One of the key factors in a profitable open-pit mine is the efficiency of the waste disposal system. Using GPS-technology, the truck-dispatching decisions can be made in real-time but the chosen strategy has a crucial...One of the key factors in a profitable open-pit mine is the efficiency of the waste disposal system. Using GPS-technology, the truck-dispatching decisions can be made in real-time but the chosen strategy has a crucial role. Therefore, finding the optimal dispatching strategy for truck-shovel operations is extremely important. Dispatching strategies have been reported in the literature, but the comparison of these strategies is still missing. This paper illustrates the differences between the strategies by conducting a stochastic simulation study based on the data gathered from an actual mine. The findings underline the importance of the global vision in dispatching decisions.展开更多
The development and experiment of a computer-controlled truck dispatching system in Surface mine is presented in this paper.It includes the system overall design, the system working mode design, the selection of the b...The development and experiment of a computer-controlled truck dispatching system in Surface mine is presented in this paper.It includes the system overall design, the system working mode design, the selection of the best truck travel path, the development of truck fleet programming, the development of database management system, and the development of truck real time dispatching, etc. The successful experiment is carried out in Huolinhe surface mine, and the satisfied results are obtained. Application of this system can improve the system production and the mine management. This system is the first one in our country at present.展开更多
According to the demand of modern surface mine production, production, a multi-objective optimum dispatchingmodel is set up in this paper, it includes overall comprehensive optimal model, the goal programming model to...According to the demand of modern surface mine production, production, a multi-objective optimum dispatchingmodel is set up in this paper, it includes overall comprehensive optimal model, the goal programming model to optimize truck fleet in mine haulage system, and the selection of real time dispatching criteria. A surface coal mineis studied as a case in a built system simulation mantel, and the simulation result shows that the model is correct.展开更多
Along with the development of automatical truck dispatching in open pits, it is important to es-tablish general-gurpose criteria for truck dispatching optimization. The existing dispatching criteria are briefly introd...Along with the development of automatical truck dispatching in open pits, it is important to es-tablish general-gurpose criteria for truck dispatching optimization. The existing dispatching criteria are briefly introduced and optimal dispatching criteria for different haulage systems are recommended. Obvious economic results have been obtained from case studies applying the recommended dispatching criteria.展开更多
Freeway logistics plays a pivotal role in economic development.Although the rapid development in big data and artificial inteligence motivates long+haul freeway logistics towards informatization and intellectualizatio...Freeway logistics plays a pivotal role in economic development.Although the rapid development in big data and artificial inteligence motivates long+haul freeway logistics towards informatization and intellectualization,the transportation of bulk commodities still faces serious challenges arisen from dispersed freight demands and the lack of co-ordination among different operators.The present study thereby proposed inteligent algorithms for truck dispatching for freeway logistics.Specifically,our contributions include the establishment of mathematical models for full-truckload(FTL)and less-than-truckload(LTL)transportation modes,respectively,and the introduction of reinforcement learning with deep Q-networks tailored for each transportation mode to improve the decision-making in order acceptance and truck repositioning.Simulation experiments based on the realworld freeway logistics data collected in Guiyang,China show that our algorithms improved operational profitability substantially with a 76%and 30%revenue increase for FTL and LTL modes,respectively,compared with single-stage optimization.These results demonstrate the potential of reinforcement learning in revolutionizing freeway logistics and should lay a foundation for future research in intelligent logistics systems.展开更多
In order to recover ore as much as possible, a computer-controlled truck real-time dispatching model is conducted under the conditions of Qidashan lron Mine. It can not only acquire the optimization of shovel and truc...In order to recover ore as much as possible, a computer-controlled truck real-time dispatching model is conducted under the conditions of Qidashan lron Mine. It can not only acquire the optimization of shovel and truck operation, but also satisfy requirements of blending ores.The simulation results indicate the effectiveness of the model developed.展开更多
Commodity prices have fallen sharply due to the global financial crisis. This has adversely affected the viability of some mining projects, including leading to the possibility of bankruptcy for some companies. These ...Commodity prices have fallen sharply due to the global financial crisis. This has adversely affected the viability of some mining projects, including leading to the possibility of bankruptcy for some companies. These price falls reflect uncertainties and risks associated with mining projects. In recent years, much work has been published related to the application of real options pricing theory to value life-of-mine plans in response to long term financial uncertainty and risk. However, there are uncertainties and risks associated with medium/short-term mining operations. Real options theory can also be applied to tactical decisions involving uncertainties and risks. This paper will investigate the application of real options in the mining industry and present a methodology developed at University of Queensland, Australia, for integrating real options into medium/short-term mine planning and production scheduling. A case study will demonstrate the validity and usefulness of the methodology and techniques developed.展开更多
文摘One of the key factors in a profitable open-pit mine is the efficiency of the waste disposal system. Using GPS-technology, the truck-dispatching decisions can be made in real-time but the chosen strategy has a crucial role. Therefore, finding the optimal dispatching strategy for truck-shovel operations is extremely important. Dispatching strategies have been reported in the literature, but the comparison of these strategies is still missing. This paper illustrates the differences between the strategies by conducting a stochastic simulation study based on the data gathered from an actual mine. The findings underline the importance of the global vision in dispatching decisions.
