What is autonomous maintenance?
Autonomous maintenance is a type of maintenance that enables machine operators (rather than maintenance staff) to perform routine maintenance tasks, such as cleaning, inspection and simple repairs, to improve equipment reliability.
It is a core pillar of total productive maintenance (TPM), a proactive maintenance approach that shifts some equipment maintenance responsibilities from maintenance personnel to machine operators.
Organizations use autonomous maintenance to improve operational efficiency, reduce downtime and prevent equipment failures and unexpected breakdowns.
Autonomous maintenance programs are guided by the principles of process improvement and operational excellence, concepts that help shape how physical assets perform over time.
Organizations that implement autonomous maintenance enable maintenance teams to focus on more complex, high-value maintenance work while machine operators handle routine upkeep.
Like other maintenance approaches, autonomous maintenance has been transformed by the rise of automation, artificial intelligence (AI) and the Internet of Things (IoT). Modern autonomous maintenance programs incorporate digital tools like computerized maintenance management systems (CMMS) that track maintenance activities, automatically generate work orders and capture real-time maintenance data.
Join over 100,000 subscribers who read the latest news in tech
Stay up to date on the most important—and intriguing—industry trends on AI, automation, data and beyond with the Think Newsletter, delivered twice weekly. See the IBM Privacy Statement.
In autonomous maintenance programs, machine operators are trained to perform basic repairs and share responsibility for overall asset health. This approach enables highly trained maintenance technicians to focus more of their time on higher-value tasks closely associated with core business functions, rather than on routine machine upkeep.
Autonomous maintenance programs rely on operator knowledge and visual maintenance methods to detect subtle changes in machine performance and prevent breakdowns. By empowering operators to make decisions and perform repairs, autonomous maintenance programs help detect potential issues sooner than other approaches—often before they lead to equipment deterioration and downtime.
Autonomous maintenance programs typically follow a seven-step process.
1. Perform initial cleaning
The first step in an autonomous maintenance workflow is the initial cleaning of a piece of equipment.
In this step, operators thoroughly clean a piece of equipment and carefully remove any dirt or other contaminants that could mask underlying issues.
Initial cleaning helps operators detect abnormalities in machines like leaks, misaligned parts or loose components, but it also serves another purpose—it provides machine operators with hands-on experience repairing their own equipment. Over time, performing this step repeatedly increases operator knowledge and leads to a deeper understanding of how a piece of equipment functions.
2. Eliminate contamination
Once the equipment is clean, machine operators are ready to identify and remove any contaminants like dirt, dust, grease and excess lubrication that have collected over time.
These contaminants can cause equipment deterioration, restrict performance and shorten asset lifecycles. This step also includes the sealing off of entry points for common contaminants like dust, silica and metal particles and potentially, the redesigning of components to reduce the wear-and-tear.
By addressing the root causes of equipment deterioration rather than treating each individual symptom, autonomous maintenance workflows help reduce the frequency of breakdowns and extend asset lifespans.
3. Establish an SOP
Standardization of procedures (SOP) is a critical part of establishing a strong autonomous maintenance program.
In this step, organizations develop SOPs that clearly define basic maintenance tasks like inspection, parts lubrication and cleaning in language that is clear and precise.
Visual maintenance is critical during this step, with visual cues like labels, checklists and diagrams playing an important role in helping operators quickly identify maintenance points and parts on a machine. Visual maintenance approaches help reduce reliance on memory and ensure that procedures are consistently applied across multiple worker shifts.
4. Establish training
Establishing a rigorous training program to empower machine operators is key to the success of any autonomous maintenance program.
Proper training equips operators with the skills and knowledge to perform a wide range of preventive maintenance tasks, recognize abnormalities and respond to them.
Autonomous maintenance training typically includes these areas:
- Mechanical and electrical knowledge of relevant machines
- Machine lubrication techniques
- How to properly inspect equipment
- Safety protocols
- Best practices for logging maintenance activities
5. Perform routine tasks
With training and standards in place, operators can begin to perform the basic duties of maintaining equipment and conducting regular inspections for degradation and contamination.
Step five covers the correct procedures for performing core maintenance activities, including:
- Cleaning and lubricating parts
- Checking for abnormal sounds, vibrations or temperature readings
- Inspecting equipment for leaks, wear-and-tear and contamination
- Tightening bolts and fittings
- Monitoring asset performance metrics
6. Integrate with a CMMS
Most modern autonomous maintenance programs rely on a computerized maintenance management system (CMMS), software that automates maintenance operations, documents activity and helps improve workflows.
These advanced systems must be properly integrated into existing systems and practices to be effective.
When operators are properly trained, they can use CMMS tools to log maintenance data, generate work orders, assign technicians and track equipment performance in real time. A fully integrated CMMS ensures that maintenance teams have full visibility across frontline business operations and can prioritize maintenance work accordingly.
7. Strive for continuous improvement and optimization
Once an autonomous maintenance program is up and running, stakeholders must continue to assess and adjust it as needed over time, a process known as continuous improvement and optimization.
Autonomous maintenance isn’t static, and to be effective, organizations must constantly refine processes based on maintenance data, operator feedback and performance metrics.
