The ways operators ensure OSHA safety knowledge retention for maintenance teams

Maintenance work tests safety knowledge at the point where equipment is isolated, opened, repaired, or returned to service. A technician may understand a procedure during training, then spend months completing routine work before facing the same risk again during a breakdown or shutdown. That gap matters because maintenance activity often involves changing conditions, unfamiliar equipment states, and time pressure created by lost production. An OSHA compliance course gives maintenance teams a structured starting point, but operators need a clear process that keeps the knowledge active long after the initial training has been completed.

Safety knowledge must remain available during changing work

Maintenance teams do not carry out every high-risk activity every day. A technician may need to isolate an electrical system during one assignment, then work near a confined space or prepare equipment for lifting during the next. The safety principle may be familiar, yet its application changes with the asset, work area, energy source, and task scope. Knowledge retention therefore depends on more than remembering course material. It depends on recognising the relevant risk before work begins and using the correct controls at the moment they are needed.

Ensuring employees take an OSHA compliance course gives operators and supervisors a common understanding of hazard recognition, safe work practices, inspections, personal protective equipment, and emergency responsibilities. This shared foundation improves the quality of maintenance planning because teams already understand the purpose of the checks that take place before a task starts. Site-specific instructions can then focus on the actual intervention, such as the equipment being worked on, the isolation method, the work boundary, and the communication required during the job.

Maintenance planning keeps learning active

Job planning provides one of the strongest opportunities to bring safety knowledge back into daily use. A well-prepared maintenance task explains the work required, identifies the main hazards, and states the controls that must remain in place. Reviewing a job plan before work begins prompts technicians to consider the equipment condition and the surrounding environment instead of relying only on familiarity with the asset. It also creates a clear point for supervisors to check that the planned method still matches the conditions found on site.

An OSHA refresher course supports this process by returning attention to the safety topics that may not appear in every shift. Lockout/tagout procedures, emergency response, hazard communication, respiratory protection, and permit-required confined space work all require reliable recall when they become relevant. Refresher learning gives operators time to revisit these areas before an urgent job exposes a gap in understanding. It also helps maintenance leaders keep essential safety principles visible when the team has been focused on production targets, routine inspections, or recurring repairs.

Supervisors reinforce knowledge through real work

Supervisors have a central role in turning training into dependable practice. A training record confirms that a course has been completed, but a task discussion reveals whether the individual understands the risk in front of them. Questions during the permit review or pre-job meeting should test the 

worker’s understanding of the work sequence, the isolation points, the required protective measures, and the action to take if the task no longer matches the plan. These discussions give workers a practical reason to recall the knowledge gained during training.

Shift handovers also deserve more attention within maintenance safety systems. Important information can be lost when work passes from one team to another, particularly after temporary repairs, incomplete isolations, or equipment changes made during fault-finding. A strong handover explains the current equipment status and identifies any control that must remain in place. It also gives the incoming team an opportunity to ask questions before assuming responsibility for the work. This keeps safety knowledge connected to the real operating condition of the asset.

Refresher learning supports higher-risk maintenance work

A scheduled OSHA refresher course gives maintenance personnel a defined opportunity to revisit safety knowledge before it becomes relevant under pressure. This is especially useful for teams returning to shutdown activity, moving onto a new project, or preparing for maintenance work that occurs only occasionally. The course content can bring attention back to job hazard analysis, stop work authority, electrical safety, hand safety, fire response, and environmental responsibilities without relying on workers to identify their own knowledge gaps.

Maintenance managers should connect refresher learning to the work calendar rather than treating it as a separate annual obligation. A planned outage, major overhaul, new equipment installation, or contractor mobilisation provides a clear reason to review the knowledge required for upcoming tasks. This approach makes the OSHA refresher course part of preparation for the work ahead. It also allows supervisors to identify where additional practical instruction is needed before technicians begin a higher-risk intervention.

Records should show readiness rather than completion

Training systems are more useful when they show readiness for the work being assigned. A maintenance manager needs to see who has completed core training, who requires refresher learning, and who needs further site or task-specific instruction. Those records should be reviewed alongside work schedules and planned maintenance activity. This makes it easier to prevent a situation where a technician is assigned to work that requires knowledge they have not recently used or updated.

Safety knowledge retention also supports maintenance reliability. Teams that understand the reason behind an isolation, permit, or stop-work decision are less likely to bypass a control when a repair becomes difficult. They are better placed to recognise when a familiar task has changed and to raise concerns before the work creates a larger issue. A structured OSHA compliance course followed by targeted refresher learning gives maintenance teams a stronger basis for making those decisions consistently across planned and reactive work.

