Browse > Article

An Empirical Analysis of the Industrial Accident Factors Affecting Manufacturing Performance in Korea  

Park, Hai Chun (Department of Industrial Engineering, Chosun University)
Kim, Jong Rae (Department of Industrial Engineering, Chosun University)
Publication Information
International Journal of Safety / v.2, no.1, 2003 , pp. 45-49 More about this Journal
Abstract
In this paper, we investigated the relationship between the variables of the industrial accident factors and the manufacturing performances such as production quantity, quality, cost, and delivery. For this investigation, we collected the real data from 30 small/medium-sized manufacturing industries by performing a questionnaire survey and a on-site inter-view with the workers. Thirty industries were made up of 10 from each of the following three industries: metal processing, machinery manufacturing, and chemical products manufacturing. The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the tentative conclusion that only two variables such as work skill and load affected all four manufacturing performances and the rest of them two or three performances.
Keywords
empirical analysis; factor analysis; industrial accident; manufacturing performance;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Park, Chae-heung, 'The effects of industrial safety and working environments on productivity', KAIST, 1982
2 Heubrug H. W., 'Industrial Accident Prevention', 5th ed., New York: McGraw-Hill Book co., 1980
3 Park, Hai Chun, 'A Study on the Effect of Production Management on The Industrial Accident.', Juon-ju Uni-versity, 1993
4 Heinrich H. W. & Dan Peterson & Nestor Roos, 'Indus-trial Accident Prevention', 5th ed., McGraw-Hill Book Co., 1981
5 '2002 Industrial Accident Analysis', Seoul: Ministry of Labor, Republic of Korea, 2000
6 Kang byung-seo, 'A statistical analysis for social sci-ence. Seoul: SPSS Academy', 1998
7 Shoaf. C. L., 'An Integrative model for Assessment of Work system and risk (injury, illness).' Univ. of Cincin-nati, 1999