Key points are not available for this paper at this time.
Abstract This study aims to provide a digital twin tool for mining and construction companies to evaluate the effect of operator behaviors on the truck-loading process, focusing on swing and bucket rotation. While equipment performance estimators are available, there are few tools to assess the influence of operators. The aim is to create a discrete event simulation (DES) model in Arena® to evaluate how variations in swing and bucket angles affect hydraulic excavator production rates. We validated the DES model using real-world data from a case study to assess the differences in behavior among four operators. Results showed that Operator 1 was the most efficient, with a production rate of 78.2 tons/min. Operators 3 and 4 had lower rates of 58.0 and 55.4 tons/min, respectively, despite having shorter cycle times than Operator 2. These results emphasize that the simulator can elucidate the balance between loading time and payloads.
Défaz et al. (Sat,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: