Citas bibligráficas
Chancasanampa, J., Perez, A., Rojas, R., Torres, C. (2024). Modelo ProLab: VR-SAFE, modelo de negocio orientado a reducir el índice de accidentes en minería a través de un servicio integral de capacitación y entrenamiento inmersivo [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/28198
Chancasanampa, J., Perez, A., Rojas, R., Torres, C. Modelo ProLab: VR-SAFE, modelo de negocio orientado a reducir el índice de accidentes en minería a través de un servicio integral de capacitación y entrenamiento inmersivo []. PE: Pontificia Universidad Católica del Perú; 2024. http://hdl.handle.net/20.500.12404/28198
@mastersthesis{renati/539338,
title = "Modelo ProLab: VR-SAFE, modelo de negocio orientado a reducir el índice de accidentes en minería a través de un servicio integral de capacitación y entrenamiento inmersivo",
author = "Torres Seminario, César Augusto",
publisher = "Pontificia Universidad Católica del Perú",
year = "2024"
}
The present investigation focuses on the problem of the high rates of occupational accidents to which mining personnel between 18 and 65 years old who work in large, medium and small formal mining companies in Peru are exposed. Through interviews, different behavior patterns and user needs were identified. The user considers that the training provided on safety issues has helped to reduce the rate, but it still has weaknesses and these can be improved to be more effective, especially for personnel who carry out high-risk work. The solution proposed is a specialized and innovative service that, through the integrated use of technological tools, focuses on improving the behavior, knowledge and attitude of the worker, allowing him to experience real and dangerous simulations of their work environment, so to better understand the risks and procedures in an effective way. In addition to the use of Virtual Reality (VR) as an immersive experience, Artificial Intelligence is incorporated, specifically in the field of Computer Vision, which will help in the automated identification of hazards and risks during training and work execution, improving decision making. The business model, apart from offering an innovative learning service to mining companies and contractors committed to safety, also seeks to comply with the training standards required by the government, while scalability will be achieved of the business model to different sectors and regions. According to the financial analysis, an initial investment of S/ 564,170.00 Soles is required for the consolidation and expansion of the company. In addition, within the key indicators used, the Net Present Value (NPV) gives us the amount of S/ 5’352,774.00 Soles, a social NPV of S/. 13’609,513.23 Soles and an Internal Rate of Return (IRR) of 121.02%, concluding that the business is viable and profitable.
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