Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network

Fatma Yaşlı; Bersam Bolat

doi:10.1007/978-3-030-51156-2_159

Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network

Fatma Yaşlı^*, Bersam Bolat

^*Corresponding author for this work

Department of Management Engineering

Anadolu University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Underground mining includes multi processes that are performed in labor-intensive way. This study analyses the occupational safety issues surrounding these processes using a fuzzy set approach and Bayesian Network. In order to reduce safety risk, it is necessary to specify, investigate, and measure the risk comprehensively. In the absence of recorded data about the events, fault tree approach has played an effective role to reveal the causes of the events and Fuzzy Bayesian Network provides a causative and probabilistic approach for the events with their importance. The analysis is performed on 13 undesired events that stemmed from equipment injury to explosion occurred during the processes of the mining. Results show that the main factors of occupational safety are not employee error, on the contrary, the managerial approach to the education, planning, and inspection related to occupational health and safety. We believe that this study could be helpful for evaluating the safety risk of the multi-process systems comprehensively and proposing strategic planning for mitigating the risks.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	1363-1372
Number of pages	10
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_159
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Fuzzy Bayesian Network
Occupational safety
Risk analysis
Underground mining

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-51156-2_159

Cite this

Yaşlı, F., & Bolat, B. (2021). Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 1363-1372). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_159

Yaşlı, Fatma ; Bolat, Bersam. / Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 1363-1372 (Advances in Intelligent Systems and Computing).

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title = "Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network",

abstract = "Underground mining includes multi processes that are performed in labor-intensive way. This study analyses the occupational safety issues surrounding these processes using a fuzzy set approach and Bayesian Network. In order to reduce safety risk, it is necessary to specify, investigate, and measure the risk comprehensively. In the absence of recorded data about the events, fault tree approach has played an effective role to reveal the causes of the events and Fuzzy Bayesian Network provides a causative and probabilistic approach for the events with their importance. The analysis is performed on 13 undesired events that stemmed from equipment injury to explosion occurred during the processes of the mining. Results show that the main factors of occupational safety are not employee error, on the contrary, the managerial approach to the education, planning, and inspection related to occupational health and safety. We believe that this study could be helpful for evaluating the safety risk of the multi-process systems comprehensively and proposing strategic planning for mitigating the risks.",

keywords = "Fuzzy Bayesian Network, Occupational safety, Risk analysis, Underground mining",

author = "Fatma Ya{\c s}lı and Bersam Bolat",

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Yaşlı, F & Bolat, B 2021, Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 1363-1372, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_159

Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network. / Yaşlı, Fatma; Bolat, Bersam.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 1363-1372 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network

AU - Yaşlı, Fatma

AU - Bolat, Bersam

PY - 2021

Y1 - 2021

N2 - Underground mining includes multi processes that are performed in labor-intensive way. This study analyses the occupational safety issues surrounding these processes using a fuzzy set approach and Bayesian Network. In order to reduce safety risk, it is necessary to specify, investigate, and measure the risk comprehensively. In the absence of recorded data about the events, fault tree approach has played an effective role to reveal the causes of the events and Fuzzy Bayesian Network provides a causative and probabilistic approach for the events with their importance. The analysis is performed on 13 undesired events that stemmed from equipment injury to explosion occurred during the processes of the mining. Results show that the main factors of occupational safety are not employee error, on the contrary, the managerial approach to the education, planning, and inspection related to occupational health and safety. We believe that this study could be helpful for evaluating the safety risk of the multi-process systems comprehensively and proposing strategic planning for mitigating the risks.

AB - Underground mining includes multi processes that are performed in labor-intensive way. This study analyses the occupational safety issues surrounding these processes using a fuzzy set approach and Bayesian Network. In order to reduce safety risk, it is necessary to specify, investigate, and measure the risk comprehensively. In the absence of recorded data about the events, fault tree approach has played an effective role to reveal the causes of the events and Fuzzy Bayesian Network provides a causative and probabilistic approach for the events with their importance. The analysis is performed on 13 undesired events that stemmed from equipment injury to explosion occurred during the processes of the mining. Results show that the main factors of occupational safety are not employee error, on the contrary, the managerial approach to the education, planning, and inspection related to occupational health and safety. We believe that this study could be helpful for evaluating the safety risk of the multi-process systems comprehensively and proposing strategic planning for mitigating the risks.

KW - Fuzzy Bayesian Network

KW - Occupational safety

KW - Risk analysis

KW - Underground mining

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T3 - Advances in Intelligent Systems and Computing

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BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Yaşlı F, Bolat B. Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 1363-1372. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_159

Evaluation of Occupational Safety Risk in Underground Mining Using Fuzzy Bayesian Network

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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