When production stops, the costs quickly extend beyond parts and labor to include lost output, delayed shipments, disrupted schedules, and overtime for maintenance and operations teams. As costs increase, deciding whether to continue repairing an asset or replace it becomes a much more significant business decision. Level of Repair Analysis (LORA) helps you make those decisions with greater confidence by evaluating maintenance costs, asset conditions, operational risk, and remaining useful life.
The challenge is that the information needed to support those decisions often lives in different systems, reports, and departments.
By bringing together maintenance, operational, and financial data with the right software solution, you can identify trends earlier, build stronger business cases for capital investments, and make decisions that improve both reliability and long-term asset performance.
Key takeaways
- Use LORA to evaluate the full business impact of an asset, not just the immediate repair cost. Maintenance expenses, downtime, labor, inventory consumption, and operational risk all play a role in determining whether continued repairs create value.
- Build repeatable workflows that generate reliable asset data over time. Standardized inspections, consistent maintenance records, and connected operational and financial information make repair-versus-replace decisions more accurate and defensible.
- Track lifecycle, reliability, and cost KPIs together. Trends in maintenance costs, downtime, work order frequency, asset age, and inspection results can help you identify replacement candidates before recurring failures begin affecting production and profitability.
Turning these ideas into action requires more than maintenance records alone. You need a structured approach for evaluating costs, understanding operational impact, and collecting reliable asset data over time.
How to set the right goals for your LORA program
The objective of LORA is not simply to decide whether an asset should be repaired or replaced. The objective is to make that decision using a complete understanding of cost, risk, and operational impact.
To do that effectively, start by answering two questions. First, what is this asset actually costing your organization? Second, how important is this asset to production?
Understand the full cost of keeping an asset in service
Many repair-versus-replace decisions focus too heavily on the immediate repair bill. While labor and parts costs are important, they rarely tell the whole story.
A conveyor motor that costs a few thousand dollars to repair may appear to be a good candidate for continued maintenance. But when that same motor repeatedly interrupts production runs, requires emergency labor, consumes technician time, and drives additional parts purchases, the economics begin to change.
To make stronger decisions, evaluate the total cost of ownership instead of individual repair events. Include maintenance spending, downtime costs, contractor expenses, inventory consumption, inspection findings, and future repair expectations. Looking at these factors together helps you determine whether continued investment in an asset creates value or simply delays a larger problem.
This long-term view is important because most of an asset’s lifecycle occurs after installation. In the Asset Champion podcast episode “The Power of Construction” – A Holistic View of the Asset Lifecycle, Kris Lengieza, Field Chief Innovation Officer at Procore Technologies, emphasized the importance of thinking beyond construction and focusing on long-term operational performance.
“Construction process represents only about 20% of an asset’s lifecycle, with operations and maintenance of the building encompassing the rest.”
Start with a complete asset history. When you can review maintenance records, inspection results, work order history, downtime events, and lifecycle costs in one place, recurring issues become easier to identify and quantify. What looks like a series of isolated repairs may be a pattern that points to a more cost-effective replacement strategy.
A modern maintenance management platform sets you up for success by helping you create a centralized record of asset costs, maintenance activity, inspections, and service history throughout the asset lifecycle.
Understand the asset’s impact on production
Repair costs are only part of the decision. You also need to understand what happens when the asset fails. A piece of equipment that supports a critical production process carries a much different risk profile than a noncritical asset. If failure can stop production, create quality issues, delay customer orders, or introduce compliance concerns, the consequences extend far beyond maintenance.
Consider a packaging line that experiences recurring failures. Even if individual repairs seem reasonable, repeated interruptions may reduce throughput, create bottlenecks, and increase operating costs across the facility. In situations like these, replacement may deliver greater long-term value despite the higher upfront investment.
As part of your LORA process, evaluate how each asset contributes to production, safety, compliance, and service delivery. The more critical the asset, the more heavily you should weigh operational risk alongside maintenance costs.
If the asset has the potential to disrupt production, miss customer commitments, or create compliance exposure, incorporate those impacts into the decision instead of focusing exclusively on repair expenses.
How to build workflows that support consistent repair-versus-replace decisions
To make LORA a repeatable process rather than a one-off exercise, build workflows that generate reliable data over time. The goal is to ensure every repair-versus-replace decision is based on the same types of information, regardless of facility, shift, or technician.
Standardize maintenance and inspection processes
Document maintenance work consistently across sites and teams. When maintenance teams record failures differently, comparing asset performance becomes difficult. Inconsistent records make it harder to identify recurring issues, evaluate lifecycle costs, and support capital planning decisions.
Standardized inspections, maintenance procedures, and documentation practices create a stronger foundation for lifecycle analysis. They also make it easier to uncover patterns that might otherwise remain hidden.
