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    Item type:Publication,
    Pro-Game: Single-machine sequencing simulator
    (IEEE, 2025)
    Palma-Mendoza, Jaime Alberto
    ;
    Salinas-Navarro, David Ernesto  
    ;
    Arana-Solares, Ivan A.
    This work presents a game-based learning simulator that simulates a single-machine sequencing problem. The simulator provides a dynamic and interactive platform for industrial engineering students to apply disciplinary concepts, such as operations research, production planning, and optimization techniques, in the pursuit of finding optimal sequencing solutions. The implementation of this simulator in an industrial engineering course demonstrated its efficacy as an engaging and relevant pedagogical tool. Feedback collected from students revealed that the activity not only increased their interest and motivation but also significantly deepened their understanding of the complexities involved in sequencing problems. This study concludes that the use of such simulators in the classroom can dramatically enhance the learning experience by making abstract concepts more tangible and by providing students with a hands-on approach to mastering complex topics. The findings suggest that incorporating simulation-based activities into the curriculum is a valuable strategy for enhancing student outcomes in industrial engineering education. ©The authors ©IEE.