Maintenance as a Strategic Advantage: ProFood World

How does proactive and predictive maintenance practices help food processors do more with less?

Maintenance is often viewed as a necessary cost, an unavoidable overhead to keep production moving. But in times of economic uncertainty and capital constraints, it’s time to reframe maintenance not as a cost center, but as a strategic lever.

This is an AI-generated episode. Read the full featured article on ProFood World.

Transcript

SPEAKER_00 0:03

Welcome to Through the Line, the podcast exploring innovations and information across the packaging and processing landscape. From topics impacting consumer packaged goods and healthcare packaging to the latest technologies in food processing operations.

SPEAKER_01 0:22

Hi, I'm Casey Flanagan, Associate Editor with ProFood World. This AI-generated podcast episode covers how food and beverage processors can reframe maintenance as a strategic move to improve efficiency. It highlights the transition from run-to-fail models to proactive and predictive strategies using tools like thermal imaging and vibration analysis. It also explores how total productive maintenance can build a culture of shared responsibility to support operations.

SPEAKER_02 0:47

This deep dive explores how packaging and processing professionals can, you know, transform equipment maintenance from just a necessary overhead cost into an actual strategic advantage that extends machinery life and boosts overall production.

SPEAKER_03 1:02

Yeah, it's it's a completely different way of looking at the floor.

SPEAKER_02 1:04

Right. So today we're taking a really hard look at how to pull processing facilities out of that reactive survival mode because we really need to reframe the entire relationship between the plant floor and the maintenance team.

SPEAKER_03 1:17

Especially right now.

SPEAKER_02 1:18

Yeah, exactly. With everyone operating under such strict capital constraints and just, you know, constantly being asked to do more with less.

SPEAKER_03 1:26

In manufacturing, maintenance is so often treated as just a necessary evil. You know, it's viewed as a cost center, a total drain on the operating budget. Like it's just the price of doing business to keep the belts moving.

SPEAKER_02 1:38

Just the line item you resent paying.

SPEAKER_03 1:39

Right. But flipping that perspective, it actually changes the entire financial trajectory of a plant.

SPEAKER_02 1:45

How so?

SPEAKER_03 1:46

Well, a highly disciplined strategic maintenance program, it actually postpones those massive capital expenditures. It allows a facility to meet these rising, really aggressive production demands without having to pour concrete for a plant floor expansion or drastically inflate the maintenance payroll.

SPEAKER_02 2:05

So it's it's about unlocking the hidden capacity that's already sitting right there on your floor.

SPEAKER_03 2:09

Exactly. It's already there.

SPEAKER_02 2:10

But before we can talk about unlocking that hidden capacity, I think we have to look honestly at what's actually happening on those floors right now. Because a lot of plants are caught in this brutal trap of the run-to-fail model. And the logic behind it, it sounds deceptively practical at first glance, right? Especially if you're a CFO reviewing a quarterly budget.

SPEAKER_03 2:28

Oh, the spreadsheets love run-to-fail.

SPEAKER_02 2:30

Right. The mindset is basically hey, why spend money fixing something that's technically still running? We'll just, you know, replace the component when it finally breaks.

SPEAKER_03 2:38

Which, like you said, sounds incredibly practical on paper, but the actual fallout on the production floor is just it's devastating.

SPEAKER_02 2:46

Because it's unpredictable.

SPEAKER_03 2:47

Exactly. The run-to-fail approach guarantees that your failures will be a surprise. And surprises in manufacturing are always expensive. Oh, yeah. When a critical machine goes down without warning, you aren't just fixing a machine. You're immediately dealing with cascading consequences. You've got massive production delays that ripple through the entire supply chain.

SPEAKER_02 3:07

And the operators are just stuck.

SPEAKER_03 3:09

Right. You have highly frustrated teams who just lose all their rhythm and momentum. And financially, I mean, you are paying an exorbitant premium for emergency replacement parts.

SPEAKER_02 3:20

Expedited overnight shipping.

SPEAKER_03 3:21

Exactly. All while absorbing the massive costs of idle labor on the plant floor. I mean, your operators are still on the clock, but they're producing absolutely zero sellable product.

