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Exploring Causes of Crane Accidents from Incident Reports Using Decision Tree

  • Krantiraditya DhalmahapatraEmail author
  • Kritika Singh
  • Yash Jain
  • J. Maiti
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Electrical Overhead Traveling (EOT) cranes in manufacturing industries serve the purpose of material handling in complex working environment. Complexity involved in human machine interaction at the workplace make it hazard and incident prone. In current study, emerging data mining technique like Decision tree (DT) is adopted to explore the underlying causes involved in incidents happened in the studied plant from the year 2014–2016. Interesting results are obtained from the analysis like number of incidents happened during construction and maintenance activities and in weekend (Saturday, Sunday) are more. Managerial implications are suggested for betterment of safety management system of the studied plant.

Keywords

EOT crane Decision tree CART Occupational safety 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Krantiraditya Dhalmahapatra
    • 1
    Email author
  • Kritika Singh
    • 1
  • Yash Jain
    • 1
  • J. Maiti
    • 1
  1. 1.Indian Institute of Technology KharagpurKharagpurIndia

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