What is he best known for?
The fields of study he is best known for:
- Marketing
- Mathematical optimization
- Statistics
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 most cited work include:
- A robust optimization approach to closed-loop supply chain network design under uncertainty (408 citations)
- A memetic algorithm for bi-objective integrated forward/reverse logistics network design (340 citations)
- A possibilistic programming approach for closed-loop supply chain network design under uncertainty (328 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Supply chain (45.51%)
- Mathematical optimization (27.53%)
- Operations research (20.22%)
What were the highlights of his more recent work (between 2020-2021)?
- Supply chain (45.51%)
- Biofuel (7.87%)
- Environmental economics (8.43%)
In recent papers he was focusing on the following fields of study:
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.
Between 2020 and 2021, his most popular works were:
- A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk (9 citations)
- A robust location-inventory model for food supply chains operating under disruptions with ripple effects (5 citations)
- A fuzzy inference based scenario building in two-stage optimization framework for sustainable recycling supply chain redesign (3 citations)
In his most recent research, the most cited papers focused on:
- Marketing
- Statistics
- Mathematical optimization
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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