Forecasting Unsafe Level of Work Stations with Injuries Frequency Measurement Criterion: A Fuzzy Logic Approach

Authors

  • Hezekiah O. Adeyemi Department of Mechanical Engineering, Olabisi Onabanjo University, Nigeria
  • Taofeek A. Yusuf Mechanical Engineering Department, University of Agriculture, Makurdi Nigeria
  • Martins O. Osifeko Department of Computer Engineering, Olabisi Onabanjo University, Nigeria

DOI:

https://doi.org/10.15282/ijets.v5i1.2830

Abstract

In this study, a fuzzy-based expert system called Accident Prone Workstations Prediction Expert System (APWAPES) was developed to forecast unsafe level of work stations. APWAPES used fuzzy set
theory to make decisions based on the “Total-hours-worked” and “Injury-Count” as inputs and “Workstation-unsafe-ratings” as the output. Data collected from subjects in 20 workstations were run with APWAPES. The
results were compared with an Existing Mathematical Model (EME). The validation result showed that there was a strong positive relationship between the EME and the developed APWAPES with a correlation
coefficient of 0.710. The t-test result for mean difference showed that EME had a statistically significantly higher level of rating (0.60 ± 0.30, SEM=0.004) compared to APWAPES (0.50 ± 0.02, SEM= 0.007), t(38) =
1.613, p = 0.115. With a significance level of 0.001 at 95% confidence, the APWAPES and the EME predicted values were not significantly different. The study developed an expert system, APWAPES, which
can find its applications in any work place where hazards occur and capable of helping managers of industries, to measure work places and/or activities disposed to accidents.

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Published

2018-05-23

Issue

Vol. 5 No. 1 (2018)

Section

Articles