His main research concerns Supply chain network, Mathematical optimization, Supply chain, Network planning and design and Total cost. The study incorporates disciplines such as Life-cycle assessment, Robust optimization, Time horizon and Robustness in addition to Supply chain network. His study in Multi-objective optimization, Stochastic programming and Data envelopment analysis is carried out as part of his Mathematical optimization studies.
His Supply chain research focuses on Management science and how it relates to Key and Fuzzy mathematical programming. His Network planning and design study combines topics from a wide range of disciplines, such as Reverse logistics, Supply chain management, Sample, Integer programming and Operations research. His work deals with themes such as Production and Fuzzy logic, which intersect with Operations research.
His primary areas of study are Supply chain, Mathematical optimization, Operations research, Supply chain network and Network planning and design. Mir Saman Pishvaee interconnects Linear programming, Environmental economics, Total cost and Fuzzy logic in the investigation of issues within Supply chain. His Mathematical optimization study combines topics in areas such as Reverse logistics and Robustness.
His studies in Operations research integrate themes in fields like Management science, Process, Operations management, Service and Selection. His Supply chain network course of study focuses on Profit and Incentive. He has researched Network planning and design in several fields, including Uncertainty quantification, Multi-objective optimization and Risk analysis.
The scientist’s investigation covers issues in Supply chain, Biofuel, Environmental economics, Biochemical engineering and Fuzzy logic. The various areas that Mir Saman Pishvaee examines in his Supply chain study include Total cost and Robustness. He combines subjects such as Customer satisfaction and Robust optimization with his study of Robustness.
His Environmental economics research incorporates themes from Supply chain sustainability, Economic cost, Business case, Supply chain management and Exergy. Mir Saman Pishvaee regularly ties together related areas like Mathematical optimization in his Fuzzy logic studies. His Mathematical optimization research is multidisciplinary, incorporating elements of Stackelberg competition and Discriminative model.
Mir Saman Pishvaee mainly investigates Supply chain, Environmental economics, Food supply, Network planning and design and Risk analysis. His research integrates issues of Total cost and Robustness in his study of Supply chain. His Total cost research integrates issues from Incentive, Robust optimization, Reduction and Heuristic.
His Robustness study combines topics from a wide range of disciplines, such as Linear programming, Mathematical optimization, Expected shortfall and Supply chain network. The Environmental economics study combines topics in areas such as Order and Social sustainability. His studies in Network planning and design integrate themes in fields like Perishability and Fuzzy logic.
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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.
Applied Mathematical Modelling (2011)
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
Mir Saman Pishvaee;Reza Zanjirani Farahani;Wout Dullaert.
Computers & Operations Research (2010)
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
M. S. Pishvaee;S. A. Torabi.
Fuzzy Sets and Systems (2010)
Environmental supply chain network design using multi-objective fuzzy mathematical programming
Mir Saman Pishvaee;Jafar Razmi.
Applied Mathematical Modelling (2012)
Robust possibilistic programming for socially responsible supply chain network design: A new approach
M. S. Pishvaee;J. Razmi;S. A. Torabi.
Fuzzy Sets and Systems (2012)
A stochastic optimization model for integrated forward/reverse logistics network design
Mir Saman Pishvaee;Fariborz Jolai;Jafar Razmi.
Journal of Manufacturing Systems (2009)
Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty
M. S. Pishvaee;S. A. Torabi;J. Razmi.
Computers & Industrial Engineering (2012)
A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry
Mohammad Talaei;Babak Farhang Moghaddam;Mir Saman Pishvaee;Ali Bozorgi-Amiri.
Journal of Cleaner Production (2016)
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.
Transportation Research Part E-logistics and Transportation Review (2014)
Reverse logistics network design using simulated annealing
Mir Saman Pishvaee;Kamran Kianfar;Behrooz Karimi.
The International Journal of Advanced Manufacturing Technology (2010)
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