Application of Markov Chain Models in Evaluating Workers Safety Performance in Power Distribution Company

One of the riskiest industries in Nigeria is the power distribution sector. In addition, there has been less focus on worker, equipment, and work environment safety, thus this research work.  A six-year treatment record and a six-year safety kit cost obtained from Benin Distribution Electricity Company was used in this study. Markov chain model was used to evaluate incident records spanning seven (7) years that included medical care, fire incidents, near misses, risky conduct, and fatalities. The Markov chain model analytical tool revealed that before receiving actual medical attention or suffering a fatality, employees had, on average, engaged in seven (7) near-misses, risky acts, unsafe conditions, or fire occurrences. Workers who are involved in near-misses, unsafe acts, unsafe conditions, or fire incidents have a 0.04 probability of dying while working for the company; on the other hand, they have a 0.96 probability of being involved in an incident that requires medical attention.