%0 Journal Article
%@ 27389707
%A Kartikeyan, P.N.
%A Azizul, B.
%A Sivabalan, K.
%A Dzulkarnain, Z.
%D 2022
%F scholars:17326
%I Occupational Health and Safety Society of Nepal
%J International Journal of Occupational Safety and Health
%K accident; article; device safety; electric power plant; employee; human; occupational health; organization; productivity; reliability; worker; workplace
%N 4
%P 307-315
%R 10.3126/ijosh.v12i4.42147
%T Scientific Model Development for Machinery Safety using Machine Reliability, Integrity and Availability
%U https://khub.utp.edu.my/scholars/17326/
%V 12
%X Introduction: Machines are equipment that increases productivity and efficiency in a workplace. Machine reliability, integrity, and availability are the most critical factors to ensure machinery safety in a workplace. Methods: Throughout this study, a series of reviews of previous literature are described in relation to the elements of reliability, integrity, and availability. This study examines the methods used to investigate the levels of each element as well as the results of performing the analysis. Each review is chosen from the aspect of the safety feature that can be interpreted from the research study. A scientific model that utilizes an improved bottom-up approach is proposed to further improve the worker�s safety and enhance the productivity of an industry. Results: Research shows that the chosen reviews have positive and negative changes towards the level of machinery safety and a more substantial approach is needed to further strengthen the issue. The proposed model combines the effort of employees and various management organizations as a team. The model is validated using Bias-Variance trade-off method that analyses the proposed model in a 27MW power plant with a selection of employees and management. Conclusion: Model validation proves that the proposed model is an effective method to increase machinery reliability, integrity, and availability in a workplace. The scientific methodology provided will help management as a team to avert mechanical accidents from occurring at an initial stage. © 2022 The authors.
%Z cited By 0