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Evaluating the performance and accuracy of incident rate forecasting methods for mining operations. / York, Jason C.; Gernand, Jeremy M. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Vol. 3, No. 4, 041001, 12.2017. Research output: Contribution to journal › Article › peer-review
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In addition to the above three models (ARIMA, ARIMA-LSTM, and ARIMA-LSTM-DP), the individual LSTM method and LSTM model that consider manual operations (LSTM-DP) are used to evaluate the forecasting performances for the three wells. The RMSE, MAPE, MAE, and Sim values of the prediction are calculated.
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In a complicated industry like mining, restricting operations due to weather can cost millions of dollars and have severe indirect effects, like driving up the price of energy — precisely what happened in China in 2022. After unseasonably heavy rain, the country shut mines downin one of its top coal-producing regions. The l…See more on tomorrow.io
WEBImage: . While mine planners need to design and implement plans that are safe and environmentally sustainable, the …
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The industry's "license to operate" is at stake and operating sustainably is the key to keeping that licence. At the same time, a focus on sustainability does not conflict with the mood of ...
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Applications in operations have proved particularly important, including the management of inventories and the effects of sharing forecast information across the …
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Executive summary. In a world increasingly shaped by rapid environmental, regulatory, technological and political changes, the Australian Mining Risk Forecast 2023/24 outlines the new and evolving challenges the sector must grapple with over the coming year – as well as some significant opportunities. This year's analysis reveals some ...
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This paper summarizes international state-of-the-art applications and opportunities for employing and deploying hydrological, geochemical, and isotopic tools in an integrated manner for investigations of mining operations. It is intended to aid formulation of more integrated approaches for evaluating the overall sustainability of …
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This paper reports on a new forecasting method using alternative data mining techniques to improve demand forecasting in the context of a large retail company. In particular, the incremental k-means clustering technique and the RULES-6 classification rule learning algorithm are employed. These methods are simple, effective and …
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Business analytics is an emerging area in modern business decision-making, gaining interest and popularity. This book discusses the models based on fact-based data to measure past business performance in order to guide organizations in visualizing and predicting future business performance and outcomes. Bringing terms, tools, and …
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Semi-autogenous grinding mills play a critical role in the processing stage of many mining operations. They are also one of the most intensive energy consumers of the entire process. Current forecasting techniques of energy consumption base their inferences on feeding ore mineralogical features, SAG dimensions, and operational …
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Overview. Production forecasting is an important tool used to optimise mining operations through fact-based decision making. These techniques are equally applicable to the forecasting of both precious metals and bulk commodity production output. The forecast is based on a model of the process or supply chain.
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Here are the fundamental tenets of forecasting: Aggregated forecasts are more accurate than disaggregated forecasts. Forecasting the demand for a product at a national level is more accurate than forecasting it at each individual retail outlet. The variation of demand at each sales point is smoothed when aggregated with other …
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Investing in Sustainable Mining. The pandemic has accelerated the pace of change in the U.S. mining industry. On display at MINExpo INTERNATIONAL® 2021, minerals mining operations are adapting to new ways of working and investing in smart mining technologies that provide for a safer and more efficient production process.. An …
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PDF | From its foundation, operational research (OR) has made many substantial contributions to practical forecasting in …
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Underground mining operations in the area of a rock mass affected by previous exploitation may cause additional deformations to appear on the surface. The size of these deformations can be significant, and their character is often non-linear. The nature of these deformations cannot be justified solely by the impact of current mining …
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A focus only on financial inputs can mask big issues with companies' forecasting processes. By contrast, incorporating real-world operations insights into the financial-forecasting process can help CFOs and finance teams predict bottom-line issues early, based on a careful assessment of quality, operations, and customer-retention …
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Heap leaching is responsible for approximately 21 percent — 3.9 million metric tonnes — of copper production and 9 percent — 270 metric tonnes or 8.7 million ounces — of gold production worldwide. Given metal price assumptions of $2.25/lb for copper and $1,250/oz for gold, these portions of global production generate revenues of …
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As seen in Deloitte's Intelligent Mining vision (figure 2), this may result in accelerated technology investment in three domains: intelligent operations to improve the operational process through …
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For over 50 years RPMGlobal has been Advancing Mining with technology solutions that provide a step-change to the accepted process.We help mining operations extract more value through innovative software solutions and mining experience. Guided by our underlying principles of mining expertise, innovation and sustainability, we strive to …
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Deloitte Consulting's Mining & Metals practice has helped clients transform to integrated operations through the adoption of digital technologies, artificial intelligence, and analytics solutions. Our future of work assets examine what future mining jobs will look like and enable the fundamental redesign of work, workforce, and workplace.
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A 3D ocean optical forecast system called TODS (Tactical Ocean Data System) has been developed to determine the performance of underwater LIDAR detection/identification systems. ... D. Ladner, R. Arnone, J. Jolliff, B. Casey, and K. Matulewski "Forecasting the ocean optical environment in support of Navy mine warfare …
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open access. Highlights. •. The current state and challenges of applying predictive maintenance (PdM) to mining equipment are discussed. •. A 3-phased …
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Get A Mining Forecast App In today's technological day and age, it's easy for mining operations to mitigate weather-related risks. Advanced weather detection networks that offer total lightning detection, convective radar alternatives for hard-to-reach areas, and hyperlocal weather forecasts are the best fits for the multi-faceted industry ...
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This study presents a data mining analysis of forecasting patterns in a supply chain. Multiple customers who are auto manufacturers order from a large auto parts supplier. The auto manufacturers provide forecasts for future orders and update them before the due date. The supplier uses these forecasts to plan production in advance. The …
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Learn to create systems and processes for data collection, mining, and forecasting to improve business decision-making. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Data Forecasting and Mining Concentration is stackable with the following master's programs : Master of Information Technology and Analytics, MBA.
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Each has its special use, and care must be taken to select the correct technique for a particular application. The manager as well as the forecaster has a role to play in technique selection; and ...
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2. Problem statement . Electric load forecasting is very important in power system operation such as during start-up and shut-down schedules of generating units as well as for overhaul planning [] and spot market energy pricing [].In normal working condition, system generating capacity should meet load requirement to avoid adding …
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Fig. 1 shows that our monthly tone measure for the mining industry is reasonably stationary, as evidenced by rejecting the unit root hypothesis at tight significance levels, using both the Phillips-Peron and Augmented Dickey-Fuller tests. Notably, there are no discernible spikes during significant commodity market shocks, such as the 2001 and …
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Accurate prediction of dust concentration is crucial for fostering sustainable development and elevating safety and environmental standards within mining operations. This research introduces a novel method that integrates mining production intensity parameters with meteorological factors to enhance dust concentration prediction in open …
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Lumada APM ensures that "maintain, repair or replace" decisions are soundly based on actual asset conditions and their criticality to operations. Download the case study to learn how Lumada APM's next-level prognostics solutions enable organizations to: Manage asset health cost-effectively. Determine repair and replace priorities.
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