What is he best known for?
The fields of study he is best known for:
- Statistics
- Operating system
- Computer network
Reliability engineering, Imperfect preventive maintenance, Expected cost, Mathematical optimization and Reliability theory are his primary areas of study. His work in the fields of Failure rate overlaps with other areas such as Average cost. His Imperfect preventive maintenance study combines topics from a wide range of disciplines, such as Periodic preventive maintenance and Unit.
His biological study spans a wide range of topics, including Span, Block, Reliability and Operations research. His research in Reliability theory focuses on subjects like Processor scheduling, which are connected to Mean time between failures and Fault detection and isolation. His Preventive maintenance research is multidisciplinary, incorporating elements of Risk analysis and Weibull distribution.
His most cited work include:
- Maintenance Theory of Reliability (385 citations)
- Sequential imperfect preventive maintenance policies (289 citations)
- The Discrete Weibull Distribution (282 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Reliability engineering, Expected cost, Reliability theory, Mathematical optimization and Preventive maintenance. Toshio Nakagawa interconnects Spare part, Reliability, Unit and Reliability in the investigation of issues within Reliability engineering. His work in Expected cost addresses issues such as Operations research, which are connected to fields such as Stochastic modelling.
Toshio Nakagawa has researched Reliability theory in several fields, including Stochastic process and Applied mathematics. His studies link Weibull distribution with Mathematical optimization. His Preventive maintenance research includes elements of Risk analysis and Optimal maintenance.
He most often published in these fields:
- Reliability engineering (32.24%)
- Expected cost (22.09%)
- Reliability theory (15.82%)
What were the highlights of his more recent work (between 2011-2021)?
- Reliability engineering (32.24%)
- Mathematical optimization (15.22%)
- Reliability (11.34%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Reliability engineering, Mathematical optimization, Reliability, Expected cost and Random replacement. The Reliability engineering study which covers Reliability theory that intersects with Operations research. His Mathematical optimization research integrates issues from Algorithm and Weibull distribution.
His Reliability research is multidisciplinary, relying on both Replication, Distributed computing, Database, Parallel computing and Interval. As part of one scientific family, Toshio Nakagawa deals mainly with the area of Expected cost, narrowing it down to issues related to the Exponential function, and often Backup and Real-time computing. His study in the field of Reliability model is also linked to topics like Graduate students.
Between 2011 and 2021, his most popular works were:
- Optimization problems of replacement first or last in reliability theory (88 citations)
- Random Maintenance Policies (43 citations)
- Age replacement models: A summary with new perspectives and methods (37 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Operating system
- Computer network
His scientific interests lie mostly in Reliability engineering, Mathematical optimization, Expected cost, Operations research and Preventive maintenance. His biological study spans a wide range of topics, including Reliability theory, Parallel computing and Bivariate analysis. His work carried out in the field of Mathematical optimization brings together such families of science as Algorithm, Weibull distribution, Dynamic priority scheduling and Fair-share scheduling.
His Expected cost research includes themes of Limit, Optimal maintenance, Interval and Exponential function. His studies deal with areas such as Preventive replacement, Standard model and Failure rate as well as Operations research. His work in the fields of Preventive maintenance, such as Imperfect preventive maintenance, overlaps with other areas such as Shock.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
