You know that moment when a production line goes down in the middle of a shift.
One minute everything is running smoothly—and the next, the line stops. Alarms sound, operators step back, and the questions start coming fast. 

What happened?

 

How long will it take?

 

Who needs to be involved? 

 

Every minute that passes means lost production, missed targets, and growing pressure to get the line moving again. I’ve been in that moment more times than I can count. I’ve seen downtime from the lab bench as a QA chemist, from the production floor as an industrial engineer, and from the control panel as a plant engineer. And one thing has been consistent across all of those roles: downtime rarely comes from just one place, and the plants that struggle the most are usually preparing for the wrong problems. 

Downtime Isn’t Just Equipment Failure 

 

Most teams think of downtime as a mechanical issue. A motor fails. A gearbox goes down. Something breaks and production stops. 

That’s certainly part of the picture. But it’s only one piece. 

Some of the most disruptive downtime events I’ve experienced didn’t start with a mechanical failure at all. They started with a quality issue, a controls problem no one on shift could diagnose, or a simple skill gap that turned a minor issue into a major outage. 

When you step back, downtime is really any disruption that prevents the plant from running at its expected capacity. If you look at it that way, it becomes clear how many directions it can come from. In practice, most downtime falls into four categories: 

  • Quality-related issues 
  • Mechanical failures 
  • Controls and automation problems 
  • People and skill gaps 

Most plants prepare well for one or two of these. Very few are ready for all four. So, the real question isn’t whether downtime will happen. It will.  

The question is: how prepared is your plant when it does? 

 

SelfCheck #1: Visibility 


Do you really know why you’re down?
 

 

Some of the most frustrating downtime I’ve experienced didn’t start with a machine; it started with the product. 

Nonconforming raw materials can work their way into production quietly. On the surface, everything looks fine. The line is running. Output is steady. But underneath, scrap and rework are increasing until it finally catches up and forces a stop. 

I’ve also seen outofspec components halt production midrun, when you’re fully committed. At that point, it’s no longer just a quality issue; it’s a production problem. Then there are cases where the machine is running but producing defects. From an operations standpoint, that’s still downtime. If you’re making bad product, you’re not really running. The challenge with qualitydriven downtime is that it’s often less visible than a breakdown. There’s no loud failure, just a slow realization that something isn’t right. 

Prepared plants don’t just track downtime minutes. They understand why they’re down and treat hidden losses the same as hard stops. 

SelfCheck #2: Response 


Is there a standard way to react when things go wrong?
 

 

Mechanical failures tend to announce themselves. The line stops, maintenance gets called, and everyone shifts into recovery mode. 

Most plants are built to respond to this kind of downtime. Preventive maintenance programs, spare parts strategies, and repair procedures all exist for a reason. But in my experience, the breakdown itself is rarely the biggest issue. It’s everything around it. I’ve seen straightforward failures turn into hours of lost production because the right part wasn’t available, the repair process wasn’t clear, or the response depended entirely on who was working that shift. 

There’s a big difference between having maintenance plans and having a consistent response. Prepared plants don’t reinvent the response every time something goes wrong. They follow playbooks that have already been defined, tested, and refined—so recovery doesn’t feel improvised. 

SelfCheck #3: Capability 


How deep is your bench?
 

Controls and automation issues introduce a different kind of downtime. 

The equipment may be mechanically sound, but the line won’t move. A PLC fault, a network issue, or a misbehaving HMI can stop production without a single broken component. What makes this especially challenging is that diagnosing the issue often takes longer than fixing it, assuming the right expertise is available. I’ve seen mechanical repairs completed quickly, only for the line to sit idle because no one on shift was comfortable troubleshooting the controls side. In other cases, everyone was waiting on the one person who “knows how it works.” That dependency exposes another common source of downtime: skill gaps. 

If knowledge lives with one or two individuals, downtime waits until they arrive. Prepared plants invest in building capability across the team, so recovery doesn’t hinge on availability. 

SelfCheck #4: Support 

 

Are you scrambling when issues escalate? 

 

Not every problem should, or can, be solved internally. The difference is whether escalation feels deliberate or desperate. 

Do you know exactly when to bring in outside support? Is access already in place—or does every escalation involve phone calls, paperwork, and guesswork? Support that exists only on paper doesn’t help at 2 a.m. during an extended outage. Prepared plants align internal and external support ahead of time, so when issues move beyond routine fixes, the path forward is already clear. 

What Prepared Plants Do Differently 

 

When you look across quality, mechanical, controls, and people related downtime, a pattern emerges. Prepared plants don’t eliminate downtime entirely. What they do differently is control how it impacts their operation. 

  • They have visibility into what’s actually causing downtime, not just what’s reported in the moment. 
  • They respond consistently across shifts, without relying on heroic efforts. 
  • They build depth in their teams, reducing single points of failure. 
  • And they recognize where additional support adds value—before downtime becomes a crisis. 

Reactive environments tend to feel familiar. Problems are addressed as they come up but they’re rarely fully resolved. Workarounds become normal. Over time, what feels like “just how things run” is actually a constant state of recovery. The difference isn’t always obvious in the moment—but it becomes clear over time. One plant stabilizes and improves. The other stays stuck reacting. 

Turning Insight into Action 

 

Preparedness isn’t built overnight. It’s built through intentional decisions and a clear understanding of where risk exists. 

For many teams, the challenge isn’t effort, it’s bandwidth. Improving visibility, standardizing response, building capability, and aligning support all compete with daytoday production demands. That’s where the right structure matters. The goal isn’t to outsource responsibility. It’s to reinforce it so when downtime happens, your team isn’t starting from scratch.  

In the end, downtime will always be part of plant operations. The difference is how much it disrupts production. When the response is prepared ahead of time, teams spend less time reacting and more time executing. If you’re evaluating ways to bring more structure and consistency to how downtime is handled, a Kendall Service Agreement can help support that approach.  With a structured service partnership that aligns support, resources, and planning around your operational goals, the Kendall Service Agreement offers access to troubleshooting, expert support, training solutions, and cost management strategies. It helps teams respond with confidence when issues arise. Connecting with a Kendall Electric service specialist is a simple way to see if it is the right fit for your needs. 

David Berroyer | Lifecycle Services Solutions Consultant

David Berroyer is a Lifecycle Services Solutions Consultant at Kendall Electric, where he works with customers to address real operational challenges across industrial environments. His background spans R&D, quality, and plant engineering roles, giving him a practical understanding of how downtime impacts performance on the plant floor. David applies Lean Six Sigma principles to support data-driven decisions that improve reliability, efficiency, and long-term value within automation systems.

Kendall Service Agreement

A Kendall Service Agreement can help bring more structure to your response, with access to expert support, troubleshooting guidance, and training that builds confidence across your team. It’s one way to reinforce the systems and support that help you stay ready when issues arise. Learn more