Engineering a legacy: A third-generation career in vertical mobility

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Schindler marks this year’s International Women in Engineering Day, on June 23, by celebrating the growing number of women entering and advancing in technical fields. Among them is Amanda Yarger, sales account manager at Schindler U.S.A., who oversees a wide range of repairs and modernization projects.

 

When people think of engineering, they often picture breakthrough technologies and complex systems that shape the way we live. Yet behind every innovation are the individuals who keep critical infrastructure running day in and day out.

Schindler Sales Account Manager, Existing Installations Amanda Yarger is one of those people.

A third-generation professional in the business — her grandfather worked as a lift mechanic in the 1950s, and her parents met while working for Schindler — she grew up surrounded by conversations about vertical transportation.

“I’ve been in the elevator industry, or at least I’ve known about it, all my life. When I started working for Schindler, it felt like I already had over 20 years of experience,” Yarger says.

Today, she works as a sales account manager in the U.S., covering Northern California and Nevada. Her responsibilities span a wide range of activities but can be distilled into one critical mission: ensuring that systems operate safely and efficiently when it matters most.

“We deal with everything — we repair and upgrade anything you can think of, from replacing doors or fixing water damage to installing new software systems that optimize traffic flow,” Yarger explains.

Her role includes providing technical solutions, ensuring workplace safety, supervising technicians and jobsite activity while supporting service, maintenance and repair sales. Communication, financial acumen, business development and management skills are all essential, as she oversees every step of the repair process, from start to finish.

A different start

Interestingly, Yarger’s career did not begin in engineering. After graduating with a degree in communication, she initially worked in social media marketing and public relations. That experience provided her with valuable skills in client communication and team organization that, combined with deep technical expertise, allow her to bridge the gap between complex mechanical needs and client expectations.

She and her team have a comprehensive understanding of all types of elevators and escalators, regardless of their age or brand. Some of the units they work with are among the most modern, equipped with systems powered by artificial intelligence. Others date back decades — the oldest elevators Yarger has worked with are from the 1950s. Her team doesn’t only look after Schindler units; they handle elevators and escalators from all brands.

“Of course, all mechanics know what to repair and how. They have a lot of experience. However, our repair mechanics must be the most technically knowledgeable people since we handle everything. I work with them to have a thorough understanding of every part of the process,” she says.

Yarger explains that she learned the ins and outs of the elevator repair business through a combination of internal mentorship programs, asking numerous questions and observing her mechanics in the field.

“And, it doesn't hurt to have one of Schindler's top mechanics close at hand for advice,” she says, referring to her father and other members of her ‘elevator dynasty’ family.

Inspiring the next generation

Stories like Amanda Yarger’s highlight the evolving face of engineering, where diverse career paths and supportive, inclusive environments are opening doors for more women to thrive. For Schindler, developing groundbreaking technologies that transform the vertical mobility industry goes hand in hand with fostering an environment where talent from all backgrounds can succeed.

By investing in people and promoting inclusive growth, the company continues to help shape a more diverse and vibrant future for engineering.

Click here to learn more about Amanda Yarger.

Flir and edevis Advance Real‑Time Automated NDT with Integrated Flir A6450 MWIR Thermal Imaging

Flir, a Teledyne company, is highlighting a new advancement in automated non‑destructive testing (NDT) through a technical collaboration with edevis GmbH, a leader in active thermography.
 

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Flir, a Teledyne company, is highlighting a new advancement in automated non‑destructive testing (NDT) through a technical collaboration with edevis GmbH, a leader in active thermography. Together, the companies demonstrate how the Flir A6450 long‑life cooled MWIR camera integrates seamlessly into automated inspection workflows to detect structural anomalies in real time, enabling manufacturers to identify defects that traditional point‑based methods or standard sensors often miss.

Across industries such as automotive, energy, and advanced manufacturing, hidden flaws like grinding burn, coating delamination, adhesion failures, and subsurface irregularities can compromise product integrity. Conventional inspection techniques typically examine only small areas, leaving critical defects undetected. The Flir–edevis approach introduces a new standard for full‑surface, high‑speed thermal inspection that delivers actionable results within seconds.


At the core of the system is the Flir A6450, engineered for continuous 24/7 operation in demanding industrial environments. Its long‑life cooler, rated for 27,000 hours, and its high‑speed MWIR imaging capabilities allow precise temperature measurement and rapid thermal response capture—key requirements for identifying subsurface defects during active thermography. When paired with edevis’ laser‑based excitation and advanced thermography software, the system reveals structural anomalies that are invisible to the human eye and difficult to detect with conventional sensors.

