Practical ways to improve equipment reliability, production visibility, and process performance
Your next productivity improvement might not require a new machine or control panel.
A piece of equipment can run for decades and still do its job well. The mechanical components may be perfectly serviceable, the operators know it inside and out, and replacing it could be difficult to justify.
But keeping older equipment productive comes with challenges.
Sometimes it’s an aging control system that becomes increasingly difficult to maintain. Other times it’s a lack of information about downtime, output, or what happens between machines. And sometimes the equipment isn’t really the problem at all.
At Trola Industries, we generally encounter two types of conversations about productivity.
The first comes from someone who needs a machine to run—and keep running. Production demands are immediate, and a lengthy controls upgrade isn’t necessarily an option. The priority is restoring reliability without disrupting the operation any more than necessary.
The second comes from someone looking at the operation more broadly. A plant manager, engineer, or continuous improvement team wants to understand where production time is being lost, how equipment interacts, or whether better information could help them make better decisions.
Both are legitimate starting points, but they require different approaches.
The challenge is determining what improvements actually make sense for the equipment, the process, and the business.
Six things worth remembering before investing in equipment integration
- Production demands are real. Sometimes keeping equipment running today takes priority over eliminating tomorrow’s reliability risks. The tradeoff should be understood, not ignored.
- Understand the process before choosing the technology. A conversation with operators or a walk through the plant may reveal opportunities that aren’t obvious from a project specification.
- A quick quote isn’t a substitute for defining the problem. The better everyone understands what needs to improve, the more likely the solution is to deliver useful results.
- Collecting data is not the same as improving production. The real value comes from what people can do differently once they have the information.
- The lowest initial price isn’t necessarily the lowest long-term cost. Reliability, maintainability, and the ability to accommodate future needs matter.
- Not every problem requires a sophisticated solution. A simple sensor, a targeted controls repair, or a basic production-tracking process may be all that’s needed.
These principles shape how we evaluate opportunities to improve existing manufacturing equipment.
Keeping equipment running versus keeping it reliable
We recently encountered an older German operator interface that was essentially an industrial PC with a failing hard drive. The equipment it supported was several decades old.
It’s a familiar situation in manufacturing. A machine may still be mechanically sound, but an aging control component has become a significant reliability concern.
From an engineering standpoint, getting ahead of the problem makes sense. Replacing or modernizing the failing technology on a planned schedule can reduce the likelihood of an unexpected shutdown.
From the customer’s standpoint, however, the decision isn’t always that straightforward.
They may be trying to fulfill a large order, accommodate a changing production schedule, or avoid the capital approval process associated with a larger upgrade. Taking the machine offline for planned work creates a definite interruption today, while the next failure remains uncertain.
It’s understandable why manufacturers sometimes choose to accept that risk.
Our job in those situations isn’t simply to tell someone they need new controls. It’s to help them understand their options.
Can the existing equipment be kept running safely and reliably enough for the immediate need? Is there an intermediate improvement worth making? Could a short, planned downtime address the most significant risk without requiring a complete retrofit?
Sometimes the right solution is a repair. Sometimes it’s a targeted modernization. And sometimes it’s developing a longer-term replacement plan while keeping the equipment productive in the meantime.
The important thing is recognizing the difference between getting a machine running again and addressing what caused the problem in the first place.
Before connecting equipment, understand what needs to improve
When a manufacturer approaches us about equipment integration, there’s often already a solution in mind.
They may want a production dashboard, additional sensors, equipment status monitoring, or a way to track work through the plant.
Those can all be worthwhile projects. But we also want to understand what led to the request.
What problem are they experiencing? What do they believe is causing it? How would they recognize an improvement? And who will actually use the information?
We find that these conversations are usually more productive when they include people from different areas of the operation. Engineering, quality, production, maintenance, and management may each see a different part of the problem.
Being able to walk the process and talk directly with operators is particularly valuable. It helps us understand whether the information we’re discussing reflects what actually happens on the floor.