SPEAKER_02 3:32

Yeah, and that pressure to just keep the lines moving at all costs. It leads to some deeply flawed compromises. One of those common ones that the article pointed out, and frankly, it's pretty relatable, is trying to squeeze dedicated preventive maintenance into the equipment cleaning and sanitation cycles.

SPEAKER_03 3:48

Oh, this happens all the time.

SPEAKER_02 3:50

All right. So a plant manager looks at the schedule and figures, okay, the machine is already powered down. It's locked out for the sanitation crew anyway. So why not have the maintenance techs just, you know, get in there and do their checks at the exact same time?

SPEAKER_03 4:05

It's it's such a classic mistake.

SPEAKER_02 4:07

And the source had this brilliant analogy for it. They said it's like trying to change your car's oil while you're driving it through an automatic car wash.

SPEAKER_03 4:16

Which is, I mean, it's a perfectly accurate way to visualize the chaos of that specific environment.

SPEAKER_02 4:22

Okay, but hold on. Let me play devil's advocate for a second. Let's look at this from the perspective of a plant manager whose production schedule is packed solid for the next three weeks.

SPEAKER_03 4:31

Okay.

SPEAKER_02 4:32

If capital is tight and you literally cannot afford to take the line down for an isolated dedicated maintenance window, isn't multitasking during the sanitation cycle just like necessary evil? Why is it so dangerous to just squeeze the wrench time in right then and there?

SPEAKER_03 4:47

Well, it really comes down to the fundamental quality of the work environment and honestly, human focus.

SPEAKER_02 4:52

What do you mean?

SPEAKER_03 4:53

So multitasking looks like pure efficiency on a gaunt chart. But the reality on the floor during a cleaning cycle, it's wet, it's chaotic, and it's heavily focused on sanitation compliance.

SPEAKER_02 5:05

Right. They're washing things down.

SPEAKER_03 5:07

Yeah, you have high-pressure hoses running everywhere, chemical foams being applied. The sanitation crew is moving quickly to hit their own strict deadlines.

SPEAKER_02 5:15

So it's just a totally distracting environment.

SPEAKER_03 5:17

Exactly. And when maintenance is performed in that setting, it's inevitably rushed. The technicians are quite literally working around cleaning crews, trying to beat a tight clock before the line restarts. And because the work is hurried and the environment is just completely hostile to precision work, technicians end up missing the underlying subtle issues. Trevor Burrus, Jr.

SPEAKER_02 5:37

They're just doing the bare minimum to get out of the way.

SPEAKER_03 5:40

Right. They might quickly grease a fitting, but they will completely miss, you know, the faint vibration of a failing bearing. And those missed issues, they will inevitably resurface at the absolute worst times, usually right in the middle of a peak production run.

SPEAKER_02 5:54

So if that car wash approach is the absolute bottom of the barrel, how does a facility systematically climb out of that reactive pit?

SPEAKER_03 6:02

They have to move up what's called the maturity curve.

SPEAKER_02 6:04

Right. The maturity curve.

SPEAKER_03 6:05

Yeah.

SPEAKER_02 6:06

Which acts as a sort of roadmap for evolving a plant's entire operational philosophy. And it moves through three distinct stages. So the first stage is reactive, which is that rend-to-fail model we talked about. Wait for the disaster, then react.

SPEAKER_01 6:17

Exactly.

SPEAKER_02 6:18

Then the second stage is proactive. That involves scheduled maintenance tasks that are actually informed by equipment usage guidelines and historical failure data.

SPEAKER_03 6:26

Get and get ahead of the curve.

SPEAKER_02 6:28

Right. And then the third highest stage is predictive, where you use condition-based monitoring to actually identify when a machine is starting to deviate from its normal baseline long before a failure ever actually occurs.

SPEAKER_03 6:41

And transitioning between these stages is easily the hardest part of the journey. Moving from reactive to proactive requires a massive, massive cultural shift.

SPEAKER_02 6:50

I can imagine.

SPEAKER_03 6:50

It means a plant manager has to willingly shut down a perfectly functioning line on like a Tuesday afternoon just to perform scheduled maintenance.

SPEAKER_02 7:00

Which hurts when you have orders to fill.