“Manufacturers are under increasing pressure to automate more of their quality assurance processes while maintaining absolute reliability,” said Mathew Hasty, Global Vertical Director at Flir. “The A6450 is designed for exactly these environments. Combined with edevis’ active thermography, it delivers real‑time insight into structural behavior that helps customers catch defects earlier and keep production moving.”

edevis’ active thermography platforms are widely used for structural inspection of metals, composites, battery components, and precision‑machined parts. By integrating Flir thermal imaging, these systems provide deeper insight into material behavior under thermal excitation and support automated decision‑making directly on the production line. The result is a reliable, contactless, and repeatable inspection process that scales to modern manufacturing throughput.


“Our mission is to make high‑precision NDT fully automated, fast, and easy to integrate,” said Alexander Dillenz Managing Director at edevis GmbH. “Flir’s A6450 gives us the thermal performance and long‑term stability required for continuous industrial use. Together, we’re enabling manufacturers to detect defects that would otherwise remain hidden and to do so at the speed their production lines demand.”

As industries accelerate their adoption of automated inspection technologies, the combination of Flir thermal imaging and edevis active thermography offers a scalable, future‑ready solution. Whether applied to brake discs, composite structures, battery cells, or semiconductor components, the integrated workflow provides manufacturers with a powerful tool to ensure product integrity and reduce scrap.

www.flir.com

 

Webinar June 25: AI-driven asset intelligence for utilities

Traditional utility thermal inspections have a major bottleneck: manual interpretation. It’s slow, subjective, and risks critical issues slipping through the cracks.

On Thursday, June 25th at 15:30, FLIR and Prasanna Technologies are hosting a compact, 30-minute webinar to show you how to automate the entire process.

By pairing FLIR’s iXX-Series thermal cameras with Styra (an AI-powered analytics platform), we are giving utilities a "single pane of glass" view across their entire asset network.

[Live Webinar] AI-Driven Asset Intelligence for Reliability

What you’ll learn in 30 minutes:

  • AI Anomaly Scoring: Automatically detect and score thermal faults by severity.
  • Dynamic Asset Health Index: Get a live, continuous health metric for your infrastructure.
  • Map-Based Dashboards: See your entire network—substations to transmission lines—in one view.
  • Automated Reporting: Eliminate manual paperwork with audit-ready reports generated in seconds.

If you are ready to eliminate false positives and transition to a truly predictive maintenance strategy, this quick session is built for you.

Can't make it live? Register anyway and we will email you the recording.

[Click Here to Register Now]

Housing Development’s wastewater woes successfully resolved by Dura Pump

Dura Pump, the fluid control specialists, have solved a major problem for a leading social housing provider in the Midlands, where a site’s wastewater system was frequently blocking and flooding.

The original pump system, which had been under-specified for the level of occupancy on the development, was increasingly unable to cope with demand. In addition to flooding and tripping, the all too frequent blockages caused by rag debris had resulted in costly emergency tanker callouts.

To handle the demanding conditions for the housing provider (who manage over 10,000 homes), the Dura Pump-led project saw its engineers introduce a new unit with an extended knife system that could properly handle the solids in the wastewater by continuously reducing particle sizes, as John Calder, Technical Director, explains:

“Combatting solids, rags, wet-wipes and the like are a common problem in today’s world of wastewater management. We’ve seen time and time again that standard pumps gradually become overwhelmed, leading to very frustrating issues in the housing sector.”

He added: “Since we installed a 2.2kW Landia Submersible Chopper Pump, there has been a dramatic improvement in performance, with no callouts required. The housing provider has drastically reduced its maintenance costs, and importantly now provides a sound, reliable wastewater service for its residents.”

www.durapump.co.uk

www.landia.co.uk

CMMS RADIO

 

 

 

 

NEW PRODUCT: 3 Big Opportunities Hiding in Your Compressed Air System Webinar

Compressed air is a robust system that’s vital to manufacturing, but it’s also its most complex challenge. Navigating the delicate balance between system optimization and operational risk is what separates standard maintenance from true facility leadership.

In this EXAIR webinar to be held June 25th at 11:00 am, featuring Direktin, we identify the three most common technical failures that compromise system efficiency and inflate operating costs. Through live demonstrations and software modeling, we will break down the following:

1. Homemade vs Engineered Solutions: We’re running a head-to-head test between a standard drilled pipe and an EXAIR Super Air Knife. We’ll test them both with calibrated equipment and then plug those numbers into the Direktin calculator to show how easily you can calculate savings on-the-fly.