Sometimes the opportunity isn’t where you expect it
We walked through a metalworking facility involved in bending and finishing operations. The company was looking at how to adapt its production capabilities to a changing mix of customer orders.
It already collected meaningful quality information, so there was a good foundation to build upon. But there were opportunities to improve how production orders and work progress were tracked through the operation.
In a situation like that, an effective first step might be relatively simple: generate a traveler for a production order, follow it through the manufacturing process, and register when the work is completed.
That could provide useful visibility without requiring a sophisticated plantwide automation system.
Of course, implementation details matter. In this particular facility, limited network connectivity was another practical constraint. Before introducing more advanced digital tracking, the supporting infrastructure would also need to be considered.
That’s why we prefer to understand the process before settling on the technology.
The customer’s initial request may be entirely reasonable, but the most useful first improvement isn’t always what either party originally expected.
Six practical ways to get more from existing equipment
Once the problem is understood, there are several ways to improve equipment performance and the information available to your team.
These approaches aren’t mutually exclusive. A project might involve one of them, or a combination, depending on the equipment and what needs to be accomplished.
1. Connect to the controls already in place
Many machines already contain information that could be useful outside their existing control systems.
A programmable logic controller (PLC) may have access to cycle counts, machine status, operating conditions, faults, and other signals. In some cases, that information can be collected without major changes to the equipment.
For example, a supervisor might want to know how often a machine is stopped during a shift. But a simple running/stopped indication doesn’t necessarily tell the whole story.
Was the machine faulted? Waiting for an operator? Starved for material? Blocked by equipment downstream?
Those distinctions matter because the corrective actions are different.
The first engineering task is determining what information is available and what the signals actually mean. We also need to confirm that accessing the controller is practical and won’t interfere with normal machine operation.
Sometimes an existing PLC provides everything needed. Sometimes it doesn’t.
2. Connect equipment that uses different communication systems
It’s common to find multiple generations of equipment in the same plant.
One machine may have a modern PLC with Ethernet communications, another may use an older proprietary protocol, and a third may have limited external connectivity.
Communication gateways, protocol converters, and industrial software interfaces can bring information from these systems into a common environment. Depending on the equipment, that might involve manufacturer-specific drivers or standards such as OPC UA.
This can be useful when a manufacturer wants to compare machine performance, monitor a production line, or combine information across different control platforms.
There are limits, though.
A gateway cannot create information that the original equipment doesn’t provide. And simply connecting two systems doesn’t guarantee that their data will be meaningful when combined.
Equipment compatibility, available signals, update rates, and the reliability of the communication infrastructure all need to be considered.
3. Add sensors to measure what the equipment doesn’t
Older equipment may have little usable production information available from its controls.
In those cases, adding a few targeted sensors can be a practical alternative to replacing a controller or undertaking a major retrofit.
A counter might help measure actual production. A position sensor could indicate completion of a machine cycle. Temperature, pressure, or level measurements might help operators recognize abnormal process conditions.
But choosing the right measurement requires some thought.
Consider a process tank where clogs or jams are causing production interruptions. Adding sensors to monitor tank conditions may help identify when a problem is developing.
That’s useful, but it may not explain what’s causing the condition.
What’s happening upstream? Is the tank receiving material at an inconsistent rate? What happens to downstream equipment when the tank experiences a problem?
The more important opportunity may be understanding how the tank affects the larger process, rather than simply watching another measurement on a screen.
The objective isn’t to install as many sensors as possible. It’s to measure conditions that help people understand or improve the operation.
4. Modernize selected controls instead of replacing entire machines
Not every aging machine needs to be replaced.
Sometimes the mechanical equipment has plenty of useful life remaining, while the PLC, HMI, or electrical control components are becoming difficult to support.
A targeted controls upgrade can address those weaknesses while retaining the parts of the machine that are still performing well.
Depending on the application, modernization might involve replacing an obsolete controller, improving operator interfaces, updating control-panel components, or providing better fault diagnostics.
