Yves Dallery
Papers
2
Total Citations
63
H-Index
2
About
Yves Dallery is a leading authority in operations management and production systems, with a particular focus on the optimization of assembly line logistics. His research centers on the design and performance evaluation of hybrid human–robot kitting systems, a critical area for modern Just-in-Time (JIT) manufacturing. Dallery’s most cited work, “Kitting optimisation in Just-in-Time mixed-model assembly lines” (2018, 55 citations), addresses the challenge of assigning parts to pickers in a system where a robot and an operator work in series. This paper provides a novel optimization model that balances workload and efficiency, directly responding to the increasing complexity of component variety in mixed-model lines. His earlier foundational paper, “A mathematical model to assess the performance of a robotic kitting system in an assembly plant” (2016, 8 citations), establishes a quantitative framework for evaluating such systems. Dallery’s contributions are pivotal for industries transitioning toward automation, offering both theoretical rigor and practical solutions. His work is widely cited by researchers in production engineering and operations research, and it informs the design of resilient, high-throughput assembly environments.
Research Focus
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Top Papers
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