What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Mechanical engineering
His primary scientific interests are in Engineering design process, Systems engineering, New product development, Product design and Product engineering.
He interconnects Domain, Taguchi methods, Fuzzy set, Formal methods and Design methods in the investigation of issues within Engineering design process.
In general Systems engineering study, his work on Function often relates to the realm of Product and Set, thereby connecting several areas of interest.
The New product development study combines topics in areas such as Manufacturing engineering and Product.
His study in Product engineering is interdisciplinary in nature, drawing from both Product lifecycle and Product design specification.
His Product lifecycle study combines topics in areas such as Product and manufacturing information and Product management.
His most cited work include:
- Product Design: Techniques in Reverse Engineering and New Product Development (771 citations)
- Modular product architecture (288 citations)
- Imprecision in Engineering Design (235 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Systems engineering, Engineering design process, New product development, Manufacturing engineering and Process.
While working in this field, Kevin Otto studies both Systems engineering and Set.
His study on Engineering design process also encompasses disciplines like
- Fuzzy set, which have a strong connection to Formal methods,
- Design methods which is related to area like Structure.
Kevin Otto combines subjects such as Concurrent engineering, Product design, Product engineering, Industrial organization and Process management with his study of New product development.
His study looks at the relationship between Product engineering and topics such as Product design specification, which overlap with Product lifecycle.
His work on Process modeling as part of general Process research is frequently linked to Set, thereby connecting diverse disciplines of science.
He most often published in these fields:
- Systems engineering (22.73%)
- Engineering design process (21.59%)
- New product development (16.48%)
What were the highlights of his more recent work (between 2016-2020)?
- Process (12.50%)
- Operations research (5.11%)
- Field (4.55%)
In recent papers he was focusing on the following fields of study:
Process, Operations research, Field, Data science and Sociotechnical system are his primary areas of study.
His Process research integrates issues from Project management, Schedule and Praxis.
His study looks at the intersection of Operations research and topics like Test with Control.
The concepts of his Sociotechnical system study are interwoven with issues in Management science and Process management.
As part of one scientific family, Kevin Otto deals mainly with the area of Management science, narrowing it down to issues related to the Domain, and often Engineering design process.
In his study, which falls under the umbrella issue of Process management, New product development is strongly linked to Modularity.
Between 2016 and 2020, his most popular works were:
- Design prototyping methods: state of the art in strategies, techniques, and guidelines (59 citations)
- Development and validation of energy demand uncertainty model for electric city buses (25 citations)
- Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mechanical engineering
Kevin Otto mainly investigates New product development, Energy consumption, Mechanical products, Manufacturing engineering and Success factors.
He incorporates New product development and Context in his studies.
Energy consumption is integrated with Sizing, Dynamic simulation, Automotive engineering, Order and Range in his study.
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