SPEAKER_03 7:02

It hurts. That requires immense discipline and a willingness to sacrifice a small amount of immediate throughput for long-term stability. But the hard data supporting this shift is just overwhelming.

SPEAKER_02 7:13

Yeah, the numbers are crazy.

SPEAKER_03 7:15

Right. Implementing proactive and predictive models reduces overall downtime by 30 to 50 percent.

SPEAKER_02 7:21

30 to 50 percent.

SPEAKER_03 7:22

Yeah. It cuts maintenance cost by 25 to 30 percent. And it extends the overall life of the capital equipment by several years.

SPEAKER_02 7:30

Let's translate those percentages into reality. Because a 50% reduction in downtime changes the entire financial outlook of a plant.

SPEAKER_03 7:38

Oh, absolutely.

SPEAKER_02 7:38

If your primary packaging line is typically down for, say, 10 hours a week just due to reactive firefighting, cutting that in half gives the facility back roughly a full month of production time by the end of the year.

SPEAKER_03 7:51

A whole month. Just think about the revenue on a month of extra production.

SPEAKER_02 7:55

It's massive. And we all track OEE, right? Overall equipment effectiveness. Right. We know maintenance impacts availability by simply reducing that hard downtime. But it also silently attacks the other two pillars of OEE, which are performance and quality.

SPEAKER_03 8:11

And those silent attacks are often the most expensive.

SPEAKER_02 8:14

How so?

SPEAKER_03 8:14

Well, when we look at performance within OEE, a machine might be technically running. So the availability metric looks totally fine on paper.

SPEAKER_01 8:23

Right.

SPEAKER_03 8:24

But if it has, say, a slightly worn drive belt, it might be experiencing constant micro stops, or the operators might have to run it at 80% of its optimal speed just to keep it from jamming up.

SPEAKER_02 8:35

So you're losing 20% of your output right there.

SPEAKER_03 8:38

Exactly. Proper proactive maintenance restores that lost performance capacity. Yeah. And then there's quality.

SPEAKER_02 8:43

Right. The third pillar.

SPEAKER_03 8:44

Say you have a filler head that's vibrating ever so slightly out of specification. It might not shut the machine down, but it might underfiller damage one out of every hundred packages.

SPEAKER_02 8:53

Which adds up.

SPEAKER_03 8:54

It creates a massive hidden stream of rejected product and wasted material. So by elevating the maintenance strategy, you directly elevate your true OEE score across the board.

SPEAKER_02 9:06

Before we move forward, let's make sure we have a crystal clear distinction between proactive and predictive maintenance. So proactive is like me changing my car's oil every 3,000 miles simply because the owner's manual dictates that timeline.

SPEAKER_03 9:20

Right. It's time-based or usage-based.

SPEAKER_02 9:22

But predictive is having a smart sensor inside the engine block that continuously monitors the viscosity and tells me the oil is actually breaking down today based on the reality of my specific driving habits.

SPEAKER_03 9:34

That is a perfect analogy. Predictive measures the actual physical reality of the equipment in real time rather than relying on a generalized timeline.

SPEAKER_02 9:42

It's so much smarter.

SPEAKER_03 9:43

It's incredibly powerful. But and and this is a huge, but you can wire a plant with a million dollars worth of thermal cameras and vibration sensors. And if the human operators on the floor do not care, that data just dies on a dashboard.

SPEAKER_02 9:55

Oh, interesting.

SPEAKER_03 9:55

Yeah, you cannot just buy a piece of diagnostic software, hand it to a stressed-out technician, and declare, hey, the plant is now predictive. Getting to that highly effective state requires a deeply ingrained human framework to support all that technology.

SPEAKER_02 10:11

Which brings us directly to TPM or total productive maintenance. And this is a massive paradigm shift for most facilities. It basically elevates maintenance from being this isolated backroom function, you know, where the mechanics hide until something breaks.

SPEAKER_03 10:26

Right in the maintenance cage.

SPEAKER_02 10:27

Yeah. It changes it to being a frontline priority for the entire facility. In a TPM environment, there's a real strategic division of labor. Machine operators take direct, daily ownership of routine inspections, cleaning, lubrication, and just basic mechanical upkeep.

