Mohamed El Amine Boudella
Papers
2
Total Citations
63
H-Index
2
About
Mohamed El Amine Boudella is a researcher whose work sits at the critical intersection of operations research, industrial engineering, and robotics, with a primary focus on optimising logistics for modern manufacturing. His key research area is the design and performance of kitting systems in Just-in-Time (JIT) mixed-model assembly lines—a complex environment where a high variety of components must be delivered precisely when needed. Boudella’s major contribution lies in modelling and optimising hybrid systems that combine human operators with robots to improve efficiency. His most cited work, "Kitting optimisation in Just-in-Time mixed-model assembly lines" (2018, 55 citations), directly addresses the industrial challenge of assigning parts to pickers in a robot–operator setup, providing a mathematical framework to streamline this process. This paper demonstrates his ability to tackle real-world production bottlenecks with rigorous quantitative methods. Further, his earlier model for assessing robotic kitting system performance (2016) laid the groundwork for evaluating such technologies in assembly plants. For students and researchers in production logistics, Boudella’s work offers a clear, applied example of how mathematical modelling can enhance automation and human-robot collaboration in industry.
Research Focus
Key Achievements
Top Papers
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