Occupational trauma in industrial and mining accidents in Iran during 2016–2017

BACKGROUND: Mines are often home to many dangers with a high rate of accidents and occupational diseases. One of the most effective ways to prevent these adverse incidents is to identify and control the influential factors causing human error in design and the ensuing negative consequences. OBJECTIVE: This study aimed to explore, categorize and prioritize factors affecting human errors in the mine design process. METHODS: The study has a mixed-method design combining qualitative and quantitative data. In the qualitative phase, the required data were collected by conducting semi-structured interviews with 12 surface mine designers. The causes of errors were extracted and categorized by the latent content analysis using MAXQDA2022 software. The identified causes in the qualitative phase were sent to expert designers in Q tables, and the data were analyzed by factor analysis. RESULTS: Of the identified codes in the qualitative phase, 40 main themes in five different categories (individual, organizational, external, task, and environmental factors) were determined as causes. The results of the quantitative phase suggest the existence of four different mental patterns regarding the causes of design errors (DEs). The data analysis also shows that organizational and personal factors, particularly supervision and inspection, experience, and technical knowledge, were the strongest causes of DEs and environmental (hotness, coldness, indoor air quality, and noise) and external (work-family conflict) factors being the weakest ones. CONCLUSION: This study not only identifies and categorizes the causes of design errors in the mining industry but also suggests some control strategies for these errors based on the mental patterns of the experts.

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Identifying, classifying and prioritizing factors affecting human errors in the mine design process: A mixed methods research

Mohammadfam

Khajevandi

Dehghani

et al. 2023

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Modeling of Causes and Consequences of Human Error in Mining Processes Design: A Qualitative Study

et al. 2022

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Given the significant role of mining in sustainable development and its intrinsic characteristics, the hazards and potential consequences are a great concern for the industry. A design error is one of the main reasons behind accidents and environmental disasters. This study aims to identify and categorize effective factors influencing design errors and their health, safety, and environmental consequences. The study was carried out based on the theme analysis of 12 Iranian surface miners’ opinions from 14 October to 25 December 2021. The data were collected using semi-structured interviews. The data analysis procedure was conducted based on the Strauss Model using MAXQDA2022. In the open coding section, 120 and 146 primary codes were identified regarding causes and consequences, respectively. As for the codes for causes, 26 main categories and five subcategory codes were identified, including organizational, personal, environmental, occupational, and external factors. As for the identified codes for consequences, 11 subcategories and three main categories were identified, including safety, health, and environmental effects. The findings of the study revealed that among causes, the external factor (p = 0.3703) had the weakest, and the personal factor (p = 0.003) had the strongest correlations with human error in design. In line with the opinion of the expert participants, design error had significant relationships with safety (p = 0.002), environmental (p = 0.01), and health effects (p = 0.034). The cause-consequence model introduced in this study can help many organizations, particularly surface mines, to provide a good basis for achieving sustainable safety, health management, and sustainable development.

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Occupational trauma in industrial and mining accidents in Iran during 2016–2017

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Identifying, classifying and prioritizing factors affecting human errors in the mine design process: A mixed methods research

Identifying, classifying and prioritizing factors affecting human errors in the mine design process: A mixed methods research

Modeling of Causes and Consequences of Human Error in Mining Processes Design: A Qualitative Study

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