What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Artificial intelligence
- Marketing
Jafar Razmi mostly deals with Mathematical optimization, Operations research, Fuzzy logic, Supply chain and Supply chain network.
His work carried out in the field of Mathematical optimization brings together such families of science as Network planning and design, Supply chain management and Purchasing.
His Operations research research is multidisciplinary, incorporating elements of Fuzzy number, Fuzzy set, Supplier relationship management and Selection.
He performs multidisciplinary study on Fuzzy logic and Environmental impact assessment in his works.
His Supply chain network research includes themes of Life-cycle assessment, Multi-objective optimization and Total cost.
His work deals with themes such as Fuzzy transportation and Operations management, which intersect with Multi-objective optimization.
His most cited work include:
- Robust possibilistic programming for socially responsible supply chain network design: A new approach (247 citations)
- Environmental supply chain network design using multi-objective fuzzy mathematical programming (246 citations)
- A stochastic optimization model for integrated forward/reverse logistics network design (212 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Operations research, Supply chain, Mathematical optimization, Fuzzy logic and Supply chain management.
His Operations research research focuses on Production and how it connects with Lead time.
His work on Supply chain network is typically connected to Order as part of general Supply chain study, connecting several disciplines of science.
His Network planning and design research extends to the thematically linked field of Mathematical optimization.
Artificial intelligence covers Jafar Razmi research in Fuzzy logic.
He has researched Operations management in several fields, including Analytic hierarchy process, Industrial engineering and Process management.
He most often published in these fields:
- Operations research (41.98%)
- Supply chain (35.88%)
- Mathematical optimization (32.82%)
What were the highlights of his more recent work (between 2016-2021)?
- Supply chain (35.88%)
- Mathematical optimization (32.82%)
- Supply chain network (14.50%)
In recent papers he was focusing on the following fields of study:
Jafar Razmi focuses on Supply chain, Mathematical optimization, Supply chain network, Total cost and Fuzzy logic.
Supply chain management is the focus of his Supply chain research.
His work on Linear programming as part of general Mathematical optimization study is frequently linked to Sensitivity, therefore connecting diverse disciplines of science.
Jafar Razmi works mostly in the field of Supply chain network, limiting it down to topics relating to Nash equilibrium and, in certain cases, Market share and Dykstra's projection algorithm, as a part of the same area of interest.
His studies in Total cost integrate themes in fields like Quality, Multi-objective optimization, Genetic algorithm and Operations research.
His Fuzzy logic research is multidisciplinary, relying on both Machine learning and Fuzzy analytic network process, Analytic network process.
Between 2016 and 2021, his most popular works were:
- A sustainable second-generation biodiesel supply chain network design problem under risk (83 citations)
- An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem (75 citations)
- Analytical comparisons in a three-echelon closed-loop supply chain with price and marketing effort-dependent demand: game theory approaches (32 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Artificial intelligence
- Marketing
His primary areas of study are Supply chain, Mathematical optimization, Supply chain network, Biodiesel production and Sustainable development.
His Supply chain research incorporates elements of Total cost, Service level, Profit, Multi-objective optimization and Game theory.
His research investigates the connection between Service level and topics such as Order that intersect with problems in Algorithm and Customer satisfaction.
Jafar Razmi focuses mostly in the field of Multi-objective optimization, narrowing it down to matters related to Genetic algorithm and, in some cases, Operations research.
Jafar Razmi conducted interdisciplinary study in his works that combined Operations research and Operator.
Jafar Razmi interconnects Ranking and Fuzzy logic in the investigation of issues within Mathematical optimization.
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