Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-the-art

K Rashidi, A Noorizadeh, D Kannan… - Journal of Cleaner …, 2020 - Elsevier
This study conducts a systematic meta-literature review in the field of sustainable supplier
selection. The number of published papers within the domain of sustainable supplier …

[HTML][HTML] Applications of immersive technologies for occupational safety and health training and education: A systematic review

A Babalola, P Manu, C Cheung, A Yunusa-Kaltungo… - Safety science, 2023 - Elsevier
Immersive technologies (ImTs) have emerged as a viable pathway to address poor
occupational safety and health (OSH) performance through training and education of …

Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data

S Sarkar, A Pramanik, J Maiti, G Reniers - Safety science, 2020 - Elsevier
Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …

Mining employees safety and the application of information technology in coal mining

L Yang, GE Birhane, J Zhu, J Geng - Frontiers in public health, 2021 - frontiersin.org
Background: Though the introduction of modern safer underground coal mining methods
and automation, mine accidents still cause loss of lives, time, and money. This paper aims to …

An improved evaluation methodology for mining association rules

F Bao, L Mao, Y Zhu, C **ao, C Xu - Axioms, 2021 - mdpi.com
At present, association rules have been widely used in prediction, personalized
recommendation, risk analysis and other fields. However, it has been pointed out that the …

Identifying the influential contributing factors to micro-enterprises' workplace accidents using a hybrid D-DEMATEL-IFISM method

MA Khorasane, M Alimohammadlou, K Klockner… - Expert Systems with …, 2022 - Elsevier
Introduction Micro-enterprises are acknowledged as one of the most high-risk workplaces
often due to poor safety practices and performance. Despite ongoing efforts to reduce these …

[HTML][HTML] Discovering the underground coal mining accident patterns in Spain from 2003 to 2021: Insights through machine learning techniques

Y Li, L Sanmiquel, Z Zhang, G Zhao, M Bascompta - Safety Science, 2025 - Elsevier
The safety of underground coal mining has always been a global concern, involving the
stable supply of energy and stakes in miners' lives. Lessons learned from historical …

Predictive modeling for occupational safety outcomes and days away from work analysis in mining operations

A Yedla, FD Kakhki, A Jannesari - International journal of environmental …, 2020 - mdpi.com
Mining is known to be one of the most hazardous occupations in the world. Many serious
accidents have occurred worldwide over the years in mining. Although there have been …

Data mining of accidents in Spanish underground mines in the period 2003–2021 caused by a collision with a moving object

L Sanmiquel, JM Rossell, M Bascompta, C Vintró… - Heliyon, 2024 - cell.com
Underground mining is currently one of the Spanish economic sectors with the worst
accident rates. Besides, the most frequent type of accident, and with the most serious …

Risk Assessment in Quarries using Failure Modes and Effects Analysis Method (Case study: West-Azerbaijan Mines)

A Esmaeilzadeh… - Journal of Mining …, 2022 - jme.shahroodut.ac.ir
Iran is one of the countries with the largest number of quarry mines in the world. Diamond
cutting wire is usually used in quarries to cut dimension stone cubes, which is accompanied …