D
Damien Trentesaux
Researcher at Centre national de la recherche scientifique
Publications - 237
Citations - 5182
Damien Trentesaux is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Scheduling (production processes) & Cyber-physical system. The author has an hindex of 33, co-authored 227 publications receiving 4091 citations. Previous affiliations of Damien Trentesaux include University of Valenciennes and Hainaut-Cambresis & university of lille.
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Distributed control of production systems
TL;DR: This editorial introduces the special issue of the Elsevier journal, Engineering Application of Artificial Intelligence, on Distributed control of production systems, which focuses on the possible applications of distributed approaches for the design, evaluation and implementation of new control architectures for production systems.
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Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach
TL;DR: The lack of attention paid to the correct integration of humans in Intelligent Manufacturing Systems is highlighted and solutions based on Human-Machine Cooperation principles to retain humans in the process control loop with different levels of involvement identified by the levels of automation are provided.
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Dynamic self-organization in holonic multi-agent manufacturing systems
TL;DR: A two-dimensional self-organization mechanism was designed taking the behavioural and structural vectors into consideration, thus allowing truly evolutionary and reconfigurable systems to be achieved that can cope with emergent requirements.
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Sustainability in manufacturing operations scheduling: A state of the art review
TL;DR: A state-of-the-art review of the literature on sustainable manufacturing operations scheduling can be found in this article, where the relevant challenges and issues are discussed in depth, and subsequently urgent problems that must be solved through research in order to meet industry requirements are pointed out.
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Bio-inspired multi-agent systems for reconfigurable manufacturing systems
TL;DR: The paper provides an overview of some of the principles found in nature and biology and analyses the effectiveness of bio-inspired methods, which are used to enhance multi-agent systems to solve complex engineering problems, especially in the manufacturing field.