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.
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.
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
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.
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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Cyber-physical systems in manufacturing
L. Monostori;L. Monostori;B. Kádár;T. Bauernhansl;T. Bauernhansl;S. Kondoh.
Cyber-physical production systems: Roots, expectations and R&D challenges
László Monostori;László Monostori.
Agent-based systems for manufacturing
László Monostori;László Monostori;József Váncza;József Váncza;Srt Kumara.
Complexity in engineering design and manufacturing
Waguih ElMaraghy;Hoda ElMaraghy;Tetsuo Tomiyama;Laszlo Monostori.
Value creation and decision-making in sustainable society
K. Ueda;K. Ueda;T. Takenaka;József Váncza;József Váncza;László Monostori;László Monostori.
Machine Learning Approaches to Manufacturing
L. Monostori;A. Markus;H. Van Brussel;E. Westkämpfer.
Hierarchy in distributed shop floor control
Luc Bongaerts;László Monostori;Duncan McFarlane;Botond Kádár.
Emergent synthesis methodologies for manufacturing
K. Ueda;A. Márkus;László Monostori;Hjj Kals.
AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing
Survey paper: A survey of applications and requirements of unique identification systems and RFID techniques
Elisabeth Ilie-Zudor;Zsolt Kemény;Fred van Blommestein;László Monostori.
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