SPEAKER_03 10:43

Yes.

SPEAKER_02 10:44

Meanwhile, the dedicated maintenance teams shift their focus toward high-level diagnostics, long-term planning, and system-wide improvements.

SPEAKER_03 10:50

It's a complete reorganization of effort.

SPEAKER_02 10:52

But hold on, let me push back again here. If I'm a machine operator in a fast-paced line and I am already stressed out about hitting my daily output quota, this just sounds like management dumping the maintenance team's busy work onto my flight.

SPEAKER_03 11:06

Oh, for sure. That's the initial reaction.

SPEAKER_02 11:08

Right. Why wouldn't I instantly resent this? Like I was hired to run the machine, not fix it.

SPEAKER_03 11:13

And that resentment is almost guaranteed if the transition is handled poorly. The I operate you fix mentality is deeply, deeply entrenched in manufacturing culture.

SPEAKER_02 11:23

Yeah, very much so.

SPEAKER_03 11:24

But when TPM is implemented with proper training and real leadership support, it completely flips that dynamic. I mean, think about the daily friction an operator faces.

SPEAKER_02 11:34

The little annoyances.

SPEAKER_03 11:35

Exactly. They are the ones who have to deal with the minor, infuriating jams caused by, you know, a loose guide rail or a dirty photo eye sensor. When operators are trained and empowered to perform basic daily upkeep, they catch those small issues before they snowball into massive headaches that shut down their line for four hours.

SPEAKER_02 11:54

So it actually makes their day easier in the long run.

SPEAKER_03 11:57

Yes. It gives them actual control over their own success and their own work environment.

SPEAKER_02 12:02

It transforms them from just being, you know, button pushers into true owners of their process.

SPEAKER_03 12:08

Exactly.

SPEAKER_02 12:09

And simultaneously, it respects the skill level of the maintenance technicians. It frees up your highly skilled, highly paid mechanics to do the complex, interesting diagnostic work they actually went to school for, rather than spending their 12-hour shifts just changing air filters and tightening loose bolts.

SPEAKER_03 12:28

Right. It creates a truly symbiotic relationship on the floor, but you know, this is not a plug-and-play solution that you can just roll out over a weekend.

SPEAKER_02 12:36

No, I imagine not.

SPEAKER_03 12:37

It requires significant time, rigorous discipline, and extensive cross-functional training. And leadership has to be willing to take a temporary hit on production metrics.

SPEAKER_02 12:47

Oh, because they're learning.

SPEAKER_03 12:49

Right. You cannot ask an operator to take on 30 minutes of daily machine inspection and still demand they hit the exact same output numbers they were hitting before.

SPEAKER_02 12:57

That wouldn't be fair.

SPEAKER_03 12:58

No. You are fundamentally changing how the entire organization views and engages in equipment care. And that requires a long-term, unwavering commitment from the executive level all the way down to the shift supervisors.

SPEAKER_02 13:12

Okay, so let's say you have that TPM culture established. The operators and technicians are finally working in harmony rather than pointing fingers at each other.

SPEAKER_03 13:20

Aaron Powell A beautiful thing.

SPEAKER_02 13:22

What do these predictive tools actually look like in action? Because predictive maintenance can easily sound like this high-tech buzzword that requires an army of software engineers to decipher.

SPEAKER_03 13:31

Right. It sounds like sci-fi. But the reality is that the tools are surprisingly accessible, and they're often already within reach for most mid-sized facilities. Really? Yeah, we aren't always talking about artificial intelligence or complex machine learning algorithms. Processing environments can utilize straightforward inline current meters, handheld thermal imaging cameras, acoustic vibration analysis tools, simple oil sampling kits.

SPEAKER_02 13:55

Stuff that's been around for a while.

SPEAKER_03 13:57

Exactly. These tools serve as early warning systems, detecting the invisible signs of equipment degradation months before a physical failure ever occurs.

SPEAKER_02 14:07

I want to talk about a specific scenario from the research that really illustrates the true power of this approach.

SPEAKER_03 14:12

Yeah.

SPEAKER_02 14:13

There was this facility dealing with a massive blender motor.

SPEAKER_03 14:18

Oh, the blender story. This is a great example.

