Maximize Mining Equipment Effectiveness, Minimize Margin Loss
Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure. This paper outlines how predictive maintenance provides mining organizations the intelligence needed to:
Prescriptive Maintenance: Transforming Asset Performance Management
Prescriptive maintenance technology is transforming how companies manage asset downtime. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of those events.
The Digital Twin and the Smart Enterprise
Across the globe, leading organizations are embracing and implementing advanced digital technologies. The digital transformation journey will change the nature of asset intensive industries, particularly the energy and chemicals businesses. In that context, digital twins — virtualized copies of physical assets and their operating behaviors — will play key roles. For the digital twins we create today, a key concept is the power of AI in providing insight and advice against the virtual data. Download this white paper to learn about these essential keys to your digital twin strategy:
Ensure Consistent Operations and Mineral Recovery with Machine Learning
Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.
Multivariate Analytics: The Secret to Better Batch Processes
Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.
Making Capital Project Management Decisions: Minimize Risk, Maximize Profitability
Making big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profitable decisions possible. Aspen Fidelis Reliability is a robust RAM analysis tool that can handle the real-world challenges of today's process industries.
In this paper, learn how Fidelis enables you to maximize the economics of business decisions and accurately predict future asset performance of the whole system.