What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Operating system
His primary scientific interests are in Mathematical optimization, Operations research, Network planning and design, Transport engineering and Integer programming.
He is interested in Flow network, which is a branch of Mathematical optimization.
He combines subjects such as Port, Computer simulation and Liner shipping with his study of Operations research.
His Network planning and design research incorporates elements of Constraint, Global optimization and Bilevel optimization.
His Transport engineering study incorporates themes from Mean sojourn time, Risk assessment, Private network and Crash.
Qiang Meng has researched Integer programming in several fields, including Linear programming, Linearization and Fleet management.
His most cited work include:
- Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions (247 citations)
- A decision support system for vehicle relocation operations in carsharing systems (245 citations)
- Sailing speed optimization for container ships in a liner shipping network (240 citations)
What are the main themes of his work throughout his whole career to date?
Qiang Meng spends much of his time researching Operations research, Mathematical optimization, Transport engineering, Simulation and Port.
His studies deal with areas such as Network planning and design, Software deployment, Profit, Liner shipping and Linear programming as well as Operations research.
As a member of one scientific family, Qiang Meng mostly works in the field of Mathematical optimization, focusing on Stochastic process and, on occasion, Mathematical model.
His work on Traffic flow as part of general Transport engineering research is frequently linked to Work zone, thereby connecting diverse disciplines of science.
His research in Integer programming intersects with topics in Scheduling, Nonlinear programming and Bilevel optimization.
His work carried out in the field of Flow network brings together such families of science as Value of time and Congestion pricing.
He most often published in these fields:
- Operations research (30.90%)
- Mathematical optimization (30.21%)
- Transport engineering (23.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Operations research (30.90%)
- Mathematical optimization (30.21%)
- Service (3.82%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Operations research, Mathematical optimization, Service, Port and Liner shipping.
His studies in Operations research integrate themes in fields like Schedule, Control, Scheduling and Revenue.
His study on Variational inequality, Integer programming and Branch and price is often connected to Operator as part of broader study in Mathematical optimization.
He interconnects Revenue management, Ticket and Consumer behaviour in the investigation of issues within Service.
The study incorporates disciplines such as Environmental resource management and Air quality index in addition to Port.
His Liner shipping research incorporates themes from Artificial neural network model, Segmented regression, Revenue loss and Autoregressive model.
Between 2018 and 2021, his most popular works were:
- Probabilistic ship domain with applications to ship collision risk assessment (30 citations)
- Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data (24 citations)
- Optimal vessel speed and fleet size for industrial shipping services under the emission control area regulation (20 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Operating system
- Mathematical optimization
Operations research, Service, Mathematical optimization, Collision risk and Marine engineering are his primary areas of study.
In his study, Qiang Meng carries out multidisciplinary Operations research and Aviation research.
The concepts of his Service study are interwoven with issues in Benders' decomposition, Branch and cut, Revenue management and Liner shipping.
His Mathematical optimization study combines topics in areas such as Car ownership, Supply and demand and Congestion pricing.
His research integrates issues of Head, Closest point, Simulation and Collision avoidance in his study of Collision risk.
His Control study integrates concerns from other disciplines, such as Reduction, Risk aversion and Mathematical programming with equilibrium constraints.
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