What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Job shop scheduling
- Algorithm
Ji-Bo Wang focuses on Job shop scheduling, Mathematical optimization, Learning effect, Single-machine scheduling and Time complexity.
His study in Job shop scheduling focuses on Flow shop scheduling in particular.
His study on Minimization problem is often connected to Completion time and Group technology as part of broader study in Mathematical optimization.
Among his research on Learning effect, you can see a combination of other fields of science like Tardiness, General position and Retard.
Among his Single-machine scheduling studies, there is a synthesis of other scientific areas such as Quadratic equation, Schedule, Construct, Heuristics and Function.
Ji-Bo Wang integrates many fields in his works, including Time complexity and Resource allocation.
His most cited work include:
- Single-machine scheduling with a time-dependent learning effect (95 citations)
- Single-machine scheduling with a time-dependent learning effect (95 citations)
- Single-machine scheduling with past-sequence-dependent setup times and time-dependent learning effect (81 citations)
What are the main themes of his work throughout his whole career to date?
Ji-Bo Wang mainly investigates Mathematical optimization, Job shop scheduling, Single-machine scheduling, Learning effect and Flow shop scheduling.
In the field of Mathematical optimization, his study on Scheduling, Minification and Heuristic overlaps with subjects such as Completion time and Rate-monotonic scheduling.
His studies in Job shop scheduling integrate themes in fields like Dynamic priority scheduling and Fair-share scheduling.
His work in Single-machine scheduling is not limited to one particular discipline; it also encompasses Open-shop scheduling.
In general Flow shop scheduling, his work in Johnson's rule is often linked to Branch and bound, Heuristic and Operations research linking many areas of study.
His research investigates the connection with Branch and bound and areas like Speedup which intersect with concerns in Process of elimination and Null-move heuristic.
He most often published in these fields:
- Mathematical optimization (103.62%)
- Job shop scheduling (92.75%)
- Single-machine scheduling (55.80%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (103.62%)
- Learning effect (54.35%)
- Scheduling (11.59%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematical optimization, Learning effect, Scheduling, Job shop scheduling and Operations research.
His work on Assignment problem as part of general Mathematical optimization study is frequently linked to Tardiness, Completion time, Single-machine scheduling and Total cost, bridging the gap between disciplines.
Throughout his Learning effect studies, Ji-Bo Wang incorporates elements of other sciences such as Resource allocation and Flow shop scheduling.
His Scheduling study frequently draws connections to adjacent fields such as Branch and bound.
Among his Job shop scheduling studies, you can observe a synthesis of other disciplines of science such as Group technology, Time complexity and Heuristic.
His Time complexity research is within the category of Algorithm.
Between 2017 and 2021, his most popular works were:
- Common due date assignment scheduling for a no-wait flowshop with convex resource allocation and learning effect (26 citations)
- Research on m‐machine flow shop scheduling with truncated learning effects (26 citations)
- Group scheduling with deteriorating jobs and allotted resource under limited resource availability constraint (24 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Artificial intelligence
His scientific interests lie mostly in Learning effect, Scheduling, Mathematical optimization, Operations research and Due date.
Learning effect is connected with Regular polygon, Job shop scheduling and Branch and bound in his research.
Ji-Bo Wang works in the field of Job shop scheduling, namely Flow shop scheduling.
Scheduling is closely attributed to Optimization problem in his study.
Operations research overlaps with fields such as Machine scheduling, Group technology, Limited resources and Group scheduling in his research.
Ji-Bo Wang integrates many fields, such as Due date and Distributed computing, in his works.
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