Abstract
This research will focus on proposing a model based on surveys conducted among people of the affected area. The questions were classified by indicators and variables selected to generate solutions to reduce social conflicts, which arise due to the emission of the particulate matter generated in the area before hauling tasks. Particulate matter is produced by hydraulic shovels, which load mineralized material and discharge it to a dump truck in mining operations. This survey was conducted among people who are specifically located in the Huari region. A study of the Social Conflict Monitoring Model (MMCS) tool was executed. It is used for recording, monitoring, and controlling this type of social conflicts, so that mining operations will not be affected in the short or long term. In addition, this model will help in discovering the opinions and/or comments when they are informed on a new method, which decreases generated particulate matter.
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Filomeno, M., Heracles, J., Aramburu, V., Raymundo, C., Moguerza, J.M. (2020). Model for Monitoring Socioenvironmental Conflicts in Relation to the Emission of Particulate Matter in the Prehauling Phase of a Surface Mine in Peru. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_37
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DOI: https://doi.org/10.1007/978-3-030-20494-5_37
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