文摘The development and experiment of a computer-controlled truck dispatching system in Surface mine is presented in this paper.It includes the system overall design, the system working mode design, the selection of the best truck travel path, the development of truck fleet programming, the development of database management system, and the development of truck real time dispatching, etc. The successful experiment is carried out in Huolinhe surface mine, and the satisfied results are obtained. Application of this system can improve the system production and the mine management. This system is the first one in our country at present.
文摘According to the demand of modern surface mine production, production, a multi-objective optimum dispatchingmodel is set up in this paper, it includes overall comprehensive optimal model, the goal programming model to optimize truck fleet in mine haulage system, and the selection of real time dispatching criteria. A surface coal mineis studied as a case in a built system simulation mantel, and the simulation result shows that the model is correct.
文摘Along with the development of automatical truck dispatching in open pits, it is important to es-tablish general-gurpose criteria for truck dispatching optimization. The existing dispatching criteria are briefly introduced and optimal dispatching criteria for different haulage systems are recommended. Obvious economic results have been obtained from case studies applying the recommended dispatching criteria.
基金supported by the National Key Research and Development Program of China(No.2021YFC3001500)Natural Science Foundation of China(No.52302433)+3 种基金Natural Science Foundation of Guangdong Province,China(No.2023A1515012404)Science and Technology Projects in Guangzhou(No.2024A04J3838)Fundamental Research Funds for the Central Universities(No.2022ZYGXZR052)China Postdoctoral Science Foundation(No.2021M701898).
文摘Freeway logistics plays a pivotal role in economic development.Although the rapid development in big data and artificial inteligence motivates long+haul freeway logistics towards informatization and intellectualization,the transportation of bulk commodities still faces serious challenges arisen from dispersed freight demands and the lack of co-ordination among different operators.The present study thereby proposed inteligent algorithms for truck dispatching for freeway logistics.Specifically,our contributions include the establishment of mathematical models for full-truckload(FTL)and less-than-truckload(LTL)transportation modes,respectively,and the introduction of reinforcement learning with deep Q-networks tailored for each transportation mode to improve the decision-making in order acceptance and truck repositioning.Simulation experiments based on the realworld freeway logistics data collected in Guiyang,China show that our algorithms improved operational profitability substantially with a 76%and 30%revenue increase for FTL and LTL modes,respectively,compared with single-stage optimization.These results demonstrate the potential of reinforcement learning in revolutionizing freeway logistics and should lay a foundation for future research in intelligent logistics systems.
文摘In order to recover ore as much as possible, a computer-controlled truck real-time dispatching model is conducted under the conditions of Qidashan lron Mine. It can not only acquire the optimization of shovel and truck operation, but also satisfy requirements of blending ores.The simulation results indicate the effectiveness of the model developed.
文摘Commodity prices have fallen sharply due to the global financial crisis. This has adversely affected the viability of some mining projects, including leading to the possibility of bankruptcy for some companies. These price falls reflect uncertainties and risks associated with mining projects. In recent years, much work has been published related to the application of real options pricing theory to value life-of-mine plans in response to long term financial uncertainty and risk. However, there are uncertainties and risks associated with medium/short-term mining operations. Real options theory can also be applied to tactical decisions involving uncertainties and risks. This paper will investigate the application of real options in the mining industry and present a methodology developed at University of Queensland, Australia, for integrating real options into medium/short-term mine planning and production scheduling. A case study will demonstrate the validity and usefulness of the methodology and techniques developed.
