What is he best known for?
The fields of study he is best known for:
- Algorithm
- Mathematical optimization
- Operating system
Frank Werner mostly deals with Mathematical optimization, Flow shop scheduling, Job shop scheduling, Scheduling and Algorithm.
Mathematical optimization is closely attributed to Nurse scheduling problem in his study.
The concepts of his Flow shop scheduling study are interwoven with issues in Stability and Maximum flow problem.
His research in Job shop scheduling intersects with topics in Schedule, Optimization problem, Scheduling and Dynamic priority scheduling.
His Scheduling research incorporates themes from Time complexity and Penalty method.
His studies in Algorithm integrate themes in fields like Genetic algorithm and Neighbourhood graph.
His most cited work include:
- A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 (270 citations)
- A comparison of scheduling algorithms for flexible flow shop problems with unrelated parallel machines, setup times, and dual criteria (99 citations)
- Scheduling with common due date, earliness and tardiness penalties for multimachine problems: A survey (93 citations)
What are the main themes of his work throughout his whole career to date?
Frank Werner mainly investigates Mathematical optimization, Scheduling, Job shop scheduling, Flow shop scheduling and Algorithm.
His work in Mathematical optimization addresses issues such as Single-machine scheduling, which are connected to fields such as Preemption.
Frank Werner works mostly in the field of Scheduling, limiting it down to topics relating to Simulated annealing and, in certain cases, Tabu search.
As a part of the same scientific study, Frank Werner usually deals with the Job shop scheduling, concentrating on Dynamic priority scheduling and frequently concerns with Distributed computing.
His work carried out in the field of Flow shop scheduling brings together such families of science as Beam search, Operations research, Discrete mathematics and Fair-share scheduling.
He interconnects Single server and Combinatorics in the investigation of issues within Algorithm.
He most often published in these fields:
- Mathematical optimization (55.92%)
- Scheduling (42.18%)
- Job shop scheduling (42.18%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (55.92%)
- Scheduling (42.18%)
- Job shop scheduling (42.18%)
In recent papers he was focusing on the following fields of study:
Mathematical optimization, Scheduling, Job shop scheduling, Scheduling and Tardiness are his primary areas of study.
Frank Werner combines subjects such as Schedule, Single-machine scheduling and Job shop with his study of Mathematical optimization.
He has included themes like Upper and lower bounds and Inverse problem in his Scheduling study.
The Job shop scheduling study combines topics in areas such as Time complexity, Heuristics, Metaheuristic and Operations research.
His Scheduling research is multidisciplinary, incorporating elements of Projection, Algorithm, Optimization problem and Optimal control.
His work deals with themes such as Simulated annealing and Open problem, which intersect with Tardiness.
Between 2017 and 2021, his most popular works were:
- Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain (89 citations)
- Flexible job shop scheduling with lot streaming and sublot size optimisation (26 citations)
- The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: Two robust bi-objective models (22 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical optimization
- Operating system
His primary scientific interests are in Job shop scheduling, Mathematical optimization, Scheduling, Scheduling and Industrial engineering.
His Job shop scheduling research is multidisciplinary, incorporating perspectives in Dynamic priority scheduling, Metaheuristic and Operations research.
His Mathematical optimization research includes themes of Fair-share scheduling, Schedule, Tardiness and Job shop.
His Scheduling study combines topics from a wide range of disciplines, such as Optimization algorithm, Digital manufacturing, Flow shop scheduling and Optimal control.
His Scheduling research is multidisciplinary, relying on both Uncertain data and Distributed computing.
His biological study spans a wide range of topics, including Tabu search and Job shop scheduling problem.
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