SPEAKER_02 14:20

Yeah. So this blender was frequently overloading, tripping the breakers, and shutting down the entire blending system. The plant leadership was incredibly frustrated. They had actually drawn up plans for a massively expensive multi-million dollar full equipment replacement. Which is wild. Right. They genuinely believed the machine was simply at the end of its useful life and just, you know, could no longer handle the product viscosity.

SPEAKER_03 14:44

They were fully prepared to spend significant capital because they were treating the symptom. They weren't investigating the root cause.

SPEAKER_02 14:50

So what changed?

SPEAKER_03 14:51

Well, before pulling the trigger on the replacement, the maintenance team decided to apply some basic predictive tools. They installed inline current sensors to continuously monitor the electrical draw of the motor. And then they studied the machine's startup profile under load.

SPEAKER_02 15:08

And what did they find?

SPEAKER_03 15:09

What they discovered was entirely operational. It had nothing to do with the machine being broken. The fixed, time-based routine they were using to run the blender was forcing the motor to push through highly viscous material before the product was properly sheared.

SPEAKER_02 15:25

Oh wow.

SPEAKER_03 15:26

Yeah, the motor was working far too hard, drawing massive amps and overheating simply because the timer on the wall told it to ramp up to full speed.

SPEAKER_02 15:34

So it was literally just following a bad schedule.

SPEAKER_03 15:36

Exactly.

SPEAKER_02 15:37

So instead of throwing a massive piece of capital equipment in the scrapyard, they just changed the operational rules. They adjusted the control sequence to be dictated by the actual current draw rather than a rigid timer.

SPEAKER_03 15:49

Right. By tying the sequence to the current draw, the machine waited until the material was adequately sheared and the resistance dropped before it ramped up to the next speed tier.

SPEAKER_02 15:58

That's so smart.

SPEAKER_03 15:59

They stopped forcing the machine to conform to a schedule that was destroying it and started responding to what the machine was physically capable of doing in real time.

SPEAKER_02 16:08

And that fixed it.

SPEAKER_03 16:09

That one simple control adjustment eliminated the overloads and shutdowns completely. It extended the life of the blending system by over two years.

SPEAKER_02 16:19

Two years.

SPEAKER_03 16:19

Yeah. Which allowed the facility to replace the blender during a carefully planned facility-wide renovation down the road rather than during an emergency crisis.

SPEAKER_02 16:29

You know, the magic in that scenario wasn't just the purchase of an inline current sensor. The real magic was the willingness to let the machine dictate its own needs based on actual physical data.

SPEAKER_03 16:41

100%.

SPEAKER_02 16:41

And there are countless other applications for this, right? Like a technician armed with a relatively inexpensive thermal camera can scan a massive electrical control panel and spot a single overheating breaker that's slowly failing.

SPEAKER_03 16:53

Exactly. And they can replace that $50 breaker during a scheduled shift change, completely avoiding a catastrophic electrical failure that would have taken the line down for three days.

SPEAKER_02 17:03

Yeah. Or vibration sensors. Placing a small acoustic sensor on a critical process pump allows the maintenance team to track the specific frequency of the bearings.

SPEAKER_03 17:12

They can catch microscopic bearing wear months before the bearing actually seizes and destroys the internal seals of the pump.

SPEAKER_02 17:20

Or routine gas and oil tests for high voltage transformers, tracking the breakdown of insulation so you can schedule a replacement years in advance.

SPEAKER_03 17:27

Right. None of these strategies require massive multimillion dollar upfront investments. They are simply disciplined applications of available diagnostic tools that preserve massive amounts of capital over the long term.

SPEAKER_02 17:41

But and there's always a but letting the machine tell you what it needs only works if leadership is actually willing to listen to what the machine is saying.

SPEAKER_03 17:49

That is the hardest part.

SPEAKER_02 17:50

Right. Having the most accurate sensors and the smartest data dashboards means absolutely nothing without the right operational culture. If the thermal camera says a breaker is failing, but the production manager refuses to let the maintenance team turn off the panel to fix it, the predictive system is completely useless.

SPEAKER_03 18:07

Completely useless. Culture is the bedrock of everything we've discussed today. The entire predictive ecosystem collapses instantly into reactive firefighting when preventative tasks are constantly deferred by management.

