White Paper: Seeing Into the Future With Prescriptive Analytics
Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.
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:
Improving Profitability Through APC Benchmarking
Are you wondering how your site stacks up against those of your peers? Do you know what your Advanced Process Control (APC) Score is?
Gain key insights into your APC program and find out how best to measure it against others by reading this white paper. Determining where you stand compared to your competitors is a key step toward closing your APC GAPs and improving your site’s profitability.
Download this white paper and learn how you can also participate in a benchmarking survey and be a part of an exciting study!
Use Advanced Simulation to Improve Processes Involving Solids
Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability.
Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.
Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management
Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.
Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.
Modular Design for Lower CAPEX
Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.
Keep Projects on Track: Improve Communication During Estimating
ACCE is central to your strategy to lower CAPEX for your bids or estimates by being one common bidding and estimating platform across the bidding cycle.
Right Details at the Right Time
When delivering an estimate on time and on budget, learn why it is important to focus on the components that matter most.