Equipment plays an important role in open pit mining industry and its cost competence at efficient operation and maintenance techniques centered on reliability can lead to significant cost reduction.The application of...Equipment plays an important role in open pit mining industry and its cost competence at efficient operation and maintenance techniques centered on reliability can lead to significant cost reduction.The application of optimal maintenance process was investigated for minimizing the equipment breakdowns and downtimes in Sungun Copper Mine.It results in the improved efficiency and productivity of the equipment and lowered expenses as well as the increased profit margin.The field operating data of 10 trucks are used to estimate the failure and maintenance profile for each component,and modeling and simulation are accomplished by using reliability block diagram method.Trend analysis was then conducted to select proper probabilistic model for maintenance profile.Then reliability of the system was evaluated and importance of each component was computed by weighted importance measure method.This analysis led to identify the items with critical impact on availability of overall equipment in order to prioritize improvement decisions.Later,the availability of trucks was evaluated using Monte Carlo simulation and it is revealed that the uptime of the trucks is around 11000 h at 12000 operation hours.Finally,uncertainty analysis was performed to account for the uncertainty sources in data and models.展开更多
The purpose of this study is to develop an integrated framework for capacity analysis to address the influence of systematic hazardous factors on the haulage fleet nominal capacity.The proposed model was made to captu...The purpose of this study is to develop an integrated framework for capacity analysis to address the influence of systematic hazardous factors on the haulage fleet nominal capacity.The proposed model was made to capture unexpected risks for mining equipment based upon data-driven method considering different scenarios.Probabilistic risk assessment(PRA)was employed to quantify the loss of production capacity by focusing on severity of failure incidents and maintainability measurements.Discrete-event simulation was configured to characterize the nominal capacity for mining operation.Accordingly,the system capacity was analyzed through the comparison of nominal and actual capacity.A case study was completed to validate the research methodology.The past operation and maintenance field data were collected for shovel operation.The discrete-event simulation was developed to estimate the rate of shovel nominal capacity.Then,the effects of undesirable scenarios were assessed by developing the PRA approach.The research results provide significant insights into how to enhance the production capacity in mines.The analyst gets a well judgment for the crucial elements dealing with high risk levels.A holistic maintenance plan can be developed to mitigate and control the losses.展开更多
基金the support of the Maintenance Department of Mobin Co.Sungun Copper mine
文摘Equipment plays an important role in open pit mining industry and its cost competence at efficient operation and maintenance techniques centered on reliability can lead to significant cost reduction.The application of optimal maintenance process was investigated for minimizing the equipment breakdowns and downtimes in Sungun Copper Mine.It results in the improved efficiency and productivity of the equipment and lowered expenses as well as the increased profit margin.The field operating data of 10 trucks are used to estimate the failure and maintenance profile for each component,and modeling and simulation are accomplished by using reliability block diagram method.Trend analysis was then conducted to select proper probabilistic model for maintenance profile.Then reliability of the system was evaluated and importance of each component was computed by weighted importance measure method.This analysis led to identify the items with critical impact on availability of overall equipment in order to prioritize improvement decisions.Later,the availability of trucks was evaluated using Monte Carlo simulation and it is revealed that the uptime of the trucks is around 11000 h at 12000 operation hours.Finally,uncertainty analysis was performed to account for the uncertainty sources in data and models.
文摘The purpose of this study is to develop an integrated framework for capacity analysis to address the influence of systematic hazardous factors on the haulage fleet nominal capacity.The proposed model was made to capture unexpected risks for mining equipment based upon data-driven method considering different scenarios.Probabilistic risk assessment(PRA)was employed to quantify the loss of production capacity by focusing on severity of failure incidents and maintainability measurements.Discrete-event simulation was configured to characterize the nominal capacity for mining operation.Accordingly,the system capacity was analyzed through the comparison of nominal and actual capacity.A case study was completed to validate the research methodology.The past operation and maintenance field data were collected for shovel operation.The discrete-event simulation was developed to estimate the rate of shovel nominal capacity.Then,the effects of undesirable scenarios were assessed by developing the PRA approach.The research results provide significant insights into how to enhance the production capacity in mines.The analyst gets a well judgment for the crucial elements dealing with high risk levels.A holistic maintenance plan can be developed to mitigate and control the losses.
