SCAT Model Based on Bayesian Networks for Lost-Time Accident Prevention and Rate Reduction in Peruvian Mining Operations

Ana Ziegler-Barranco, Luis Mera-Barco, Vidal Aramburu-Rojas, Carlos Raymundo, Nestor Mamani-Macedo, Francisco Dominguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Several factors affect the activities of the mining industry. For example, accident rates are critical because they affect company ratings in the stock market (Standard & Poors). Considering that the corporate image is directly related to its stakeholders, this study conducts an accident analysis using quantitative and qualitative methods. In this way, the contingency rate is controlled, mitigated, and prevented while serving the needs) of the stakeholders. The Bayesian network method contributes to decision-making through a set of variables and the dependency relationships between them, establishing an earlier probability of unknown variables. Bayesian models have different applications, such as diagnosis, classification, and decision, and establish relationships among variables and cause–effect links. This study uses Bayesian inference to identify the various patterns that influence operator accident rates at a contractor mining company, and therefore, study and assess the possible differences in its future operations.
Original languageAmerican English
Title of host publicationSCAT Model Based on Bayesian Networks for Lost-Time Accident Prevention and Rate Reduction in Peruvian Mining Operations
Pages350-358
Number of pages9
ISBN (Electronic)9783030507909
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2020 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1209 AISC
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/20 → …

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  • Cite this

    Ziegler-Barranco, A., Mera-Barco, L., Aramburu-Rojas, V., Raymundo, C., Mamani-Macedo, N., & Dominguez, F. (2020). SCAT Model Based on Bayesian Networks for Lost-Time Accident Prevention and Rate Reduction in Peruvian Mining Operations. In SCAT Model Based on Bayesian Networks for Lost-Time Accident Prevention and Rate Reduction in Peruvian Mining Operations (pp. 350-358). (Advances in Intelligent Systems and Computing; Vol. 1209 AISC). https://doi.org/10.1007/978-3-030-50791-6_45