2. Loud ≠ Performance: Many operators mistakenly equate high decibel levels with high force. We demonstrate an open pipe vs. an engineered nozzle to prove that noise is a symptom of turbulence and waste, not performance.

3. Plumbing and Pressure Drop Failures: If your plumbing is wrong, your performance is gone. We’ll use EasyCAS software to model a botched installation and show how a lack of predictive setup leads to massive pressure drops and poor performance.

Stop guessing with your pneumatic setup. We’re going to show you how to audit your own processes, using the right tools, to ensure you get the maximum force-to-flow ratio out of your compressed air infrastructure. Register now for this live webinar. https://exair.co/190-swebpr

What Happens When AI Joins the Berkvens Doorsystems Maintenance Team

By Stefan van Bussel, Teamlead Technical Services, and Jeroen Wijnen, Maintenance & Installations Leader, Berkvens Doorsystems

Every morning in a manufacturing facility, before a single machine is switched on, a maintenance team lead is already working. Reviewing overnight breakdowns, scanning shift logs, checking notifications, building a picture of what the machine park looks like before the day begins. Here at Berkvens Doorsystems, that process used to take between 30 minutes and an hour. Every day. Per team lead.

Team leads now no longer need to spend this time; it is recovered by artificial intelligence (AI).

A manufacturer with nearly a century of tradition

Berkvens Doorsystems is a family-run manufacturer headquartered in Someren, Netherlands, and part of Xidoor. With three production facilities and five brands, we produce interior doors, frames, and sliding door systems for the housing, healthcare, hospitality, and education markets across Western Europe. Manufacturing at this scale demands disciplined asset management - diverse equipment across multiple production environments, high standards for uptime, and a technical team responsible for keeping it all running.

Like many manufacturers, we have made a foundational investment in an enterprise asset management (EAM) platform to bring structure to maintenance planning, work order management, and equipment tracking. EAM gave the technical department visibility it had previously lacked. But visibility only goes so far when the volume of data such as notifications, shift logs, work histories, and equipment records, keeps growing. At some point, reviewing all of it manually becomes the constraint. That is the problem AI is now solving.

The business case has never been clearer

Our experience sits within a broader industry shift that is accelerating. According to Ultimo's Maintenance Trend Report, 63 percent of manufacturing organizations are struggling with an aging workforce - a challenge that is as much about knowledge as it is about headcount. The diagnostic expertise accumulated over decades of hands-on maintenance work does not transfer automatically to the next generation. When experienced technicians retire, they often take with them an understanding of how specific equipment behaves that exists nowhere in any system.

AI in the form of digital workers is changing that equation. By learning from operational data over time, it can surface patterns and institutional knowledge that would otherwise be invisible or lost. For manufacturers already running an EAM platform, that intelligence is embedded in data they are already collecting. It simply needs the right tools to unlock it.

A digital worker is an AI system embedded in operational workflows that can independently monitor data, initiate actions, and complete multi-step tasks - handling the routine cognitive work that would otherwise fall to a person

What changed at Berkvens Doorsystems - and how quickly

We adopted Ultimo's digital workers as one of the Company’s earliest users. The starting point was practical: digital workers that analyze the data the team was already generating, delivered through the EAM system already in daily use. No new platform. No disruptive implementation. Intelligence added to the workflow already in place.

The morning review process was transformed almost immediately. Where our team leads had previously spent up to an hour manually cross-referencing breakdowns, notifications, and logs to build a status picture, the digital worker now assembles and summarizes that information automatically.

The digital workers’ output matches the team's own manual analysis more than 95 percent of the time, meaning the time recovered is genuine, not traded against accuracy. Across a team of technical leads, that amounts to between 125 and 250 hours of recovered productivity per person per year, with a direct financial value of roughly €12,500 to €25,000 annually per team lead depending on hourly rates.

Insights that were not visible before

Efficiency gains are the most measurable outcome, but not the most strategically significant one. What has mattered more for us is what Ultimo digital workers surface that manual review would have missed entirely.

By combining data across sources such as work orders, logbooks, and maintenance histories, the system identifies patterns that are hard to detect when each data stream is reviewed in isolation. This revealed that certain equipment issues were recurring structurally rather than randomly. That single insight changed how the team approached maintenance planning and where it directed improvement efforts.

By intelligently combining data from different sources, new insights emerge, enabling teams to set better priorities, identify structural issues, and carry out more targeted maintenance and improvements.

This is the practical meaning of Intelligent Asset Management: not AI as a reporting layer, but AI that changes which decisions get made, and when.

