Our October coverage touches on a range of technologies and maintenance challenges, but three themes stood out to me. Technology is advancing at breathtaking speeds. It’s hard to keep up, but technology will only get you so far without strong fundamentals beneath. Technical skills are more important than ever, and the pressure to manage costs and improve efficiency will only get stronger. Reliability offers solutions to all these challenges.

1. Reliability is an organizational responsibility.

Our Ask a Plant Manager podcast episode looked specifically at the question of who owns maintenance decisions. While there should be a delineation of task and functions, reliability still involves a lot of cross-functional accountability and shared responsibility.

My podcast co-host and Plant Services columnist Joe Kuhn also wrote about his nephew’s experience in the Navy and what reliability leadership could learn from Chief Season: how to delegate decision-making authority, the importance of frontline leadership development and the value of mentoring. If you’ve listened to much of our podcast, you know that Joe is a big proponent of mentoring.

Reliability can also get swallowed up in measuring activity instead of outcomes. Real reliability progress needs outcomes, so don’t get sucked into these 5 ways plants mistake activity for progress.

Reliability isn't something the maintenance department can deliver on its own. It requires coordination between maintenance, production, operations and management.

2. Advanced technology is expanding what’s possible, but technical competence remains essential.

Last month we covered some interesting technology innovations around AI, robotics, digital twins and predictive maintenance. But in general, the consensus I take away right now from the implementation of advanced technology is that it’s advancing faster than some organizations’ ability to implement it effectively. In some cases, it’s a matter of too much technology too soon, and sometimes organizations don’t have a strong enough foundation to build technology upon.

Technical expertise and equipment fundamentals are even more critical when you’re trying to put technology on top of those practices. Bearing condition monitoring or predictive maintenance or lifecycle management software, for example, won’t do much without solid lubrication practices underneath. The basics still matter.

One interesting application of advanced monitoring and modeling comes from the grain-handling industry. Vibration analysis and digital twin technology helped one facility identify equipment running unnecessarily, uncover production bottlenecks and reduce the potential for combustible dust hazards. It's a good example of how connecting equipment data with a better understanding of the overall production process can improve reliability, efficiency and safety. They are all connected.

Our newest columnist Michael Holloway challenges some lubrication rules of thumb. Don’t depend solely on grease dropping point. It’s a lab simulation and not always the same as bearing temperature in a real environment. Similarly, Holloway busts the myth that NLGI grade can predict grease pumpability. That depends on many other factors too. 

Technology can improve the visibility of equipment problems, but technical competence and sound maintenance practices allow maintenance teams to interpret those signals correctly and address problems before they affect production.

Knowledge retention and workforce development have been priorities for manufacturing for some time, and technology can help capture and transfer institutional knowledge, but it can’t replace the experience and judgment of skilled workers. Again, we return to basic practices. Our columnist Doc Palmer outlines how to create living job plans to capture organizational knowledge and job-specific practices and use it to improve future planning and scheduling.

While technology isn't replacing expertise, or newest staff writer Megan Crouse did examine how AI agents can assist in transferring that institutional knowledge from retiring workers to new employees.

3. Managing operating costs and resource efficiency never goes out of style.

Manufacturers are continually looking for ways to reduce operating costs. Maintenance has a direct role in that effort, protecting production capacity and extending equipment life. Many of the biggest opportunities to reduce operating costs come from preventing waste and equipment problems before they affect production. Energy efficiency and equipment reliability are connected. You just have to make that connection clear to everyone.

Our case study on nitrogen generation shows the economic benefits of making your own on-site. The Compressed Air Challenge (CAC) explains why fixing leaks doesn’t always deliver the energy savings plants expect. The system settings, compressor sequencing or artificial demand can all undermine those savings. Centralized controls can help coordinate compressor operations, while even something as basic as compressor fluid selection can affect efficiency.

Few more highlights: Reliability magic, Halloween fun and the Best of the Best

Reliability is the connecting thread between advanced technologies, institutional knowledge, cost and energy efficiency, and safety. Shall I keep going? Still, it often goes unnoticed when everything works as it should.

What can a mentalist teach us about making that work more visible? Here is my recap of Society of Maintenance and Reliability (SMRP) annual conference keynote speaker mentalist Christophe Fox. He had the audience mesmerized with magic tricks, while offering some surprising reliability lessons about preparation and perception.

What kind of maintenance creature are you? If you’re not sure, don’t miss the Halloween quiz.