
Every manufacturing executive I've sat across from in the last 35 years has walked into a transformation engagement with the same instinct: cut costs, add capacity or invest in new technology. It's understandable. Those are the levers that feel tangible.
They show up cleanly on a capital plan, generate excitement in the boardroom and give leadership something concrete to point to when the board asks what's being done to improve performance. The problem is that in the vast majority of cases, none of those moves address the actual source of underperformance.
After managing and leading global assessments across manufacturing, aerospace, energy, consumer goods and automotive sectors in organizations ranging from mid-market operators to Fortune 500 enterprises, I've found the same culprit hiding in plain sight more times than I can count: asset underutilization.
Not broken equipment. Not outdated technology. Not even poor workforce performance. Simply this: the assets the organization already owns are not being used anywhere close to their actual capacity.
Why Most Manufacturers Measure It Wrong
When I ask leadership how their asset utilization looks, I almost always get one of two responses. Either they point me to their OEE dashboard with a number between 65 and 80% and call it acceptable, or they look slightly puzzled because no one has formally tracked it in years. Both responses are warning signs.
OEE is a valuable metric, but it only captures part of the picture. It measures availability, performance and quality within scheduled production time. What it doesn't capture is utilization outside scheduled hours, including nights, weekends and planned downtime windows, and it rarely accounts for the full asset base across facilities, fleets, tooling inventories or logistics infrastructure.
True asset utilization asks a more uncomfortable question: of everything this organization owns or controls that is capable of generating output or value, how much is actually being deployed?
I've worked with manufacturers running at what appeared to be solid OEE performance but effectively utilizing only 40 to 55% of their total available asset capacity when the full picture was factored in. That gap represents millions in unrealized throughput, revenue and margin sitting idle every single day.
The macro data supports this. According to the Federal Reserve's G.17 Industrial Production and Capacity Utilization report (March 2026), manufacturing capacity utilization stood at just 75.6% in February, sitting 2.6 percentage points below its long-run average going back to 1972.
With U.S. manufacturing assets valued at approximately $4.3 trillion (WifiTalents, February 2026), the financial weight of that gap is impossible to ignore. According to IBISWorld's 2026 manufacturing capacity utilization analysis, the sector is not expected to exceed 77.5% utilization this year, meaning the structural underperformance is systemic, not situational. For CEOs preparing for a board review, these are not abstract industry statistics. They are a direct indicator of where financial performance is being left on the table.
Where Utilization Breaks Down
In my experience, underutilization consistently concentrates in three areas, each requiring a different diagnostic lens.
The most common driver is organizational, not mechanical. Production scheduling built around constraints that no longer exist, shift patterns inherited from a previous era, and handoff points that create artificial idle time are responsible for more lost capacity than most leadership teams realize.
The root cause almost always traces back to a scheduling logic that hasn't been fundamentally reassessed in years because no one has had the visibility or mandate to question it.
Maintenance strategy is the second area. Reactive maintenance remains the default in a surprising number of environments, and it is the most expensive strategy available. Beyond unplanned downtime costs, it creates a cascading utilization problem: when one asset fails unexpectedly, idle time ripples across dependent assets. The financial model of a manufacturing business looks very different when maintenance strategy is aligned with actual asset criticality rather than managed as an afterthought.
The third area is cross-facility visibility. Organizations operating multiple sites frequently suffer from asset visibility fragmentation, each facility managing its assets in isolation with no enterprise-level view of where excess capacity exists or where assets could be repositioned to reduce capital expenditure. I've worked with multi-site manufacturers purchasing new equipment at one facility while an identical asset sat underutilized three states away, simply because no one had cross-enterprise visibility to see both at the same time.
Where to Start
Identifying an asset utilization problem is one thing. Knowing where to begin is another. The entry point is a ground-level asset inventory, not just an accounting register, that maps every asset class across every facility, documents theoretical capacity, scheduled use and actual utilization over a minimum 90-day trailing period.
Most organizations discover significant gaps between what their fixed asset register shows and what is actually being used.
From that baseline, resist the temptation to jump to solutions. Quantify the utilization gap by asset class, shift and facility before touching anything. Without a baseline, supported by effective barrier free operational standards, root causes cannot be accurately diagnosed and results cannot be measured or achieved.
Each gap should then be traced to its specific operational cause to be preemptively managed going forward. A utilization gap is a symptom, not a diagnosis, and applying the wrong solution to a misdiagnosed problem is one of the most common and costly mistakes in manufacturing performance improvement.
Once root causes are clear, sequence interventions by financial impact, not operational convenience. Each intervention should be expressed in throughput gained, capital expenditure avoided or margin contribution recovered. This connects operational action directly to financial outcome and gives leadership a defensible basis for investment decisions and board reporting.
Before the Next Capital Request Gets Approved
I am not suggesting that capital investment, technology upgrades or capacity expansion are never the right answer. Sometimes they are exactly the right answer. But every manufacturing executive should be able to answer one question before approving a capital request: have we fully exploited the capacity we already own?
In more than three decades of operational work across some of the most complex manufacturing environments in the world, I've found that the honest answer to that question, when you actually do the rigorous analysis, is almost always no.
The organizations that build a genuine, enterprise-level discipline around asset utilization don't just reduce costs. They generate more output from the same footprint, improve delivery performance, strengthen their competitive position and create the operational visibility that makes every subsequent investment decision smarter and more defensible.
The performance improvement you're looking for may already be sitting in your facility. Sometimes the opportunity isn't in what you need to buy. It's in developing a clear, unsparing picture of what you already have and learning to use it fully.
Kevin Belovsky is Senior Managing Partner Delivery at Brooks International.






















