Tag Archives: Asset Performance Management

Hastings Deering starts APM equipment journey with load and haul

Hastings Deering, a distributor of new, used and rental Caterpillar machinery and services, has launched an Asset Performance Management (APM) solution that, it says, bolsters the company’s strategy of helping customers use Cat equipment more productively.

Hastings Deering Asset Support Supervisor, Kurt Pidgeon, says the new APM solution complements the company’s traditional value proposition.

“Hastings Deering has always been very effective with analysing the reliability and availability of equipment,” he says. “However, customers buy machines for productivity, so we decided to start providing productivity solutions to complement existing traditional reliability analysis that we perform.”

Starting with load and haul machinery and expanding into other operational areas, the APM solution delivers a wide range of reports and recommendations to improve productivity, according to the company.

APM is concerned with how the entire mining circuit is performing as a system, rather than a single facet of an operation, or individual machine, the company says.

“There are many information systems that aim to bolster productivity, but APM is unique in providing insights into how the whole circuit is performing as a system and specific recommendations on how to improve,” Pidgeon explains. “We help customers achieve their maximum sustainable production rate circuit-by-circuit as the mine plan evolves, as opposed to looking at one machine at a time.”

He added: “Analysing machine productivity has been done well for many years. Key performance indicators like truck payload have been a strong area of focus, for example. What if trucks are not the constraining factor on site and it is the load tool instead?

“Using APM, we focus on the broader mining operation so that we can better understand exactly where the improvement opportunities are.”

APM analyses the data from an entire mining operation to provide in-depth insights that lead to productivity and efficiency boosts, according to the company.

For Pidgeon, this means finding areas of improvement that may otherwise go unnoticed.

“Mining clients receive insights from the APM software via a team of specialists here,” he explains. “That leads to productivity improvements and efficiencies gained.”

Hastings Deering will soon expand the APM platform to other disciplines, such as drill and blast, with the aim of supporting the entire value chain of an operation.

“We’re about to start a module for the analysis for drill and blast processes,” Pidgeon says. “Further to this, we are developing analytical tools for each of the processes in mining.

“This will also include wash plant and material handling aspects to properly understand how one part of the value chain affects the performance of another. You need the complete picture to find the weakest link in that whole value chain.”

Remote operations have become critical to sustain mine operations this year in response to the restrictions enforced by the COVID-19 pandemic, and Hastings Deering has developed the APM solution to enable miners to analyse performance remotely when required.

“Remote management of mining is well accepted now,” Pidgeon says. “Working remotely in all facets of productivity monitoring is no different.

“It certainly enables clients to review site operations without having to be there. Mining is an industry where people work and live in different locations. Minimising travel if we can do so is an important thing to do at this time.”

Uptake, Symboticware to provide miners with predictive maintenance solution

Uptake says it has partnered with Symboticware to provide mining companies with an end-to-end, integrated artificial intelligence (AI) and data science solution to increase the productivity of mobile mining equipment.

The joint solution combines Symboticware’s SymBot® device, which provides data capture from mining fleets, and Uptake’s Asset Performance Management (APM) software, Asset IO, which applies AI to surface predictive insights from the data.

The combination of the two, according to Uptake, arms users with:

  • Data-driven cost reductions: For an average medium-sized mining site, Asset IO can save as much as $2.5 million/y in haul truck maintenance, fuel and tyre costs alone. Additionally, operator and fleet productivity is optimised with the help of benchmarking and informed decision-making;
  • Actionable insights for continuous improvement: Asset IO quickly turns data into actionable, AI-driven insights. The software deploys AI models that are pre-trained to drive greater performance, reliability and availability of the mobile mining fleet; and
  • Greater visibility into assets: collect data from sensors, store time-stamped values in an internal database and seamlessly transmit data for AI analysis.

Ash Agarwal, Director of Mining at Uptake, said: “Optimal machine health and performance is critical to getting the most out of investments in equipment, and to achieving a high return on capital employed. Performing regular maintenance on haul trucks can be labour- and time-intensive, with the added cost of unplanned downtime having a significant impact on throughput and operating expenses.

“This integrated solution provides the best of industrial IoT and AI to reduce downtime, minimise operating expenses and aid in the development of a comprehensive maintenance program.”

Kirk Petroski, President and CEO of Symboticware, said industrial data is only as good as the insights that can be gleaned from it. “This solution delivers predictive insights that are both accurate and actionable, providing users with sufficient lead time into maintenance issues so they can be ahead of the curve. That ability to proactively mitigate maintenance problems yields a proven, measurable increase in productivity,” he said.

GE Digital to unlock and leverage machine data with new IIoT division

GE has announced plans to establish a new, independent company focused on building a comprehensive Industrial Internet of Things (IIoT) software portfolio.

The company, GE Digital, has a head start with $1.2 billion in annual software revenue already locked in, plus an existing global industrial customer base.

GE Digital is intended to be a GE wholly-owned, independently run business with a new brand and identity, its own equity structure, and its own Board of Directors, the company said. It plans to unlock machine data to turn valuable insights into powerful business outcomes, according to the company.

“The proposed new organisation aims to bring together GE Digital’s industry-leading IIoT solutions including the Predix platform, Asset Performance Management, Historian, Automation (HMI/SCADA), Manufacturing Execution Systems, Operations Performance Management, and the GE Power Digital and Grid Software Solutions businesses,” GE said.

In addition to this spinoff, GE announced an agreement to sell a majority stake in ServiceMax, a provider of field service management software, to Silver Lake, a private equity firm focused on technology investments.

“With these actions, GE will sharpen the focus of its IIoT portfolio to position the new business for future growth,” GE said, adding the transaction was expected to close in the March quarter, subject to customary closing conditions and regulatory approvals.

GE Chairman and CEO Lawrence Culp Jr, said: “As an early leader in IIoT, GE has built a strong business with its industrial customers thanks to deep domain knowledge and software expertise.”

The IIoT is a nascent market but is expected to have significant growth, GE said.

“GE’s independent software business moves into the market with a strong position, building on the company’s experience and success developing solutions to drive the outcomes that matter most for asset-intensive industries,” it added.

GE’s new IIoT business would provide software for these asset intensive industries with a focus on the power, renewables, aviation, oil and gas, food and beverage, chemicals, consumer packaged goods and mining industries.

“These industries build on GE’s foundation and expertise as a leading MES provider for nearly 20 years. With an already thriving business in these areas, the new digital organisation is positioned to accelerate GE’s ability to deliver IIoT solutions that meet the needs of these industrial customers, addressing the most impactful aspects of the asset lifecycle,” the company said.

With GE Digital CEO, Bill Ruh, deciding to depart GE to pursue other opportunities, the company plans to conduct an internal and external search to identify the CEO for this new independent company.

GE Digital’s Predix portfolio – including the leading Asset Performance Management and Field Service Management applications, as well as Predix Private Cloud – helps customers manage the entire asset lifecycle.

Underpinned by Predix, the application development platform for the Industrial Internet, GE Digital enables industrial businesses to operate faster, smarter and more efficiently, wherever their operations require, the company said.