As manufacturing operations expand, companies acquire more assets. These assets may be pieces of equipment, spare parts, connected sensors or specialized technologies.
To effectively use these assets, manufacturers need a way to track them from initial purchase to eventual repurposing or replacement. Without this visibility, organizations risk overspending on duplicated assets, missing early signs of failure and exposing operations to avoidable downtime.
Unique identifiers (UIDs) track and manage assets across their entire lifecycle to help improve performance, reliability and data quality. Here’s how.
What is a UID (unique identifier)?
A UID label is a distinct, non-duplicated enterprise identifier assigned to an asset or item. These UIDs remain consistent across an asset’s lifecycle. Once assigned, they are not removed or changed, meaning that no matter where the asset goes or how it is used, the UID follows. UID is similar to the item unique identification (IUID) system created by the U.S. Department of Defense, which may include structured elements such as an issuing agency code to identify the organization assigning the UID. IUID labels and IUID registries are required for any organization that does business with the DoD.
UID in manufacturing typically uses a combination of letters and numbers to identify assets. There are no set rules around the length or complexity of UIDs, and companies may choose to add symbols such as dashes, slashes or asterisks to further identify assets.
Consider a piece of chemical processing equipment in pharmaceutical development. When purchased, the company creates a new UID: 1277345A. This UID marking follows the equipment for its entire lifecycle, regardless of where it is located or how it is used. For example, if the asset is moved to a new production line in a new location, its UID labeling remains the same: 1277345A. If it is decommissioned and placed into storage, its UID barcode or tag does not change.
When purchasing a new asset of the same type, companies will often use UIDs with internal consistency. In the example above, the first asset’s UID was 1277345A. The next might be 1277345B for continuity, or the company might opt for a UID tag such as 1277345A-1.
The unique nature of these identifiers improves tracking and traceability. Because no two UIDs are the same, there is no confusion about which asset is being referenced, evaluated or repaired.
Where UIDs are used in manufacturing and maintenance
UID tags can be used for multiple manufacturing and maintenance assets, including:
- Production equipment and machinery
- Components, parts and subassemblies
- Tools and mobile assets
- MRO inventory management items
- Digital systems such as CMMS, EAM and asset databases
For example, UID and CMMS integration enables companies to quickly track assets anywhere in the organization. In addition, CMMS systems themselves have a UID, making them part of the larger identity solution.
UIDs vs. serial numbers, part numbers and asset tags
While UIDs may look similar to serial numbers, parts numbers and asset tags, they serve a different operational purpose. Serial and part numbers often identify models or batches, while UIDs uniquely identify a single asset across systems, locations and its entire lifecycle.
For example, serial numbers may be reused or duplicated across systems, while part numbers are typically used to identify a general type, not individual assets. Finally, asset tags may lack consistency or governance across teams and locations, rendering them ineffective for lifecycle tracking and asset management.
UIDs, meanwhile, serve as a master reference that links assets across all data sources, software, reports and action items.
How UIDs support maintenance and reliability
UIDs offer multiple benefits for maintenance and reliability operations, including:
- More accurate tracking of maintenance histories: Unique identifiers allow maintenance teams to track asset-specific failures, repairs and reports.
- Improved failure analysis and root cause investigations: Using UIDs lets teams connect the dots on failure analysis and root cause failure analysis (RCFA). Technicians can track interactions by asset, helping them pinpoint weak links. For example, if machine 1277345 fails when connected to system 64532-A but not 64532-B, teams can take targeted action.
- Clearer links between assets, work orders and spare parts: Asset, work orders and spare parts management can lead to confusion without proper identification. UIDs connect MRO data with maintenance work orders and specific assets to create a chain of ownership and action.
- Enhanced preventive and predictive maintenance planning: Per-asset tracking enables customized preventive and predictive maintenance schedules that address specific issues rather than general concerns.
UID’s role in asset lifecycle management
Unique identifiers also improve lifecycle visibility, tracking and management.
For example, UIDs let manufacturers track assets from installation to retirement and determine their total cost of ownership (TCO). This data helps inform repair vs. replace decisions; if assets have performed consistently over time, it may be worth spending on repairs. If UID tracking reveals increasing mean time to repair (MTTR) and falling mean time between failure (MTBF), replacement may be more cost-effective.
