Total cost of ownership (TCO) takes a lifecycle view of equipment cost—extending far beyond the upfront purchase price. It captures the operational, maintenance and end-of-life expenses that determine whether an asset ultimately delivers value or drains resources.
Tracking TCO helps manufacturers create data-driven manufacturing strategies that drive performance, enhance operational cost tracking and improve investment decisions. Read on to learn more about the core components of TCO, what conditions impact total cost over time and how manufacturers can improve TCO visibility.
What is TCO in manufacturing?
TCO is the total cost to purchase, operate, maintain, repair and dispose of an asset. In a manufacturing context, it can apply to equipment, systems, software and processes. It is also a key component in calculating total manufacturing costs.
The key to understanding TCO is recognizing that it defines costs over time, rather than at a specific point.
Here’s a TCO calculation example. Company A purchases a new packaging machine for its production line. The machine costs $20,000. This is the upfront cost and is the first line item on a TCO list. But it’s not the last. Before the machine can begin operations, it must be installed and tested. It requires power to run and labor to operate. Additional costs include maintenance, repair and disposal or resale.
- Installation and testing: $2,000
- Utility cost: $400/month
- Maintenance cost: $100/month
- Disposal cost: $4,000
If the equipment operates for five years before disposal, Company A pays $24,000 in utilities and $6,000 in maintenance over its lifecycle.
To calculate TCO, all costs are combined:
TCO = $20,000 + $2,000 + $24,000 + $6,000 + $4,000 = $56,000
Although the asset cost $20,000 upfront, lifecycle costs nearly tripled that investment—illustrating why purchase price alone is an unreliable decision metric.
Core components of TCO in manufacturing
There are five core components of TCO in manufacturing, whether applied to a single machine tool or an entire production system. Some of these components are single costs, such as initial purchase price, while others are cumulative, such as maintenance and repairs. For maintenance and operations leaders, these components translate directly into daily tradeoffs—balancing uptime, labor availability and spare parts decisions against long‑term cost and risk.
Acquisition costs
- Purchase price
- Installation
- Commissioning
- Integration with other systems
Operating costs
- Energy and other utilities, such as water or gas
- Labor
Maintenance costs
- Preventive and corrective maintenance
- Spare parts and materials
Downtime and productivity costs
- Unplanned downtime
- Reduced performance that impacts other cost components
End-of-life costs
- Decommissioning
- Resale or disposal costs
Why upfront cost alone is misleading
Upfront cost is often the most visible part of TCO—but rarely the most important. As a result, many companies prioritize lower prices when searching for new assets or equipment. The challenge? Focusing on upfront costs can lead to challenges down the line.
For example, if companies prioritize cost rather than quality, they may end up with equipment that is more prone to failure, in turn leading to higher maintenance and downtime costs over time. In addition, machines built using cheaper parts and materials may have a shorter lifespan, meaning more capital outlay over a shorter period.
While capital budgets are a good starting point, they don’t account for ongoing and hidden costs that increase TCO.
How maintenance strategy influences TCO
Better maintenance strategies help reduce TCO.
Consider a company that relies entirely on reactive maintenance: Instead of scheduled repairs or proactive evaluations, the business waits for assets to break before taking action.
Reactive maintenance increases TCO in two ways: higher repair costs and longer downtime. Because failures are unplanned, teams can’t stage parts or labor in advance, which drives up repair time and expense. At the same time, diagnosing and fixing equipment only after if fails often takes days or weeks, leaving production lines idle and compounding lost output.
Three maintenance strategies can help improve TCO:
- Preventive maintenance: Preventive maintenance is typically scheduled but can also be performed in response to collected machine data. For example, a manufacturer might schedule machine maintenance for the first of every month. Even if maintenance reveals no failure points, it’s an opportunity for staff to check pressure, temperature and vibration levels and ensure they’re within tolerance. Using IIoT sensors, meanwhile, enables the real-time reporting of machine data; if teams notice a steady rise in temperature or pressure, they can take steps to act before failure occurs.
