A statistical study of occupational accidents in the manufacturing industry in Turkey

A statistical study of occupational accidents in the manufacturing industry in Turkey One of the most important field of economy is manufacturing. The highest number of occupational accidents occurs in manufacturing. In Turkey, more than half of these accidents occur in this field (56% in 2012). This study aims to identify the contributory factors of such accidents and examine the relationship between Lost Work Days (LWD), Post-Accident State (PAS) and Type of Accidents (TA) using data mining, correspondence analysis and chi-square test. The analyses have shown the most frequently encountered TA is “pressing of the body or members between two objects” and its predictors are Sector, Size, and Age, Experience, Hours Day. This type of accident is most likely to occur in sector 25 (manufacture of fabricated metal product, except machinery and equipment), with a higher likelihood for the businesses with fewer than 500 employees and in the employees aged less than 40. As a result, the incapability of work is found to be as a period of 30–59 days. Consequently, it is recommended that higher premium ratios should be imposed to urge the businesses to take measures and supervision practices by the social security supervisors should be more frequent. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Industrial Ergonomics Elsevier

A statistical study of occupational accidents in the manufacturing industry in Turkey

Loading next page...
 
/lp/elsevier/a-statistical-study-of-occupational-accidents-in-the-manufacturing-1GhQ201Z1O
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0169-8141
eISSN
1872-8219
D.O.I.
10.1016/j.ergon.2018.02.012
Publisher site
See Article on Publisher Site

Abstract

One of the most important field of economy is manufacturing. The highest number of occupational accidents occurs in manufacturing. In Turkey, more than half of these accidents occur in this field (56% in 2012). This study aims to identify the contributory factors of such accidents and examine the relationship between Lost Work Days (LWD), Post-Accident State (PAS) and Type of Accidents (TA) using data mining, correspondence analysis and chi-square test. The analyses have shown the most frequently encountered TA is “pressing of the body or members between two objects” and its predictors are Sector, Size, and Age, Experience, Hours Day. This type of accident is most likely to occur in sector 25 (manufacture of fabricated metal product, except machinery and equipment), with a higher likelihood for the businesses with fewer than 500 employees and in the employees aged less than 40. As a result, the incapability of work is found to be as a period of 30–59 days. Consequently, it is recommended that higher premium ratios should be imposed to urge the businesses to take measures and supervision practices by the social security supervisors should be more frequent.

Journal

International Journal of Industrial ErgonomicsElsevier

Published: Jul 1, 2018

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