Open AccessPredicting workers’ unsafe workspace with fuzzy logic-based procedures; exploiting injury count in work hours
Author(s) -
Hezekiah O. Adeyemi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/5/052045
Subject(s) - workspace , fuzzy logic , work (physics) , computer science , damages , fuzzy inference system , rating system , reliability engineering , operations management , risk analysis (engineering) , simulation , adaptive neuro fuzzy inference system , artificial intelligence , engineering , fuzzy control system , medicine , mechanical engineering , robot , environmental economics , law , political science , economics
Loss due to accident in any workspace is either material or personal and its associated with costs of damages to machines and also injuries, disabilities and death to workers. In this study, a fuzzy logic based expert system called Workspace Injury Sensitive Expert System (WISES) was developed to predict the unsafe level of any workspace. Two input variables, hours-worked” and “Injury-Rate were fired into the system’s Mamdani inference engine to generate the output as “Workspace-unsafe-ratings”. Data were collected from 20 workers in 20 workspaces and were run with WISES. The outcomes were compared with values obtainable using the existing Workplace Hazards Rating Mathematical Expression (WHRME). There existed a strong relationship (correlation coefficient of 0.710) between WISES and WHRME. The WISES had a statistically significantly lower level of rating (0.50 ± 0.02, SEM= 0.007), t(38) = 1.613, p = 0.115 compared to WHRME (0.60 ± 0.30, SEM=0.004) and the prediction capacity of both the systems were not significantly different. The developed expert system can find applications in any work environment that is prone to accident. It can also enhance the planning ability of managers and decision makers in industries when assessing workplaces and/or work methods disposed to accidents.