Use of the analytic hierarchy process for complex assessment of the work environment
Richard Hnilica (),
Martin Jankovský,
Miroslav Dado,
Valéria Messingerová,
Marián Schwarz and
Darina Veverková
Additional contact information
Richard Hnilica: Technical University in Zvolen
Martin Jankovský: Technical University in Zvolen
Miroslav Dado: Technical University in Zvolen
Valéria Messingerová: Technical University in Zvolen
Marián Schwarz: Technical University in Zvolen
Darina Veverková: Technical University in Zvolen
Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 1, No 7, 93-101
Abstract:
Abstract The aim of this paper is to outline possibilities for the use of multiple-criteria decision making methods for complex assessment of the work environment. We focused on quantitative pairwise comparison of criteria, taking basic input parameters from a model of complex risk assessment used in selected forestry activities. The model is based on quantification of risk factors (noise, temperature, vibrations and mental stress), which have the most important effect on health and well-being of forest machines operators. Operators are simultaneously influenced by aforementioned risk factors and mutual interaction of all these risk factors was assessed. Proceeding from taken measurements and following experimental assessment it is possible to state that the result of complex assessment by multiple-criteria method influences significantly the determination of weight coefficient of importance. Higher value of weight coefficient means that certain risk factors have a bigger influence on the result and vice versa, risk factors with a lower value of weight coefficient affect the result less. For this reason it is necessary to approach conscientiously and responsibly the assessment of individual pairs of risk factors in Saaty’s matrix.
Keywords: Analytic hierarchy process AHP; Risk factors; Work environment; Complex assessment; Multi-criteria decision process (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11135-015-0296-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:51:y:2017:i:1:d:10.1007_s11135-015-0296-8
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-015-0296-8
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().