ROI for Equipment Maintenance: Why Preventive Fixes Struggle to Get Approved

The ROI Trap in Equipment Maintenance Decisions

It is cool when I hear engineers early in their career chat with me about their engineering, both design and manufacturing. about, well, I want to say face-palm moments.  One such example is when executives often ask for ROI on equipment maintenance numbers, even though the line has long since been developed and the equipment is already running.  On the surface, this sounds reasonable. In practice, it creates a trap.

ROI was designed to evaluate new investments, not to justify the continued operation of existing assets. When leaders demand ROI calculations for equipment maintenance to support proactive fixes, they unintentionally bias decisions toward failure-driven spending rather than prevention.

Why ROI Breaks Down for Preventive Maintenance

There Is No “Return” on Doing Nothing

When equipment is already operating:

  • Capital costs are sunk

  • Maintenance is an operating expense

  • Avoided failures are hypothetical

ROI requires a clear “investment” and a measurable “return.” Preventive maintenance offers risk reduction, not immediate revenue. This makes ROI equipment maintenance appear weak—right up until the failure occurs.  In fact, as experienced project managers developing products and manufacturing lines, we know that the line is designed based on the volume of parts produced per unit time.

What Happens When ROI Is the Gatekeeper

From decades of experience, the ROI process is not a rapid approval process. From that experience, these approvals can be on a fixed schedule, such as quarterly, as part of the project and CapEx approvals for the organization.  We need to remember that a down manufacturing line costs for every hour the line is not functioning.  We should keep this at the front of our mind when thinking about the predictable things that can happen and reacting long before the failure. Organizations that rely solely on ROI equipment maintenance tend to:

  • Defer maintenance until failure

  • Normalize rising downtime and repair costs

  • Justify spending only after a disruption occurs

This leads to the familiar pattern:

“Wait for disaster… then ask for ROI.”

At that point, the decision is no longer economic—it’s reactive.

What to Use Instead of ROI for Equipment Decisions

Business Case + Risk-Based Cost

First, we suggest that the initial business case and piece price cost include the maintenance of the manufacturing line as part of the project to deliver the product and the manufacturing line.  Our manufacturing line staff should understand the equipment maintenance required to keep the line operating for the number of parts to be produced before addressing preventive maintenance and anticipated failures.  This is part of the project calculation and is amortized into the piece price.

Part of a better approach is comparing options using:

  • Lifecycle maintenance costs

  • Probability of failure

  • Consequence of failure (downtime, safety, reputation)

ROI still has a role—but only when evaluating specific interventions, not the act of “keeping equipment running.” For example, we may want to improve throughput speed or volume, which requires CapEx; for example, we may want to modify the manufacturing line with new technology updates.

In other words:

  • Use ROI equipment maintenance to compare fix options

  • Use a business case to decide whether to intervene

Accounting for Equipment Maintenance in the Initial Business Evaluation

The most effective way to avoid misuse of ROI equipment maintenance is to account for maintenance correctly at the very beginning of the business evaluation.

Instead of treating maintenance as an afterthought, it should be embedded in the operation’s baseline economics.  The maintenance costs are including in the line downtime calculation as well as the impact on unit costs, and subsequently the profit and sales price.

Include Maintenance as Part of Total Cost of Ownership

Initial business evaluations should explicitly model:

  • Preventive and corrective maintenance costs

  • Expected maintenance cost growth over time

  • Spare parts availability and labor constraints

  • Downtime associated with maintenance activities

By doing this early, ROI equipment maintenance calculations become comparative—not defensive.

Incorporate Product Volume and Throughput Impacts

Maintenance decisions directly affect product volume, yet this is often excluded from financial analysis.

Evaluations should reflect:

  • Lost production volume due to unplanned downtime

  • Reduced throughput from degraded equipment performance

  • Volume recovery or increase from proactive maintenance

  • Revenue variability tied to equipment reliability

For example, even a small reduction in availability can materially affect:

  • Unit cost (and therefore profit margins)

  • Revenue targets

  • Customer delivery commitments

Ignoring volume effects makes ROI equipment maintenance appear artificially low while understating real business risk.

Establish a Credible “Do Nothing” Baseline

A sound business evaluation defines a realistic baseline that includes:

  • Increasing maintenance burden

  • Declining equipment efficiency

  • Higher probability of volume loss over time

When this baseline is visible, preventive maintenance is no longer framed as “extra spend.” Instead, it becomes a risk-mitigation and volume-protection strategy, allowing ROI equipment maintenance to be applied only where it truly fits—by comparing intervention options.

The Bottom Line

ROI is a persuasive metric—but a poor decision-maker for preventive maintenance.  Maintenance is not the same thing as CapEx.  Our line may at times require significant updates, such as new technology or equipment to improve its performance, which may manifest as new projects. These updates will often require business justification, such as ROI.

If leaders want reliable equipment, fewer surprises, and lower long-term cost, they must stop forcing ROI equipment maintenance to answer questions it was never designed to solve.

 

 

 

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Post by Jon Quigley