Ongoing continuous improvement initiatives focus on a few important things:
- Streamlining workflows
- Reducing equipment downtime
- Improving the accuracy of inspections
- Enhancing training
- Optimizing overall maintenance strategies
When practiced correctly, autonomous maintenance programs have many benefits. Here’s a look at some of the most common:
- Reduced downtime: One of the most immediate benefits of autonomous maintenance is a reduction in asset downtime. Autonomous maintenance procedures help teams identify and address abnormalities in machine performance before they result in a breakdown. Also, the shift from a reactive to a proactive maintenance stance helps minimize disruptions and ensure a consistent production output across core business operations.
- Better OEE: Autonomous maintenance helps improve several critical overall equipment effectiveness (OEE) metrics (such as availability, performance and quality) that maintenance teams are often graded on. Regular inspections, proper lubrication and timely interventions—key outputs of a properly managed autonomous maintenance program—help improve operating conditions. As a result, organizations practicing autonomous maintenance can achieve higher throughput, better product quality and reduced waste.
- Deeper operator engagement: Empowering machine operators to take responsibility for their equipment fosters a sense of ownership and accountability that improves operating conditions and extends asset lifecycles. Machine operators following an autonomous maintenance program are more invested in equipment performance and more attentive to potential issues that could impact it. This cultural shift improves collaboration between frontline staff and maintenance teams, leading to better overall maintenance management.
- Increased efficiency: Autonomous maintenance programs assign routine maintenance tasks to operators, enabling maintenance technicians to focus on more complex repairs and root cause analysis. This reprioritization of maintenance tasks helps improve the efficiency of maintenance departments and can lead to significant cost reductions.
- Smarter decision-making: Autonomous maintenance programs collect valuable maintenance data at its source—the equipment itself. Machine operators who interact with their assets daily are in a strong position to provide real-time insights into conditions, wear-and-tear and common maintenance issues. And, when properly integrated into a CMMS, these insights support predictive analytics and other characteristics of modern, advanced maintenance strategies that help improve decision-making.
- Longer asset lifespans: By keeping assets healthy for longer, autonomous maintenance programs significantly extend asset lifespans and increase their overall value to organizations. By empowering machine operators to perform regular upkeep instead of relying on maintenance technicians, autonomous maintenance programs reduce equipment deterioration and extend the useful lives of assets. This approach helps reduce overall capital expenditure (CapEx) and improve return on investment (ROI) for expensive equipment.
Here’s a look at how five industries deploy autonomous maintenance procedures to improve core maintenance and business operations.
The manufacturing industry relies on autonomous maintenance practices primarily to increase overall equipment effectiveness (OEE) and minimize equipment downtime.
Machine operators regularly inspect manufacturing equipment using visual cues to ensure that the equipment is clean and running properly. In the electronics and automotive manufacturing sectors, autonomous maintenance helps reduce common contaminants like dust, debris and fluids from collecting over time and degrading product quality.
When practiced effectively, autonomous maintenance procedures in manufacturing help organizations extend asset lifecycles, improve product quality and achieve more consistent production schedules.
In the oil and gas sector, autonomous maintenance practices help ensure asset integrity and prevent high-cost, high-risk equipment failures.
Machine operators in refineries, for example, regularly monitor pumps, compressors and turbines using autonomous maintenance procedures to detect unusual vibrations and heat irregularities that could lead to breakdowns. Primarily, autonomous maintenance for oil and gas helps reduce the risk of catastrophic equipment failures that can cause fires and oil spills.
Modern CMMS tools also play a role in autonomous maintenance for oil and gas. These tools help gather and analyze real-time data to monitor compliance in a heavily regulated industry where violations carry steep fines.
Like oil and gas, the pharmaceuticals industry primarily relies on autonomous maintenance procedures to ensure compliance, but it also uses it to improve product quality and increase consistency across complex processes.
For example, machine operators in pharmaceutical facilities regularly inspect and clean equipment using visual maintenance procedures, freeing up maintenance technicians for more advanced tasks.
In the pharmaceuticals industry, autonomous maintenance tasks are deeply integrated with SOPs and audit trails, providing organizations with extensive maintenance records for auditing purposes.
In the food and beverage industry, autonomous maintenance practices help balance high throughput with strict hygiene and safety requirements.
Machine operators perform frequent cleanings and inspections of food and drink preparation equipment to prevent contamination. Food packaging factories use autonomous maintenance programs as well, leveraging high-speed packaging equipment to prevent downtime.
In an industry that is highly focused on detecting contamination, autonomous maintenance tasks help find and repair wear-and-tear that can introduce contaminants into food products, triggering expensive and potentially dangerous recalls.
In the transportation industry, autonomous maintenance procedures help ensure fleet reliability and safety and improve vehicle performance.
Machine operators trained in autonomous maintenance tasks perform routine upkeep that helps prevent breakdowns. CMMS tools log maintenance data, enabling real-time condition monitoring.
Autonomous maintenance for transportation helps detect faults earlier than usual, reducing service disruptions and lowering overall operation costs for large, complex vehicle fleets.
