Identifying and Prioritizing Factors Affecting Bursting of Dump Truck Tires in Mines using Fuzzy Best-Worst Method

Due to the high number and severity of tire burst accidents of dump trucks, the present work is conducted to identify and prioritize the effective causes of dump truck tire bursts using the fuzzy best-worst method (FBMW). The present work is conducted using content analysis and FBMW. First, by using focus groups and exploring the texts and events, and then these factors are weighted and then prioritized using FBMW. The results of the first phase show that the factors affecting the bursting of dump truck tires can be classified into ۵ main categories of road conditions (six sub-categories), maintenance (six sub-categories), monitoring, and inspection (۱۰ sub-categories), unsafe behavior (seven sub-categories), and tire conditions (five sub-categories). The results of the second phase also show that the tire conditions and unsafe behavior are the most important factors with a mean weight of ۰.۲۲۵۲ and ۰.۱۶۸۱, respectively. The results of the present work show that the most important cause is the monitoring of temperature, pressure, and tire conditions. Therefore, it can be concluded that in order to reduce these accidents, in addition to choosing the right tire, the conditions such as temperature and pressure inspection should be given a high attention.

Keywords:

Dump truck , mine , Fuzzy best-worst method , Content analysis , Accidents