2023 - Research.com Mathematics in Iran Leader Award
The scientist’s investigation covers issues in Mathematical optimization, Supply chain network, Supply chain, Total cost and Operations research. Many of his research projects under Mathematical optimization are closely connected to Product with Product, tying the diverse disciplines of science together. His research in Supply chain network intersects with topics in Risk analysis, Simulation and Robustness.
The various areas that Seyed Ali Torabi examines in his Supply chain study include Linear programming, Robust optimization and Probabilistic-based design optimization. He combines subjects such as Supply and demand, Humanitarian Logistics and Flow network with his study of Total cost. In his study, Production and Procurement is strongly linked to Fuzzy logic, which falls under the umbrella field of Operations research.
His primary areas of study are Mathematical optimization, Fuzzy logic, Operations research, Supply chain and Total cost. His biological study deals with issues like Supply chain network, which deal with fields such as Robustness and Integer programming. His research integrates issues of Particle swarm optimization and Price discrimination in his study of Fuzzy logic.
His Operations research study combines topics from a wide range of disciplines, such as Uncertainty quantification and Operations management. His Supply chain study which covers Procurement that intersects with Systems engineering. In his work, Flow network and Resilience is strongly intertwined with Supply and demand, which is a subfield of Total cost.
Seyed Ali Torabi focuses on Mathematical optimization, Supply chain, Fuzzy logic, Total cost and Operations research. His work on Linear programming and Scenario tree is typically connected to Distribution and Deep level as part of general Mathematical optimization study, connecting several disciplines of science. His studies deal with areas such as Production planning and Supply chain network as well as Linear programming.
His biological study spans a wide range of topics, including Computer security and Recovery time objective, Recovery point objective. His Total cost research includes themes of Supply and demand and Fuzzy transportation. His work on Goal programming as part of general Operations research study is frequently connected to Natural disaster, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Seyed Ali Torabi mainly investigates Supply chain, Mathematical optimization, Risk analysis, Fuzzy logic and Uncertainty quantification. His study in Supply chain is interdisciplinary in nature, drawing from both Advertising and Function. Linear programming is the focus of his Mathematical optimization research.
Seyed Ali Torabi combines subjects such as Inherent safety, Process safety, Process and Envelopment with his study of Risk analysis. Seyed Ali Torabi has researched Fuzzy logic in several fields, including Stackelberg competition, Demand curve, Remanufacturing and Finance. The concepts of his Total cost study are interwoven with issues in Reliability engineering and Supply chain network.
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A robust optimization approach to closed-loop supply chain network design under uncertainty
Mir Saman Pishvaee;Masoud Rabbani;Seyed Ali Torabi.
An interactive possibilistic programming approach for multiple objective supply chain master planning
S. A. Torabi;E. Hassini.
Fuzzy Sets and Systems (2008)
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
M. S. Pishvaee;S. A. Torabi.
Robust possibilistic programming for socially responsible supply chain network design: A new approach
M. S. Pishvaee;J. Razmi;S. A. Torabi.
Humanitarian logistics network design under mixed uncertainty
S. Tofighi;S.A. Torabi;S.A. Mansouri.
European Journal of Operational Research (2016)
Integrated business continuity and disaster recovery planning: Towards organizational resilience
N. Sahebjamnia;S.A. Torabi;S.A. Mansouri.
European Journal of Operational Research (2015)
Resilient supplier selection and order allocation under operational and disruption risks
S.A. Torabi;M. Baghersad;M. Baghersad;S.A. Mansouri.
Transportation Research Part E-logistics and Transportation Review (2015)
Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty
M. S. Pishvaee;S. A. Torabi;J. Razmi.
An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain
M S Pishvaee;Jafar Razmi;S A Torabi.
A common weight MCDA–DEA approach to construct composite indicators
S.M. Hatefi;S.A. Torabi.
Ecological Economics (2010)
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