- Predictive maintenance: Predictive maintenance analytics uses data collected from IIoT sensors, programmable logic controllers (PLCs) and manufacturing execution systems (MES) to evaluate machine performance. If data indicates a future failure point, teams can proactively take equipment offline to prevent the issue from occurring.
- Standardized maintenance: Asset health directly impacts TCO. Maintenance improves asset health over both the short and long-term. Effective maintenance, however, relies on standardized practices. These practices encompass how and when maintenance is performed, and what tools and technologies will be used. Taking the time to standardize maintenance frameworks saves time and money down the line.
Downtime as a major negative for TCO
In the example above, Company A’s machine didn’t experience any unexpected downtime. In reality, this isn’t possible; despite best efforts, downtime remains a reality for manufacturing operations.
Downtime has a significant impact on TCO. More machine downtime means higher TCO, which can limit asset profitability. Given that downtime is unavoidable, however, companies need to quantify the impact of offline machinery.
Lost production and missed delivery commitments are the first costs of unplanned downtime. If every part that rolls off an assembly line represents $50 in profit for the company and one part is produced per minute, this means that one hour of downtime costs $3,000 ($50 x 60 parts). Lost production may also lead to partners reducing their order volumes or cancelling contracts entirely if manufacturers miss delivery targets.
Downtime also comes with labor and repair costs. To get critical machines up and running again, organizations may need to pay expert technicians hours or days worth of overtime and spend money expediting the arrival of critical parts.
Finally, customer satisfaction falls if consumers can’t rely on manufacturers to meet delivery deadlines. If promises made aren’t promises kept, buyers may take their business elsewhere. As a result, teams need to track both the frequency and total cost of unplanned downtime.
TCO and asset lifecycle decision-making
Tracking TCO also helps inform repair vs. replacement decisions. In some cases, it’s more cost-effective to maintain existing equipment; in others, companies are better served replacing machinery. TCO data provides the necessary context.
Using TCO analysis, companies can:
- Compare continued maintenance costs vs. the costs of replacement
- Identify diminishing returns from aging equipment
- Support capital planning and asset renewal strategies
- Calculate the opportunity cost of replacement versus repair
Capturing TCO enables companies to balance reliability, cost and performance when choosing to repair or replace equipment.
TCO’s role in procurement
When evaluating new equipment, a TCO model helps procurement teams balance upfront price against long‑term reliability, maintenance demand and operational risk.
For example, procurement teams can use TCO data to evaluate vendors beyond purchase price by considering components such as ongoing operational requirements and long-term maintenance costs. This enables the alignment of industrial procurement strategies with supply chain management and maintenance goals. For example, teams might prioritize equipment that is more costly upfront but is known for enhanced reliability.
Common challenges in measuring TCO
Manufacturers often face challenges in measuring TCO. Some of the most common include:
- Siloed data across finance, maintenance and operations
- Incomplete tracking of downtime and maintenance costs
- Inconsistent asset data across facilities
- Lack of standardized metrics for measuring indirect costs
Solving these challenges starts with consistent data capture. Companies must identify critical metrics, establish reliable collection processes and deploy tools capable of in-depth analysis.
Improving TCO visibility through data and standardization
Standardization improves TCO visibility.
This starts with standardized machine data collection and reporting practices. Ideally, data should be automatically collected by MES or computerized maintenance management systems (CMMS) and reported to teams using a consistent framework. This saves staff time since they don’t need to chase down essential maintenance and TCO information.
Companies should also define maintenance and asset performance optimization metrics that are consistent across assets and operations. This makes it easier for teams to compare current and past operations across multiple asset combinations.
Finally, manufacturers should prioritize the integration of operational and financial management data to help procurement teams better identify TCO opportunities and avoid TCO concerns.
Why TCO is essential for sustainable manufacturing performance
TCO isn’t just a financial metric—it’s a strategic decision‑making tool. Manufacturers that track lifecycle costs can reduce downtime, extend asset life and make more confident repair‑versus‑replace decisions that protect both uptime and capital.
By taking a lifecycle approach to equipment purchase, installation, use and replacement, manufacturers gain a competitive advantage that helps reduce the total cost of ownership and improve overall profitability.
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