Tracking assets with UIDs enables more accurate capital planning by tying performance history, failure trends and total cost of ownership to individual machines. If businesses purchased 10 pieces of production line equipment five years ago and three have already failed, tracking the remaining seven helps estimate remaining useful life (RUL) and ensure funding is available for replacements.
Finally, UIDs drive clear ownership and accountability. Teams can be assigned machines, systems or software on a per-identifier basis, reducing the risk of redundant efforts and providing staff with a clear mandate to track, monitor and manage these assets.
The impact of UID on data quality and decision-making
Data drives better decision-making, but according to research from Salesforce, just 40% of business leaders are confident in their data’s reliability.
This is especially problematic for manufacturing firms. If machine data collection isn’t reliable, teams may miss key signs of failure, leading to unplanned downtime, or take actions that aren’t necessary, leading to increased costs.
Implementing a UID strategy increases data confidence by eliminating duplicate or conflicting asset records. This improves trust in maintenance and performance data because all failure alerts, operational documentation and technician reports are connected to a single identifier. Teams can design preventive and proactive maintenance plans that address per-asset issues, rather than trying to create one-size-fits-all strategies.
At scale, UID supports data-driven operational decisions. Consider a company undergoing market growth and looking to ramp up production volumes. Initial evaluations show that current assets are working at 75% capacity, meaning there’s room to scale up and boost overall output. Using UID data, however, teams conduct a deeper analysis and discover that failure rates have been steadily increasing over the past six months, and these rates are tied to increased workloads.
Equipped with this data, the company pivots and purchases three new machines to help handle increased workloads, while simultaneously carrying out RCFA on current assets to pinpoint underlying causes.
UID and digital transformation in manufacturing
Digital transformation in manufacturing focuses primarily on connected operations, ensuring that equipment, sensors and systems are interconnected and interoperable. This connection drives the creation of “smart factories” capable of automating key processes, reducing unplanned downtime and discovering new ways to optimize day-to-day functions.
UID streamlines the process of digital transformation in four ways:
- Enabling integration across CMMS, ERP and IIoT platforms
- Supporting sensor data and condition monitoring
- Improving visibility across sites and systems
- Creating a single source of truth for asset data
Best practices for implementing UIDs in manufacturing
Effective UID implementation depends on strategy. Taking a piecemeal approach to identification can create gaps and overlaps that waste time and money, while strategic efforts enable visibility, consistency and value.
Here are five best practices to help deliver on UID potential.
1. Establish clear UID standards and governance: Start with a clear definition of how UIDs will be created, where they will be assigned and how they will be tracked. Laying this governance groundwork reduces the risk of missed or improperly labeled assets.
2. Clean and rationalize existing asset data: If UIDs are added to asset data sources that are bloated and inconsistent, their value may be lost. To avoid this issue, start by cleaning and rationalizing data. Cleaning involves the removal of redundancies and inaccuracies, while rationalizing focuses on organizing and optimizing data sets to enhance accessibility.
3. Align UID structure across systems: Next, ensure you’re using the same UID structure across all systems. This means creating and following a single ID convention, and applying it to every connected asset, from equipment to sensors to controllers to software.
4. Train teams on consistent usage: Educate rather than assume. Meet with technicians, operators and managers to discuss the new system, field any questions and provide clear policies for use. This sets the stage for creating clear UID constructs and ensuring UID compliance.
5. Start with critical assets, then scale: Attempting to roll out UIDs across all assets simultaneously is a recipe for disaster. Here, even small errors can lead to big problems that undercut the efficacy of unique identifiers. Instead, start with critical assets, track them for 4-6 months and then start scaling up.
Why UIDs are foundational to reliable manufacturing operations
UIDs go beyond labeling to create permanent designators for manufacturing assets that remain consistent across their entire lifecycle.
From a production standpoint, UIDs enable visibility and reliability. Leveraging UIDs for maintenance, meanwhile, improves both effectiveness and cost control, allowing teams to address root causes and limit the risk of unplanned downtime.
Finally, UIDs set the stage for Manufacturing and Industry 4.0 by creating a single source of asset truth that can be used to analyze operations, detect trends and suggest targeted solutions.
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References
Salesforce. (2025, April 15). Trust in business data leaders survey. https://www.salesforce.com/news/stories/trust-in-business-data-leaders-survey/
