275
Views
3
CrossRef citations to date
0
Altmetric
Articles

Prioritization of practical solutions for the vibrational health risk reduction of mining trucks using fuzzy decision making

&
Pages 112-126 | Published online: 12 Mar 2019
 

Abstract

The goal of this article was to prioritize the practical solutions for vibrational health risk reduction of truck drivers during mining operation using the multicriteria decision-making (MCDM) techniques. Mining trucks require special consideration because of their specific suspension system, large size, payload capacity, and off-road conditions of mining. In most cases, it is not easy for decision makers to compute verbal and linguistic variables, whose values are expressed in linguistic terms. These uncertainties and ambiguities are well interpreted by using fuzzy set theory. In this study, the MCDM methods were used under fuzzy environment. As a result, seat suspension maintenance was offered as the best solution to attenuate the vibrations and decrease the injuries related to the WBV exposure. The driver training, haul road construction and maintenance, lighting and visibility improvement and work organization were found as the other solutions, respectively.

Acknowledgments

The authors would like to thank workers and managers of Sungun Copper Mine of Iran for their kind support during the field studies and data collections.

Conflict of interest

The authors have no conflict of interest to declare.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 191.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.