One lesson every manufacturer should hear

The most consistent message from our experience is that the value of AI is directly proportional to the quality of the data it works with. We believe that disciplined, consistent registration of notifications, work orders, and operational data is a prerequisite, not something AI can substitute for. Poor data hygiene does not get corrected by AI; it gets amplified.

For manufacturers evaluating where to start with digital workers in maintenance, this is the practical readiness test. The technology is capable. The question is whether the data foundation is there to support it. For us, years of structured EAM usage meant it was.

What comes next

The team's expectations continue to grow. The area generating most interest is troubleshooting support – a digital worker that not only identifies what has gone wrong but assists the troubleshooting.

Think of digital workers that analyze similar past failures and immediately suggest possible solutions. This can help technicians arrive at the right solution faster and further reduce downtime.

For a manufacturer operating across multiple factories and brands, that kind of embedded guidance - turning accumulated failure history into real-time decision support for any technician, regardless of their experience level - represents exactly the kind of knowledge transfer that the industry's workforce challenge demands.

The conclusion we have reached is the one more manufacturers are arriving at: AI does not replace the judgment and skill that experienced maintenance professionals bring. It removes the administrative burden that keeps them from applying it - and it finds the signal in operational data that no manual process reliably could. The starting point is closer than most organizations expect, and the returns begin earlier than most anticipate.

Reliability, Sustainability and the Real Future of AI in Manufacturing

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At the Food & Beverage Engineering Show 2026 and Sustainable Food Factory exhibition held at Derby Arena, industry professionals gathered to discuss the challenges and opportunities facing modern manufacturing. Among the experts sharing their insights was Andy Gailey, Managing Director of UPTIME Consultant Ltd, who highlighted the growing relationship between reliability, sustainability and operational efficiency.

The event, which brought together engineering and sustainability professionals under one roof, reflected a growing recognition that these disciplines are intrinsically linked. According to Gailey, sustainable manufacturing cannot be achieved without reliable assets and effective maintenance strategies.“Reliability and sustainability are two sides of the same coin,” he explained. “If you don't have a reliable plant, it becomes extremely difficult to achieve meaningful sustainability targets.”

This connection is becoming increasingly important as manufacturers face mounting pressure to reduce energy consumption, minimise waste and improve overall operational performance. Equipment failures, unplanned downtime and inefficient processes not only affect productivity but also contribute to unnecessary energy use and increased environmental impact.

Drawing on more than two decades of experience within the food manufacturing sector, Gailey emphasised that maintenance and reliability professionals play a critical role in supporting sustainability objectives. By ensuring equipment operates consistently and efficiently, organisations can reduce their consumption of electricity, gas and water while simultaneously improving production output.

The discussion also explored the current state of the food and beverage manufacturing sector.

While many businesses experienced a challenging and uncertain trading environment during the previous year, Gailey reported signs of renewed confidence across the industry.

As a specialist consultancy, UPTIME Consultant Ltd works closely with manufacturing organisations seeking to improve reliability and operational performance. Demand for these services has increased as businesses look for practical ways to enhance efficiency while controlling costs.

However, significant challenges remain. Rising employment costs, increased regulatory pressures and economic uncertainty continue to affect investment decisions across many sectors. Manufacturers are being forced to operate leaner than ever before while maintaining competitiveness in increasingly demanding markets.

One of the most discussed topics during the interview was artificial intelligence and its future role within manufacturing operations. While AI has become one of the industry's most widely used buzzwords, Gailey offered a more measured perspective.

Having spent several years studying machine learning and artificial intelligence technologies, he believes that many current applications fall short of the expectations often associated with true AI. He compared today's AI hype cycle to the early days of Industry 4.0, when numerous technologies were marketed under a broad and often misunderstood label.

Rather than relying solely on cloud-based systems and large-scale infrastructure, Gailey predicts that future industrial AI applications will increasingly move closer to the assets themselves. Manufacturers are likely to deploy smaller, site-based machine learning models that focus specifically on analysing plant performance, equipment condition and operational data within their own facilities.

This approach could offer several advantages, including improved data security, faster response times and greater relevance to individual operational requirements.

The interview reinforced a key message for maintenance and engineering professionals. Regardless of emerging technologies, the foundations of manufacturing success remain unchanged. Reliable equipment, effective maintenance practices and a commitment to continuous improvement will continue to underpin both sustainability and profitability.

As manufacturers navigate an increasingly complex operating environment, the organisations that successfully combine reliability, efficiency and innovation will be best positioned to meet future challenges while delivering long-term sustainable growth.

For more information visit www.uptimeconsult.co.uk

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