ACCIDENT CAUSES ANALYSIS IN INDUSTRY BY HYBRIDIZATION METHOD
Amit Kumar Gupta, Vijay Bhan Dinkar
ABSTRACT
A systematic study of accidents in industries is expected to help in identifying the critical environment. Conventional machines are divided into groups which help the maintenance and safety department to focus their attention to the machine that has minimized the injuries of workers. In this work, accidental analysis of Conventional machines data is collected, investigated, and described of a few industries. The accidental case should have been divided into a few categories to obtain the problem. If the machine operation is inspected later will improve damage/accident caused. Analytic Hierarchy Process (AHP) and weighted product method (WPM) were used to find the weightage of the accident. Moreover, simple additive weight (SAW), the simplest and still the most widely used Multiple Attribute Decision Making (MADM) method, was used to identify accident causes in workshops. The results suggest that the proposed method helps to detect accident causes of conventional machines earlier hence taking the safety precaution according to the rank of accident causes.
[Full Text Article]