SPEAKER_02 18:19

Yeah.

SPEAKER_03 18:20

If plant leadership forces technicians to skip scheduled maintenance windows just to squeeze out a tiny bit more immediate production for the shift, that strategic advantage just disappears. If technicians are consistently pressured to just get it running with, you know, a temporary patch or a zip tie instead of taking the time to fix the root cause, the facility will never ever escape the run-to-fail trap.

SPEAKER_02 18:42

Which brings us right back to the scenario we started with. It is incredibly easy to sit in a boardroom and decree that the plant will no longer defer maintenance. But what happens on that Friday afternoon?

SPEAKER_03 18:54

Ah, right.

SPEAKER_02 18:55

The massive client order is due, the line is already behind schedule because of some supply chain hiccup. And your predictive vibration sensor triggers an alert saying the primary drive motor needs to be taken offline immediately for four hours of maintenance. The culture is really tested when the pressure is at its absolute highest.

SPEAKER_03 19:13

That moment is the ultimate litmus test of a plant's operational culture. And this is exactly why maintenance must be viewed fundamentally as a force multiplier rather than a bottleneck to production.

SPEAKER_02 19:24

A force multiplier.

SPEAKER_03 19:25

Yes. Because if plant leadership chooses to ignore the sensor, push the machine past its limits, and sacrifice the equipment just to meet that specific Friday order, well, they might successfully win the week.

SPEAKER_02 19:40

But at what cost?

SPEAKER_03 19:41

Exactly. They are practically guaranteeing that the drive motor will suffer a catastrophic, unplannable failure next week. By winning the week, they ensure they will miss next month's orders entirely.

SPEAKER_02 19:52

It's the difference between a short-term gamble and a long-term strategy.

SPEAKER_03 19:56

Yes.

SPEAKER_02 19:56

Winning plants have highly visible, strictly enforced strategies to prevent that exact Friday afternoon panic. They hold weekly, cross-functional planning meetings where the maintenance schedules and priorities are given the exact same weight and authority as the daily production goals.

SPEAKER_03 20:12

They also treat downtime events differently. When a machine does fail, winning plants review the event not to assign blame to an operator or a mechanic, but to harvest learnings. They conduct root cause analyses to understand why the predictive tools missed the failure or why the TPM process didn't catch the degradation during a routine inspection.

SPEAKER_02 20:32

Always learning.

SPEAKER_03 20:33

Always. In these elite facilities, maintenance truly acts as the connective tissue for the broader efficiency ecosystem. I mean, you cannot optimize your energy utility usage, reduce your material waste, or create a truly safe work environment if your heavy equipment is constantly running out of specification, vibrating violently, or breaking down unpredictably.

SPEAKER_02 20:55

Right. Maintenance enables smarter line utilization across the board. You simply cannot increase your overall throughput or scale your business if your teams are constantly stopping to put out literal or figurative fires.

SPEAKER_03 21:05

No, you can't.

SPEAKER_02 21:06

So what does this all mean for the processing and packaging professionals out there navigating this landscape? Look, in an era defined by shrinking capital budgets, supply chain volatility, and constantly rising production expectations, treating maintenance as a strategic advantage is no longer just a best practice. It is a strict competitive imperative.

SPEAKER_03 21:27

I couldn't agree more. The facilities that survive and thrive will be the ones that recognize the true value of their maintenance teams. Absolutely. By investing the necessary time in proactive practices, leveraging these highly accessible predictive tools, and cultivating a culture of cross departmental care, processors can finally shift their posture. They can move away from reactive survival mode and step into a phase of proactive controlled performance.

SPEAKER_02 21:53

Because every single hour of avoided downtime is actual production preserved.

SPEAKER_03 21:57

And every year of extended equipment life is a hard. Hard capital dollar saved that can be reinvested right back into the business.

SPEAKER_00 22:05

Thank you for listening to Through the Line Packaging and Processing. You can listen to more episodes on all streaming platforms. Be sure to visit us at packworld.com, ProFoodworld.com, and healthcarepackaging.com for more packaging and processing news. This podcast was edited by Bree Guns.