Human Error Probability Determination in Blasting Process of Ore Mine Using a Hybrid of HEART and Best-Worst Methods

• Published in: Safety and health at work Vol. 13; no. 3; pp. 326 - 335
• Main Authors: Mirzaei Aliabadi, Mostafa, Mohammadfam, Iraj, Soltanian, Ali Reza, Najafi, Kamran
• Format: Journal Article
• Language: English
• Published: Korea (South) Elsevier B.V 01.09.2022; Occupational Safety and Health Research Institute; Elsevier
• Subjects: Best-worst method; HEART; Human error probability; Mining industry; Original; HEART; Best-worst method; Human error probability; Mining industry
• ISSN: 2093-7911; 2093-7997
• DOI: 10.1016/j.shaw.2022.03.010

One of the important actions for enhancing human reliability in any industry is assessing human error probability (HEP). The HEART technique is a robust tool for calculating HEP in various industries. The traditional HEART has some weaknesses due to expert judgment. For these reasons, a hybrid model is presented in this study to integrate HEART with Best-Worst Method. In this study, the blasting process in an iron ore mine was investigated as a case study. The proposed HEART-BWM was used to increase the sensitivity of APOA calculation. Then the HEP was calculated using conventional HEART formula. A consistency ratio was calculated using BWM. Finally, for verification of the HEART-BWM, HEP calculation was done by traditional HEART and HEART-BWM. In the view of determined HEPs, the results showed that the mean of HEP in the blasting of the iron ore process was 2.57E-01. Checking the full blast of all the holes after the blasting sub-task was the most dangerous task due to the highest HEP value, and it was found 9.646E-01. On the other side, obtaining a permit to receive and transport materials was the most reliable task, and the HEP was 8.54E-04. The results showed a good consistency for the proposed technique. Comparing the two techniques confirmed that the BWM makes the traditional HEART faster and more reliable by performing the basic comparisons.