Clearer alarm messages alone can make a difference in troubleshooting. An operator who sees a specific fault condition and knows where to investigate is in a better position than someone looking at a generic machine-stop alarm.
Still, an upgrade needs to be evaluated carefully.
Controls changes can affect machine sequences, safety functions, and operating behavior. Existing documentation may be incomplete. Installation and commissioning may require more production downtime than the customer can easily accommodate.
Before recommending an upgrade, we want to understand what can be retained, what needs to change, and how the work can be completed with manageable operational risk.
5. Improve how machines work together
A production line is only as effective as the process connecting its individual operations.
One machine may run perfectly well on its own while the line repeatedly stops because material cannot move efficiently between stations.
An upstream machine may be waiting for downstream capacity. Conveyors may accumulate material unnecessarily. Operators may be intervening manually to coordinate equipment that could exchange basic operating signals.
In these cases, improving communication and coordination between machines may deliver more value than increasing the speed of any single machine.
The starting point is understanding how material and information move through the process.
Then the engineering work can focus on appropriate handshaking signals, equipment-ready conditions, operating sequences, or other coordination improvements.
Changes that affect equipment operation require proper safety consideration, sequence definition, and commissioning.
It’s also important to evaluate the entire line. Making one machine faster doesn’t necessarily increase finished production if another part of the process remains the constraint.
6. Make production information useful to the people who need it
Collecting machine data is relatively straightforward compared with deciding how that information should be used.
An operator may need to know why equipment stopped and what action to take. A production supervisor may want to compare actual output with the shift target. Maintenance may be interested in recurring fault patterns, while management may want to understand capacity, quality, and production costs.
Those aren’t necessarily the same reports or displays.
Depending on the operation, useful improvements might involve local monitoring screens, production boards, historical reporting, downtime tracking, or connections to manufacturing and business systems.
This is also where the ability to expand becomes important.
A company may initially want to capture a single temperature measurement. Later, it might want to compare that measurement against machine performance, product quality, or production history.
If the original system was designed only to display the measurement, extending it may be more difficult than expected.
That doesn’t mean every small monitoring project needs an elaborate architecture.
It means the initial decision should account for what the customer reasonably expects to do next.
The cheapest way to collect data isn’t always the cheapest way to use it
Cost matters, and we understand why manufacturers look for economical solutions.
But a low initial price doesn’t always tell the full story.
Consider two hypothetical approaches to collecting process information. One costs a few hundred dollars and provides a basic measurement. Another costs several thousand dollars but includes more capable communications, historical data collection, and the ability to integrate with other systems.
If all the customer needs is that basic measurement, the inexpensive solution may be perfectly appropriate.
But if they expect to use the information for production analysis, automated reporting, or coordination with other equipment, the more capable approach may provide better long-term value.
We sometimes encounter customers who selected an inexpensive solution for an immediate need, then return when they want to do more with it.
At that point, the original system may require additional work, a workaround, or replacement.
Unfortunately, the new request can arrive with the same urgency that drove the initial decision.
It’s a difficult cycle to break when production needs are pressing.
That’s why we think it’s worth discussing maintainability, flexibility, and likely future requirements early in a project—even when the initial scope is small.
Not because every customer should buy a larger system, but because they should understand what they’re getting and what it may limit.
Turning information into actual improvements
One of the most common assumptions about equipment integration is that better visibility will naturally lead to better performance.
It can, but the connection isn’t automatic.
A dashboard showing downtime doesn’t eliminate downtime. A production counter doesn’t increase throughput. A historical trend doesn’t fix a recurring mechanical problem.
Those tools become valuable when somebody uses the information to make a decision or take action.
Consider a packaging line that repeatedly falls short of its production target.
An initial monitoring project might reveal that several short interruptions occur at a product transfer point. Further investigation could identify problems with product spacing, sensor alignment, or coordination between stations.
Now there’s something specific to investigate and improve.
