What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Programming language
His primary areas of study are Artificial intelligence, Engineering management, Cyber-physical system, Operations research and Management science.
László Monostori has included themes like Computer-integrated manufacturing and Machining in his Artificial intelligence study.
His Engineering management research integrates issues from Simulation and Collaboration.
His Operations research research incorporates themes from Control, Production manager, Industrial engineering and Simulation system.
His Management science research is multidisciplinary, incorporating elements of Concept learning and Artifact.
His Information and Communications Technology research includes elements of MTConnect, Underline and Data science.
His most cited work include:
- Cyber-physical systems in manufacturing (656 citations)
- Cyber-physical systems in manufacturing (656 citations)
- Cyber-physical production systems: Roots, expectations and R&D challenges (595 citations)
What are the main themes of his work throughout his whole career to date?
László Monostori mostly deals with Manufacturing engineering, Artificial intelligence, Systems engineering, Computer-integrated manufacturing and Artificial neural network.
His Manufacturing engineering study combines topics from a wide range of disciplines, such as Control and Software engineering.
Within one scientific family, László Monostori focuses on topics pertaining to Scheduling under Artificial intelligence, and may sometimes address concerns connected to Job shop scheduling.
The various areas that László Monostori examines in his Systems engineering study include Production planning and Product.
His biological study spans a wide range of topics, including Distributed manufacturing and Advanced manufacturing.
László Monostori interconnects Control engineering, Expert system, Fuzzy control system and Process in the investigation of issues within Artificial neural network.
He most often published in these fields:
- Manufacturing engineering (22.65%)
- Artificial intelligence (21.76%)
- Systems engineering (19.41%)
What were the highlights of his more recent work (between 2010-2021)?
- Systems engineering (19.41%)
- Production planning (12.35%)
- Product (6.47%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Systems engineering, Production planning, Product, Industrial engineering and Automotive industry.
His Systems engineering research is multidisciplinary, incorporating perspectives in Agile software development, Capacity planning and Risk analysis.
His study on Production planning also encompasses disciplines like
- Scheduling which is related to area like Job shop scheduling, Lead time, Machine learning and Artificial intelligence,
- Decision support system and related Rejection rate and Big data.
The Artificial intelligence study combines topics in areas such as Information and Communications Technology and The Internet.
His study focuses on the intersection of The Internet and fields such as Management science with connections in the field of Process management.
His research in Industrial engineering intersects with topics in Service, Engineering ethics and Industrial technology.
Between 2010 and 2021, his most popular works were:
- Cyber-physical systems in manufacturing (656 citations)
- Cyber-physical systems in manufacturing (656 citations)
- Cyber-physical production systems: Roots, expectations and R&D challenges (595 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Programming language
László Monostori mainly focuses on Systems engineering, Production planning, Cyber-physical system, Artificial intelligence and Volume.
His work on Autonomous logistics as part of general Systems engineering research is frequently linked to Enterprise modelling, thereby connecting diverse disciplines of science.
His research in Production planning intersects with topics in Control engineering, Order, Simulation and Decomposition.
László Monostori integrates several fields in his works, including Cyber-physical system, The Internet, Information and Communications Technology and Engineering management.
The concepts of his The Internet study are interwoven with issues in Data science, MTConnect and Underline.
The study incorporates disciplines such as Lead time, Scheduling, Machine learning and Manufacturing execution system in addition to Artificial intelligence.
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