What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Statistics
- Marketing
Masoud Rabbani spends much of his time researching Mathematical optimization, Operations research, Supply chain network, Genetic algorithm and Build to order.
His Simulated annealing study in the realm of Mathematical optimization connects with subjects such as Vehicle routing problem.
His Operations research research incorporates themes from Production schedule, Production, Management science, Sustainable supply chain and Unavailability.
The subject of his Supply chain network research is within the realm of Supply chain.
His work carried out in the field of Genetic algorithm brings together such families of science as Algorithm, Particle swarm optimization and Variation.
His work in Build to order tackles topics such as Structure which are related to areas like Simple, Build to stock and Analytic network process.
His most cited work include:
- A robust optimization approach to closed-loop supply chain network design under uncertainty (408 citations)
- A multi-objective scatter search for a dynamic cell formation problem (93 citations)
- A sustainable second-generation biodiesel supply chain network design problem under risk (83 citations)
What are the main themes of his work throughout his whole career to date?
Masoud Rabbani mainly focuses on Mathematical optimization, Operations research, Supply chain, Genetic algorithm and Production.
His study looks at the relationship between Mathematical optimization and topics such as Mixed model, which overlap with Variation.
The various areas that Masoud Rabbani examines in his Operations research study include Build to order, Waste collection, Scheduling, Operations management and Order.
His biological study spans a wide range of topics, including Structure, Production planning and Analytic hierarchy process, Analytic network process.
His work in Supply chain addresses subjects such as Profit, which are connected to disciplines such as Industrial organization.
His Genetic algorithm research is multidisciplinary, relying on both Sorting, Algorithm, Metaheuristic and Evolutionary algorithm.
He most often published in these fields:
- Mathematical optimization (42.27%)
- Operations research (26.80%)
- Supply chain (17.87%)
What were the highlights of his more recent work (between 2019-2021)?
- Supply chain (17.87%)
- Mathematical optimization (42.27%)
- Supply chain network (4.81%)
In recent papers he was focusing on the following fields of study:
Masoud Rabbani mainly focuses on Supply chain, Mathematical optimization, Supply chain network, Profit and Risk analysis.
He combines subjects such as Total cost, Production, Profitability index and Industrial organization with his study of Supply chain.
He interconnects Sorting and Mixed model in the investigation of issues within Mathematical optimization.
His Supply chain network study combines topics in areas such as Customer satisfaction and Operations research.
His studies deal with areas such as Industrial waste, Sustainable supply chain and Plan as well as Operations research.
His research in Risk analysis intersects with topics in System safety, Order and Robustness.
Between 2019 and 2021, his most popular works were:
- A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design (75 citations)
- Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: Real case study, discussions and policy implications (7 citations)
- A graph theory-based algorithm for a multi-echelon multi-period responsive supply chain network design with lateral-transshipments (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Marketing
Masoud Rabbani mainly investigates Supply chain, Profit, Operations research, Production and Risk analysis.
His Supply chain research incorporates elements of Total cost, Algorithm, Service level and Multi period.
The concepts of his Profit study are interwoven with issues in Mathematical optimization, Industrial organization and Game theory.
He has included themes like Waste collection and Sustainable supply chain in his Operations research study.
His work in Production covers topics such as Linear programming which are related to areas like Decision support system, Time horizon and Preference.
The various areas that Masoud Rabbani examines in his Risk analysis study include System safety, Bayesian network and Robustness.
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