What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Microeconomics
- Industrial engineering
Iiro Harjunkoski focuses on Scheduling, Mathematical optimization, Integer programming, Industrial engineering and Steel mill.
The Scheduling study which covers Risk analysis that intersects with Management science.
His Mathematical optimization research incorporates themes from Round-robin scheduling and Fair-share scheduling.
The Integer programming study combines topics in areas such as Combinatorial complexity and Minification.
Iiro Harjunkoski has researched Industrial engineering in several fields, including Operation scheduling, Systems engineering and Online optimization.
The Generalized assignment problem research Iiro Harjunkoski does as part of his general Optimization problem study is frequently linked to other disciplines of science, such as Covering problems, therefore creating a link between diverse domains of science.
His most cited work include:
- State-of-the-art review of optimization methods for short-term scheduling of batch processes (637 citations)
- Scope for industrial applications of production scheduling models and solution methods (303 citations)
- Decomposition techniques for multistage scheduling problems using mixed-integer and constraint programming methods (179 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Scheduling, Mathematical optimization, Integer programming, Dynamic priority scheduling and Linear programming.
His research integrates issues of Real-time computing and Industrial engineering in his study of Scheduling.
The study incorporates disciplines such as Algorithm and Job shop scheduling in addition to Mathematical optimization.
His Integer programming study combines topics from a wide range of disciplines, such as Transformation and Job scheduler.
His Dynamic priority scheduling study integrates concerns from other disciplines, such as Control engineering and Fair-share scheduling.
Iiro Harjunkoski interconnects Heuristics, Binary number and Product in the investigation of issues within Linear programming.
He most often published in these fields:
- Scheduling (52.87%)
- Mathematical optimization (50.32%)
- Integer programming (24.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (50.32%)
- Scheduling (52.87%)
- Integer programming (24.84%)
In recent papers he was focusing on the following fields of study:
Iiro Harjunkoski mainly investigates Mathematical optimization, Scheduling, Integer programming, Waste-to-energy and Environmental economics.
In the subject of general Mathematical optimization, his work in Time horizon, Linear programming and State task network is often linked to Convex hull and Term, thereby combining diverse domains of study.
His Scheduling research is multidisciplinary, relying on both Computational complexity theory, Process engineering and Batch production.
By researching both Integer programming and Pipeline, Iiro Harjunkoski produces research that crosses academic boundaries.
Iiro Harjunkoski focuses mostly in the field of Environmental economics, narrowing it down to topics relating to Supply chain network and, in certain cases, Optimal planning and Municipal solid waste management.
As a part of the same scientific study, Iiro Harjunkoski usually deals with the Municipal solid waste, concentrating on Production and frequently concerns with Automotive engineering.
Between 2018 and 2021, his most popular works were:
- Optimal planning of municipal solid waste management systems in an integrated supply chain network (34 citations)
- Optimal planning of municipal solid waste management systems in an integrated supply chain network (34 citations)
- Sustainable supply chain network design for the optimal utilization of municipal solid waste (29 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Microeconomics
- Manufacturing
His primary areas of study are Scheduling, Waste-to-energy, Municipal solid waste, Mathematical optimization and Environmental economics.
His studies deal with areas such as Job scheduler, Reactive scheduling and Biochemical engineering as well as Scheduling.
His Waste-to-energy research includes elements of Supply chain management and Sustainable supply chain.
His Municipal solid waste research incorporates elements of Production and Waste treatment.
His Nonpreemptive multitasking research extends to the thematically linked field of Mathematical optimization.
His work deals with themes such as Profit, Municipal solid waste management, Optimal planning and Supply chain network, which intersect with Environmental economics.
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