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Research Article Open access CC BY 4.0

Data Exploration and Statistical Analysis of Lost Time Injury in Manufacturing Industries

Oluwaseun O. Ojo, Ifeoluwa D. Oladapo, Tajudeen A. Fasasi, Victor O. Akinsola

Journal of Advances in Mathematics and Computer Science · pp. 89–99 · Published 3 May 2023

10.9734/jamcs/2023/v38i71776

Abstract

Accident (whether major or minor) is unexpected and inevitable due to dynamic nature of works, lack of workmanship, and lots of activities in industries. Some occur due to negligence, lack of knowledge or skill, improper handling of tools or equipment, lackadaisical attitudes towards the safety precautions. These attitudes result to highly prevalent exposure to dangers by employees in some industries. The study identified the industries with peculiar risk cases and safety conditions, design questionnaires applicable to accident reporting cases for the industries, model the percentage effect of injuries, illnesses, and fatalities (variables) on yearly basis, and model lost time injuries, illnesses, and fatalities with statistical analysis against the cost of implications. The software used in this study was SPSS version 25 while model built was Multi-linear regression and a correlation matrix was used to check the relationship between the dependent variable (i.e. cost of implication) and the independent variables (percentage of injuries, illnesses and fatalities). The results showed that, the independent variables have significant effects on the dependent variable. However, while considering the individual effect on the dependent variable, only the percentage of illnesses have significant effect on the dependent variable. This implies that, the industries are less concerned to the workers’ benefits and other allowances which causes fatigue on the workers and have much effect on the costs.

Statistical analysis lost time injuries illnesses fatalities

References (16)

  1. 1 A critical review of virtual and augmented reality (VR/AR) applications in construction safety [DOI]
  2. 2 Review of application of analytic hierarchy process (AHP) in construction [DOI]
  3. 3 Identifying Root Causes of Construction Accidents [DOI]
  4. 4 Construction industry accidents in Spain [DOI]
  5. 5 Use of association rules to explore cause–effect relationships in occupational accidents in the Taiwan construction industry [DOI]
  6. 6 Integrating work sequences and temporary structures into safety planning: Automated scaffolding-related safety hazard identification and prevention in BIM [DOI]
  7. 7 Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry [DOI]
  8. 8 Analysis of construction accidents in Spain, 2003-2008 [DOI]
  9. 9 Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks [DOI]
  10. 10 Analysis of the causes and preventive measures of fatal fall-related accidents in the construction industry [DOI]
  11. 11 Causes of fatal construction accidents in Malaysia [DOI]
  12. 12 Construction fatalities in Singapore [DOI]
  13. 13 Safety Activity Analysis Framework to Evaluate Safety Performance in Construction [DOI]
  14. 14 Multi-linear Regression Models to Predict the Annual Energy Consumption of an Office Building with Different Shapes [DOI]
  15. 15 Proposing and Validating a New Way of Construction Hazard Recognition Training in Academia: Mixed-Method Approach [DOI]
  16. 16 Assessment of Noise Exposure of Sawmill Workers in Southwest, Nigeria [DOI]

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