What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Linear programming
His main research concerns Mathematical optimization, Petri net, Linear programming, Scheduling and Real-time computing.
His Mathematical optimization research is multidisciplinary, relying on both Batch production and Job shop scheduling.
While the research belongs to areas of Job shop scheduling, Feng Chu spends his time largely on the problem of Job scheduler, intersecting his research to questions surrounding Heuristic and Multi-objective optimization.
Feng Chu combines subjects such as Exact algorithm and Reservation with his study of Linear programming.
His work on Sequence-dependent setup as part of general Scheduling research is frequently linked to Wafer fabrication, Semiconductor device fabrication, Schedule and Preemption, thereby connecting diverse disciplines of science.
His Real-time computing study combines topics in areas such as Oil refinery and Refinery.
His most cited work include:
- Deadlock analysis of Petri nets using siphons and mathematical programming (418 citations)
- A Petri Net Method for Schedulability and Scheduling Problems in Single-Arm Cluster Tools With Wafer Residency Time Constraints (176 citations)
- Petri Net Modeling and Cycle-Time Analysis of Dual-Arm Cluster Tools With Wafer Revisiting (145 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematical optimization, Integer programming, Scheduling, Job shop scheduling and Operations research.
His Mathematical optimization research includes elements of Flow shop scheduling and Reservation.
His studies deal with areas such as Oil refinery, Real-time computing and Petri net as well as Scheduling.
His Job shop scheduling research includes themes of Job scheduler, Multi-objective optimization, Heuristics, Fair-share scheduling and Scheduling.
His biological study deals with issues like Routing, which deal with fields such as Lagrangian relaxation.
His Linear programming research incorporates themes from Solver and Transportation theory.
He most often published in these fields:
- Mathematical optimization (82.52%)
- Integer programming (24.39%)
- Scheduling (22.36%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (82.52%)
- Heuristic (16.26%)
- Operations research (19.51%)
In recent papers he was focusing on the following fields of study:
Feng Chu mainly investigates Mathematical optimization, Heuristic, Operations research, Integer programming and Job shop scheduling.
His Mathematical optimization study frequently links to related topics such as Scheduling.
His Heuristic research incorporates elements of Tardiness and Heuristic.
His research investigates the connection between Operations research and topics such as Stochastic programming that intersect with problems in Approximation algorithm.
His biological study spans a wide range of topics, including Scheduling and Heuristics.
As a member of one scientific family, Feng Chu mostly works in the field of Linear programming, focusing on Routing and, on occasion, Production.
Between 2018 and 2021, his most popular works were:
- A multi-objective distribution-free model and method for stochastic disassembly line balancing problem (54 citations)
- Integrated Production Inventory Routing Planning for Intelligent Food Logistics Systems (27 citations)
- A two-stage stochastic programming for single yard crane scheduling with uncertain release times of retrieval tasks (15 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Linear programming
His scientific interests lie mostly in Mathematical optimization, Heuristic, Genetic algorithm, Scheduling and Scheduling.
The Mathematical optimization study combines topics in areas such as Covariance matrix and Job shop scheduling.
His work carried out in the field of Genetic algorithm brings together such families of science as Coke, Crane scheduling, Coal and Operations research.
His work in Operations research covers topics such as Integer programming which are related to areas like Tabu search.
His research integrates issues of Variable neighborhood search and Travelling salesman problem in his study of Scheduling.
His studies in Scheduling integrate themes in fields like Completion time and Stochastic programming.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
