What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Artificial intelligence
Mathematical optimization, Job shop scheduling, Algorithm, Real-time computing and Schedule are his primary areas of study.
His study explores the link between Mathematical optimization and topics such as Flow shop scheduling that cross with problems in Two-level scheduling.
His Job shop scheduling research incorporates elements of Computational complexity theory and Dynamic priority scheduling.
His studies deal with areas such as Column generation and Heuristic as well as Algorithm.
As part of the same scientific family, Chengbin Chu usually focuses on Branch and bound, concentrating on Tardiness and intersecting with Bounding overwatch.
Within one scientific family, Chengbin Chu focuses on topics pertaining to Due date under Scheduling, and may sometimes address concerns connected to Deadline-monotonic scheduling.
His most cited work include:
- A survey of the state-of-the-art of common due date assignment and scheduling research (368 citations)
- A survey of scheduling with deterministic machine availability constraints (291 citations)
- A planning and scheduling problem for an operating theatre using an open scheduling strategy (186 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Mathematical optimization, Job shop scheduling, Algorithm, Operations research and Branch and bound.
His Mathematical optimization research is multidisciplinary, incorporating elements of Dynamic priority scheduling and Flow shop scheduling.
His biological study deals with issues like Heuristics, which deal with fields such as Heuristic.
His research investigates the connection between Job shop scheduling and topics such as Real-time computing that intersect with problems in Petri net.
As part of his studies on Algorithm, he frequently links adjacent subjects like Tardiness.
His Branch and bound study combines topics from a wide range of disciplines, such as Exact algorithm and Bounding overwatch.
He most often published in these fields:
- Mathematical optimization (67.21%)
- Job shop scheduling (37.05%)
- Algorithm (20.98%)
What were the highlights of his more recent work (between 2016-2021)?
- Mathematical optimization (67.21%)
- Integer programming (10.82%)
- Job shop scheduling (37.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Integer programming, Job shop scheduling, Operations research and Linear programming.
His Mathematical optimization study incorporates themes from Service level and Flow shop scheduling.
His study looks at the relationship between Integer programming and fields such as Line balancing, as well as how they intersect with chemical problems.
The Job shop scheduling study which covers Reduction that intersects with Transshipment, Speedup and Human–computer interaction.
His study looks at the intersection of Operations research and topics like Dynamic programming with Microeconomics and Iterated local search.
His Linear programming research is multidisciplinary, relying on both Hoist scheduling and Benchmark.
Between 2016 and 2021, his most popular works were:
- A survey of models and algorithms for optimizing shared mobility (62 citations)
- RFID-enabled flexible warehousing (31 citations)
- RFID-enabled flexible warehousing (31 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Artificial intelligence
- Algorithm
Chengbin Chu spends much of his time researching Mathematical optimization, Distributed computing, Human multitasking, Decision support system and Lead time.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Supply chain management, Job shop scheduling and Benchmark.
His Job shop scheduling research includes themes of Scheduling and Computation.
The Decision support system study combines topics in areas such as Constraint, Database and Knowledge-based systems.
His Operations management research is multidisciplinary, incorporating perspectives in Linear programming and Dynamic programming.
Chengbin Chu has researched Operations research in several fields, including Genetic algorithm, Crane scheduling, Global logistics and Operational efficiency.
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