After making a change, the same monitoring system can help determine whether the interruption frequency declined and whether more acceptable product was produced.
The process is straightforward:
Measure the problem. Understand the cause. Make an improvement. Verify the result.
Depending on the operation, the relevant measures might be good units per hour, downtime by cause, changeover duration, scrap, or another production metric. Overall Equipment Effectiveness (OEE) may also be useful where availability, performance, and quality losses need to be evaluated together.
The important part is agreeing on what success looks like before implementing the solution.
If nobody knows what they intend to do differently with the information, it’s worth reconsidering what needs to be collected in the first place.
A practical approach: start with one meaningful problem
Equipment integration projects don’t have to begin with a large investment or an elaborate plantwide architecture.
We generally see value in working through three stages.
Understand the problem
Start with the equipment or process that is creating a recognizable operational concern.
Talk with the people responsible for operating, maintaining, and managing it. Walk the process where possible. Review the existing controls, available information, and infrastructure.
Understand what is happening today, why it matters, and what an improvement would look like.
If the desired outcome is fewer interruptions, establish a reasonable baseline. If the objective is better production tracking, determine what information is missing and who will use it.
The outcome should be a clearly defined opportunity, not simply a list of equipment or software to purchase.
Implement something manageable
Identify an approach that fits the scope, available resources, and operational constraints.
That might mean connecting to an existing PLC, adding limited sensing, updating a control component, or introducing a simple process for tracking production.
When possible, validate the solution on a limited scale before expanding it.
Machine states, counts, timestamps, and production information should be checked against actual operating conditions. For monitoring applications, read-only connections may reduce implementation risk. Where changes affect machine behavior, the commissioning and cutover plan becomes particularly important.
The goal is a solution the customer’s team can trust, operate, and maintain.
Verify the improvement before expanding
Once the system is in place, return to the original problem.
Did the equipment become more reliable? Did downtime decline? Are production personnel getting information they can use? Has the process become easier to manage?
Compare results with the baseline under reasonably similar production conditions.
Financial value should also be considered realistically. Additional production capacity only has value if the business can use it. Reduced downtime might improve delivery reliability, avoid overtime, lower scrap, or support additional saleable output, depending on the circumstances.
Installation, training, software, and ongoing support costs belong in that evaluation too.
If the improvement is working, there may be a good reason to expand. If not, understand why before committing more resources.
Build something your team can maintain
An integration project doesn’t end when the equipment communicates successfully or a dashboard goes live.
Someone needs to maintain it.
That means thinking about controls documentation, data definitions, network access, system backups, recovery from communication failures, and ongoing technical support.
It also means considering what happens when the people who originally developed the solution are no longer involved.
A useful system should be understandable to the people responsible for operating and maintaining it.
For some facilities, a local monitoring system may be entirely sufficient. Others may need connections to production-management software, multiple facilities, or cloud-based services.
Those decisions should follow the operating requirements rather than a particular technology trend.
A system that works reliably and provides useful information is more valuable than one that offers an impressive list of features but becomes another maintenance burden.
Get more value from what you already have
Manufacturers are constantly balancing production demands, equipment reliability, capital spending, and the need to improve.
There isn’t one solution that fits every operation.
Sometimes the best decision is repairing an existing machine and planning a future upgrade. Sometimes it’s connecting equipment to improve line coordination. Sometimes it’s adding a few sensors, improving work-order tracking, or making better use of information that already exists.
And sometimes the most valuable first step is simply walking through the process and asking better questions.
At Trola Industries, we believe equipment integration should begin with an understanding of the problem and end with something the customer can actually use.
Have a machine or process that isn’t performing the way you need it to?
Let’s talk about what’s happening, what you’ve already tried, and what improvement would make a meaningful difference.
We’ll help you evaluate whether there’s a practical controls or integration opportunity—and what it would take to pursue it.
👉 [Reach out to Trola to get started].
Contact Trola today for a private consultation and discover how we can help you plan for the future while building for the now.