TL;DR: In this article, the authors present an analytical supply chain planning model that can be used to examine the supply chain performance at the tactical/operational planning level under carbon pricing and carbon emissions trading.
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Designing sustainable recovery network of end-of-life products using genetic algorithm
Farzad Dehghanian,Saeed Mansour +1 more
TL;DR: In this article, a three-objective mathematical programming model has been developed to maximize economic and social benefits and minimize negative environmental impacts simultaneously, in a sustainable recovery network of scrap tires.
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Green supply chain network design with stochastic demand and carbon price
TL;DR: A two-stage stochastic programming model to design a green supply chain in a carbon trading environment is presented and it is found that the supply chain configuration can be highly sensitive to the probability distribution of the carbon credit price.
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The impact of carbon pricing on a closed-loop supply chain: an Australian case study
TL;DR: In this paper, the authors developed a unified optimization model for a closed-loop supply chain in which the carbon emission is expressed in terms of dollar carbon cost and a comparative analysis is completed with a decomposition of cost and environmental influences across supply chain functions.
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A bi-level programming model for protection of hierarchical facilities under imminent attacks
TL;DR: A bi-level formulation of the r-interdiction median problem with fortification for critical hierarchical facilities and three metaheuristic algorithms and an exhaustive enumeration method to solve the introduced problem are presented.