For example, if you operate multiple plants, standard inspection procedures can help you identify whether the same type of pump consistently develops seal failures after a certain number of operating hours. Without comparable inspection and maintenance records, spotting those trends becomes much more difficult.
Focus on creating processes that capture the same information every time work is performed. Consistency improves the quality of your analysis and reduces reliance on tribal knowledge.
Capture condition and utilization data alongside maintenance history
Work orders tell you what happened. Condition and utilization data help explain why. Track operating hours, meter readings, inspection findings, sensor data, and utilization trends alongside maintenance records. That additional context makes repair-versus-replace decisions significantly more accurate.
For example, two forklifts may share the same model year and maintenance history, but the unit operating across multiple shifts every day may be approaching replacement much sooner than equipment used only occasionally.
When you combine maintenance records with operational data, you can identify deterioration trends earlier and make lifecycle decisions before recurring failures begin affecting production.
Connect maintenance, inventory, and financial information
Bring together the information that different teams use to evaluate asset performance. Maintenance teams understand repair history. Operations teams understand production impact. Finance teams understand lifecycle costs and capital budgets. Inventory teams understand parts availability and procurement challenges.
LORA becomes far more effective when you can evaluate those factors together.
For example, a repair may appear inexpensive when viewed only through a maintenance lens. Once you account for downtime costs, inventory shortages, warranty status, and the asset’s role in production, the best decision may look very different.
Connect maintenance, operational, inventory, warranty, and financial data wherever possible. The more complete the picture, the easier it becomes to prioritize investments, justify replacement decisions, and support long-term reliability goals.
How to measure what matters for LORA
LORA depends on more than maintenance records. To understand whether continued investment in an asset makes financial and operational sense, you need visibility into cost, reliability, utilization, and lifecycle performance. Tracking the following KPIs helps you identify assets that are becoming increasingly expensive to maintain, creating operational risk, or approaching the point where replacement may deliver greater value than continued repair.
| KPI | How It Supports LORA |
|---|---|
| Maintenance cost per asset | Identifies assets becoming more expensive to maintain |
| Asset downtime | Measures the operational impact of asset failures |
| Mean time between failures (MTBF) | Reveals long-term reliability trends |
| Mean time to repair (MTTR) | Indicates repair complexity and equipment maintainability |
| Work order frequency | Highlights recurring asset issues and chronic failures |
| Asset utilization | Provides operating context for repair-versus-replace decisions |
| Inspection failure rate | Identifies deteriorating asset condition |
| Parts consumption | Shows growing maintenance burden and increasing repair requirements |
| Inventory accuracy | Reduces stockouts and improves confidence in repair planning |
| Warranty claims and costs | Identifies opportunities to reduce repair spending and leverage warranty coverage |
| Asset age | Provides lifecycle context for replacement planning |
| Depreciation and lifecycle cost | Supports capital planning and total cost of ownership analysis |
| Vendor cost per asset | Measures external maintenance spend and contractor dependency |
| Preventive-to-corrective maintenance ratio | Indicates whether maintenance efforts are proactive or reactive |
Review these metrics together rather than in isolation. A single KPI rarely justifies replacement on its own. An aging asset with rising maintenance costs, increasing downtime, frequent work orders, growing parts consumption, and declining inspection results presents a much stronger business case than any individual metric alone. Tracking trends over time helps you identify replacement candidates before recurring failures begin affecting production, budgets, and long-term reliability goals.
Improve repair-versus-replace decisions with connected asset data
LORA works best when you can evaluate maintenance costs, asset condition, operational risk, and lifecycle performance together instead of in separate systems and spreadsheets. With a complete view of asset history, inspections, downtime trends, inventory usage, and financial data, you can identify replacement candidates earlier, reduce unexpected failures, and make investment decisions based on the full impact an asset has on production. The result is a more consistent approach to reliability, stronger capital planning, and better use of maintenance resources.
Modern asset management platforms help bring those data sources together into a single operational record, giving maintenance, operations, and finance teams the visibility they need to make confident repair-versus-replace decisions.
Learn how Eptura Asset helps organizations improve asset performance, strengthen lifecycle planning, and support data-driven maintenance decisions across the enterprise.
Frequently Asked Questions
By Jonathan Davis
As a content creator at Eptura, Jonathan Davis covers asset management, maintenance software, and SaaS solutions, delivering thought leadership with actionable insights across industries such as fleet, manufacturing, healthcare, and hospitality. Jonathan’s writing focuses on topics to help enterprises optimize their operations, including building lifecycle management, digital twins, BIM for facility management, and preventive and predictive maintenance strategies. With a master's degree in journalism and a diverse background that includes writing textbooks, editing video game dialogue, and teaching English as a foreign language, Jonathan brings a versatile perspective to his content creation.
