Download or read book Shovel Truck Systems written by Jacek M. Czaplicki and published by CRC Press. This book was released on 2008-11-17 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive analysis of the exploitation process of shovel-truck systems using modelling, analysis and calculations following specific procedures:- analyzing the reliability and accessibility of shovels- discussing the functioning of a truck-repair shop system- reliability of trucks- existence of haulers reserve- repair shop
Download or read book Equipment Selection of Shovel truck Systems for Anthracite Surface Mining written by Gustavo Santos-Perez and published by . This book was released on with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book OPEN PIT TRUCK SHOVEL HAULAGE SYSTEM SIMULATION written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is aimed at studying the open pit truck- shovel haulage systems using computer simulation approach. The main goal of the study is to enhance the analysis and comparison of heuristic truck dispatching policies currently available and search for an adaptive rule applicable to open pit mines. For this purpose, a stochastic truck dispatching and production simulation program is developed for a medium size open pit mine consisting of several production faces and a single dump site using GPSS/H software. Eight basic rules are modeled in separate program files. The program considers all components of truck cycle and normal distribution is used to model all these variables. The program asks the user to enter the number of trucks initially assigned to each shovel site. Full-factorial simulation experiments are made to investigate the effects of several factors including the dispatching rules, the number of trucks operating, the number of shovels operating, the variability in truck loading, hauling and return times, the distance between shovels and dump site, and availability of shovel and truck resources. The breakdown of shovel and trucks are modeled using exponential distribution. Three performance measures are selected as truck production, overall shovel utilization and overall truck utilizations. Statistical analysis of the simulation experiments is done using ANOVA method with Minitab software. Regression analysis gives coefficient of determination values, R2, of 56.7 %, 84.1 %, and 79.6 % for the three performance measures, respectively. Also, Tukey2s method of mean comparison test is carried out to compare the basic dispatching rules. From the results of statistical analysis, it is concluded that the effects of basic truck dispatching rules on the system performance are not significant. But, the main factors affecting the performances are the number of trucks, the number of shovels, the distance between the shovels and dump site, finally the availability o.
Download or read book Computer Simulation of Shovel truck Haulage Systems Using Multiple Dumping Points written by John Collier Robison and published by . This book was released on 1971 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Prediction of Shovel truck Production written by Stanford University. Department of Civil Engineering and published by . This book was released on 1964 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Simulation of Truck Shovel Dispatching Systems of Surface Mines written by Ron K. Mutesha and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Efficiency of Truck shovel Materials Handling Systems in Surface Mining Through Simulation and Optimization Tools written by Burak Ozdemir and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The mining industry is characterized by high technical and financial risks. First of all, ore quantity within a deposit cannot be, at least in the feasibility stage, fully calculated due to sparse data and ore grade heterogeneity. In the standard approach, all decisions regarding a mining operation are made using estimations or simulations, which add risk to an operation. Furthermore, commodity prices fluctuate widely in the market. As witnessed recently, serious price slumps can be experienced and force the mining companies to operate at a loss or narrow profit margin. As a result, a mining company produces a material, which is not delineated accurately and whose sale price is not known. Therefore, mining companies put a specific emphasis on the best practices such that the effect of uncertainties is minimized. One way to manage this is to maximize the utilization of mining trucks and shovels under uncertainty as the operating and opportunity cost of mining equipment is very high.In this context, this research developed new modelling, simulation and optimization approaches to improve the performance of truck-shovel systems. First, the compliance between truck and shovel fleet was measured by integrating reliability theory and the match factor equation. In doing so, the opportunity cost of mining equipment was reduced by decreasing the waiting time of the trucks and the idle time of the shovels. Also, the research provides reliability analysis for mining equipment and the operators' effect on the reliability change. Moreover, a Petri net simulation model of the materials handling system is created by assessing randomness associated with data variations, ambiguity, and vagueness. The uncertain parameters (such as the cycle time of the trucks, the loading time, ore grade, payload, fillfactor, operators' effect) were included in the simulation model. This model was used to compare the dispatching and the short-term mine planning objectives such as blending in the case of multiple waste dumps and processors. The simulation model also tracked the fuel consumption of the haul trucks. Furthermore, the relationship among the interrelated mining activities (drilling, blasting, loading, hauling and crushing) was investigated. The fragmentation size is the factor which affects the costs and performances of all activities. Hence, it was optimized through a system-wide optimization approach to minimize the total bench production cost in surface mining operations.In conclusion, a novel two-stages real-time optimization framework was proposed using knowledge from the aforementioned aspects. In the first stage, a Petri net simulation model is used to decide the production targets and divide the trucks into sub-fleets for each working zone. The working zones may include more than one shovel. In the second stage, the trucks are simultaneously dispatched to the shovels by linear programming. Also, the conformity of the sub-fleets is dynamically tracked by the match factor value to minimize the shovel idle times and truck queues. If required, the trucks are moved among the sub-fleets. The case studies proved that the proposed approaches reduced actual operating and opportunity costs in mining operations. Thus, utility obtained from truck and shovel systems were increased"--
Download or read book System analysis of shovel truck productivity written by Aung Shein and published by . This book was released on 1988 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Assessment of Accident Risk During Haulage Truck and Power Shovel Maintenance and Recommendations for Improved Safety written by Thomas J. Albin and published by . This book was released on 1990 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Truck shovel Systems as Multiple chain Closed Queueing Networks written by Prakash K. Muduli and published by . This book was released on 1997 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Simulation Model for the Evaluation of Dispatching Policies in Shovel truck Haulage Systems written by Carlos E. Santa Cruz B. and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mine Planning and Equipment Selection 1997 written by R. Farana and published by CRC Press. This book was released on 2020-12-18 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting current and emerging technologies in the field of mine planning and equipment, this volume also covers control and automation for surface and underground mining. A wide range of papers from professionals in Europe, South America, Africa and Australia are featured.
