Due to production space and operating environment requirements, mine production equipment often breaks down, seriously affecting the mine's production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random …
Application of Optimisation Techniques in Open Pit Mining. Part of the book series: International Series In Operations Research amp; Mana ( (ISOR,volume 99)) The economic viability of the modern day mine is highly dependent on careful planning and management. Declining trends in average ore grades, increasing mining costs and …
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SC Solutions employs the latest advances in optimization techniques together with the physics-based models to perform comprehensive analyses, both in open-loop and in closed-loop with feedback control. These studies indicate how feedback and/or feed-forward control can maximize performance of the existing equipment, and how throughput can …
PDF | On Jan 1, 2022, Rizkyah Erwanda and others published Optimization of Heavy Equipment Costs in Coal Mining Overburden Production Using Match Factor and Linear Programming | Find, read and ...
Conventional mining is an excellent match of mining method and equipment. The result is guaranteed performance. Change in the form of different technology requires change in mining method until the best match is achieved. This paper covers the development of technology and mining method that has occurred in the last five years to arrive at the …
This paper proposes a truck scheduling optimization method for underground mine trackless transportation based on an improved estimation of distribution algorithm to address the truck scheduling problem in the underground mine trackless transportation process. The transportation process of transport trucks in underground mines is analyzed.
MATLAB and Simulink for Mining. Metallurgists and process engineers use MATLAB and Simulink to optimize throughput, minimize downtime, and increase safety. They analyze real-time sensor data, model and simulate mining operations, implement control strategies, and leverage artificial intelligence systems. MATLAB and Simulink help mining engineers:
The optimization of the cycle time to increase productivity at Ruashi Mining was an on-site project investigation conducted from December 2017 to January 2018.
A model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established and revealed that the completion rate of the mine's daily mining plan reached 83.40% without increasing the number of the equipment, while and the ore quality was stable. Due to production space and operating …
The eight research major areas include (i) surface mining methods and heavy mining machinery; (ii) mine ventilation and mine atmospheric control; (iii) explosives engineering; (iv) sustainable development and mine optimization; (v) rock mechanics and ground control; (vi) mineral, coal and materials processing; (vii) minerals and energy economics; …
The proposed stochastic optimization formulation considers geological uncertainty in addition to uncertainty related to equipment performances and truck cycle times. The method is applied at a real-world mining complex, stressing the benefits of optimizing the short-term production schedule and fleet management simultaneously.
Optimizing your construction or mining site often requires a solution just as unique, and that goes much further than just the equipment you buy. Learn how 's site optimization solutions can provide you with the people, technology and processes to help you get the most from your investment.
The optimization of coal flow transportation involves the adjustment of equipment operation parameters under the production operations safety. By adjusting the operation parameters of the equipment, the operation mode is changed, the ineffective operation time of the equipment is decreased, and the energy consumption and waste …
This section delves into adoptable maintenance models and methodologies in the context of predictive maintenance (PdM) within the mining industry. Three main maintenance models, data-driven, physics-based, and knowledge-based, have been discussed, each offering unique ways to diagnose and predict equipment failures.
The application of the proposed method in an underground mine revealed that the completion rate of the mine's daily mining plan reached 83.40% without increasing the amount of equipment, while ...
Low commodity prices have forced many mining companies to explore new strategies to minimize operating costs. One cost-saving strategy is to increase drilling efficiency and performance, specifically in open pit mines; drilling operations are expensive, and they directly and indirectly affect most aspects of the mining process. A substantial …
A simulation-based algorithm for solving surface mines' equipment selection and sizing problem under uncertainty. A robust long-term mine plan depends on the precise prediction of mining fleet productivity and the estimation of the required fleet's size over the mine life, according to a mining industry expert. Expand.
This book describes the fundamental and theoretical concepts of optimization algorithms in a systematic manner, along with their potential applications and implementation strategies in mining engineering. It explains basics of systems engineering, linear programming, and integer linear programming, transportation and assignment algorithms, network analysis, …
The selection of equipment for haulage in underground mines is a challenge due to its impact on both production rates and costs. The selected equipment should create an optimal match for the complete system and the point when equipment is to be added or replaced needs to be identified before the change is made. The use of discrete …
Mining engineers today rely on many techniques from operations research to guide decision-making and to maximize the value of the mine. Techniques including mixed integer linear programming, metaheuristics, and network algorithms are all used to solve different problems throughout mine design and optimization. Techniques based on …
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According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model.
This paper presents an algorithm for optimizing the scheduling of trackless equipment in underground mines. With the shortest working interval and maximum productivity as goals, a genetic algorithm (GA) is used to solve the problem, and obtain the optimal working sequence with the most suitable equipment configuration possible.
In this research, we take a further step and link the simulation model to an optimization framework for the real-time truck dispatching to improve the utilization of the mining equipment and increase the efficiency in production.
The current work focuses on LPDT (Low profile dump trucks) – LHD (Load-haul-dump) cycle time optimization i.e. reduction in total cycle time of hauling ore which results into increase in number of trips of LPDT's for increasing the total production of the mine. The invention of LHDs can be said to be a milestone in mining. Ever since its …
How aggregates process optimization works. No matter the size of the project, we apply our proven four-step method: 1. Consultation. Together, our experts help to define specific goals and uncover areas of opportunity. Detailed analysis and benchmarking are typically performed, using our state-of-art laboratories.
This is due to the fact that optimization in underground mine planning is far more complex than open pit optimization. Optimization in underground mine planning has been executed in four broad areas, namely: development layouts, stope envelopes, production scheduling, and equipment selection and utilization.
Mineral value chains, also known as mining complexes, involve mining, processing, stockpiling, waste management and transportation activities. Their optimization is typically partitioned into separate stages, considered sequentially. An integrated stochastic optimization of these stages has been shown to increase the net …
Our core capabilities in mine development include a range of mine plans, mine design and layout, equipment selection, production sequencing, grade controls and optimization (costs and operational), strategic plans, business plans, and operational plans. Our team of experienced engineers and geoscientists includes experts in multiple planning ...
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A two-stage computational framework is proposed to optimize the radiated noise and weight of a large mining planetary gear reducer under the rated conditions, based on a combination of response surface methodology and multi-objective optimization. The well-established transient dynamic analysis mode …
There are two types of constraints for mining optimization models: (1) resource constraints; the availability of underground mine equipment and other resources or their amount determines an activity to be performed during a period.
This optimization study of maintenance costs for mining heavy equipment was carried out by developing a goal programming model through the tire life time approach.
We propose, implement, and test two approaches for dispatching trucks in an open-pit mining operation. The first approach relies on a nonlinear optimization model that incorporates queueing effects to set target average flow rates between mine locations. The second approach is based on a time-discretized mixed integer programming (MIP) …
The main issue in short-term planning optimisation for underground mining is organising the mining process with limited resources in the form of equipment and materials to satisfy production targets and stable feed grade requirements. In this paper, an integrated optimisation model is proposed based on an individual generation algorithm …
Optimization in underground mine planning has been executed in four broad areas, namely: development layouts, stope envelopes, production scheduling, and equipment selection and utilization.
Semantic Scholar extracted view of "Scheduling optimization of underground mine trackless transportation based on improved estimation of distribution algorithm" by Ning Li et al.
