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


Journal

Archives of environmental & occupational health
ISSN: 2154-4700
Titre abrégé: Arch Environ Occup Health
Pays: United States
ID NLM: 101282564

Informations de publication

Date de publication:
2020
Historique:
pubmed: 14 3 2019
medline: 12 3 2020
entrez: 14 3 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 30862268
doi: 10.1080/19338244.2019.1584085
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112-126

Auteurs

Mohammad Javad Rahimdel (MJ)

Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.

Mehdi Mirzaei (M)

Department of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran.

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Classifications MeSH