Download or read book Preliminary Economics of Mining a Thick Coal Seam by Dragline Shovel truck and Scraper Mining Systems written by Michael J. Bertoldi and published by . This book was released on 1977 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mining Equipment and Systems written by Jacek M. Czaplicki and published by . This book was released on 2017-06-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explaining the mutual relationships between terotechnology and the theory of exploitation, this book presents the fundamentals of the theory and its role in relation to mining engineering where mine machines and machinery systems are concerned. The book also examines statistical diagnostics, exploitation processes of machines, reliability and reliability models, the methods of modeling, and analysis of the processes of changes of states. The book is of particular interest to students, academics, and lecturers of mining faculties and schools of mining.
Download or read book Concept Design and Testing of a GPS less System for Autonomous Shovel truck Spotting written by Brett James Owens and published by . This book was released on 2013 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Haul truck drivers frequently have difficulties spotting beside shovels. This is typically a combination of reduced visibility and poor mining conditions. Based on first-hand data collected from the Goldstrike Open Pit, it was learned that, on average, 9% of all spotting actions required corrective movements to facilitate loading. This thesis investigates an automated solution to haul truck spotting that does not rely on the use of the satellite global positioning system (GPS), since GPS can perform unreliably. This thesis proposes that if spotting was automated, a significant decrease in cycle times could result. Using conventional algorithms and techniques from the field of mobile robotics, vehicle pose estimation and control algorithms were designed to enable autonomous shovel-truck spotting. The developed algorithms were verified by using both simulation and field testing with real hardware. Tests were performed in analog conditions on an automation-ready Kubota RTV 900 utility truck. When initiated from a representative pose, the RTV successfully spotted to the desired location (within 1 m) in 95% of the conducted trials. The results demonstrate that the proposed approach is a strong candidate for an auto-spot system.
Download or read book Optimization for Maximum Production of Truck shovel Mining System written by V. Srajer and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development of a Computer Oriented Algorithmic Approach for Opencast Mine Dispatch System written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Truck haulage is the most common means used for moving ore/waste in open-pit mining operations, but it is usually the most expensive unit operation in a truck shovel mining system. The state-of-the-art in computing technology has advanced to a point where there are several truck dispatching systems which offer the potential of improving truck-shovel productivity and subsequent savings. Introducing a dispatching system in a mine can achieve operational gains by reducing waiting times and obtain other benefits through better monitoring, optimal routing and grade control. Efficiency of the employed truck-shovel fleet depends on the dispatching strategy in use, the complexity of the truck-shovel system and a variety of other variables. It is a common situation in mining that considerable analysis of the available strategies is undertaken before dispatching is adopted. In most cases, computer simulation is the most applicable and effective method of comparing the alternative dispatching strategies. To develop a computer based algorithm for despatch systems in open cast mines, the program asks the user to enter the number of trucks initially assigned to each shovel site. Experiments are made to investigate the effects of several factors including the dispatching rules, the number of trucks operating, the number of shovels operates, the variability in truck loading, hauling and return times, the distance between shovels and dump site, and availability of shovel and truck resources. The breakdown of shovel and trucks are modeled using exponential distribution. Three performance measures are selected as truck production, overall shovel utilization and overall truck utilizations. But, the main factors affecting the performances are the number of trucks, the number of shovels, the distance between the shovels and dump site, finally the availability of shovel and truck resources. Also, there are significant interaction effects between these main factors.
