Use of the analytic hierarchy process for complex assessment of the work environment

Use of the analytic hierarchy process for complex assessment of the work environment 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Use of the analytic hierarchy process for complex assessment of the work environment

Loading next page...
 
/lp/springer_journal/use-of-the-analytic-hierarchy-process-for-complex-assessment-of-the-N6MGHo2Yzq
Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-015-0296-8
Publisher site
See Article on Publisher Site

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.

Journal

Quality & QuantitySpringer Journals

Published: Dec 17, 2015

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off