Volume 9, Issue 1 (Spring 2022)
johe 2022, 9(1): 1-11 |
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Chehreghani S, Gheybi M J, Musazadeh S, Taghavi B. Evaluation of Human Factors of Mining and Construction Transportation Machines Using a Checklist of Ergonomic Indicators. johe 2022; 9 (1) :1-11
URL: http://johe.umsha.ac.ir/article-1-689-en.html
URL: http://johe.umsha.ac.ir/article-1-689-en.html
1- Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran
2- Faculty of Engineering, Urmia University, Urmia, Iran , javad.g1374@gmail.com
2- Faculty of Engineering, Urmia University, Urmia, Iran , javad.g1374@gmail.com
Abstract: (966 Views)
Background and Objective: Operators of mining and construction machinery are more exposed to the risks and accidents of these machines, as well as the possibility of injuries and occupational diseases. Ergonomic design parameters and the current condition of the machines play a significant role in reducing the risk factors associated with occupational injuries.
Materials and Methods: The study population in this study includes 80 machines of the two contractors of road construction and tailings. The total negative score of each machine was calculated using a checklist containing 25 questions on such indicators as cabin access, user location, access to control levers, visibility, as well as environmental factors, such as sound level and vibration sensation in the cabin space, based on the method of scoring cabin ergonomic indicators. In this classification, any machine that receives a lower negative score will be better ergonomically.
Results: The negative score of machines rises with their age. The highest level of dissatisfaction pertained to cabin noise, vibration, cabin and operator seat design, cabin air conditioning, and ease of access, respectively.
Conclusion: Due to financial constraints in most mining and construction companies, it seems that the ergonomics of existing machines can be improved by the implementation of machine maintenance programs using up-to-date and efficient equipment, replacement of outdated parts with new ones, as well as training users to adapt the cabin to personal needs.
Materials and Methods: The study population in this study includes 80 machines of the two contractors of road construction and tailings. The total negative score of each machine was calculated using a checklist containing 25 questions on such indicators as cabin access, user location, access to control levers, visibility, as well as environmental factors, such as sound level and vibration sensation in the cabin space, based on the method of scoring cabin ergonomic indicators. In this classification, any machine that receives a lower negative score will be better ergonomically.
Results: The negative score of machines rises with their age. The highest level of dissatisfaction pertained to cabin noise, vibration, cabin and operator seat design, cabin air conditioning, and ease of access, respectively.
Conclusion: Due to financial constraints in most mining and construction companies, it seems that the ergonomics of existing machines can be improved by the implementation of machine maintenance programs using up-to-date and efficient equipment, replacement of outdated parts with new ones, as well as training users to adapt the cabin to personal needs.
Article number: 1
Type of Study: Research Article |
Subject:
Ergonomics
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