Developing a Construction Occupational Safety and Health Risk Assessment Matrix (COSHRAM) with Modifying Risk Factors
Mokhtar Zamimi Ranjan1, B.T. Hang Tuah Baharudin2, Muhammad Razif Mahadi3, Mohd Rafee Baharudin4
1Mokhtar Zamimi Ranjan, Department of Occupational Safety and Health DOSH, Putrajaya, Malaysia.
2B.T. Hang Tuah Baharudin, Department of Mechanical & Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
3Muhammad Razif Mahadi, Department of Biological & Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
4Mohd Rafee Baharudin, Department of Community Health, Faculty of Medicine and Health Science, Universiti Putra Malaysia, Serdang, Malaysia.
Manuscript received on 14 June 2019 | Revised Manuscript received on 10 July 2019 | Manuscript Published on 17 July 2019 | PP: 301-307 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A10490581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Common Risk Assessment Matrix (RAM) is universal and can be apply in any industries. The aims of this paper is to develop a Construction Occupational Safety and Health Risk Assessment Matrix (COSHRAM) which can ideally improve the risk action plan. A new element of modifying factors has been incorporated to systematically justify the residual risks. The COSHRAM was developed on the basis of historical accident data and data collected from the field survey. Six (6) Safety and Health Officer (SHO) divided into three (3) groups were selected to conduct field trials. Each group has conducted risk assessment using both common RAM and COSHRAM. Overall, three (3) types of activities, including twenty-one (21) sub-activities and fifty-nine (59) hazards have been evaluated. Paired t-test showed that result of the assessment between the common RAM and COSHRAM was significantly different (t=17.083, p < 0.05). Therefore, the COSHRAM is statistically acceptable and it resulted in better in terms of estimating the risks than the common RAM.
Keywords: Assessment Matrix, Construction, Modifying Factor, Residual Risk.
Scope of the Article: Healthcare Informatics