Autonomous Maintenance (AM)

Autonomous Maintenance
Autonomous Maintenance Support
Helping businesses implement Autonomous Maintenance

Support with Autonomous Maintenance
Autonomous Maintenance Guidance

Empowering operators to take an active role in equipment maintenance is a key pillar of Total Productive Maintenance (TPM). Autonomous Maintenance (AM) shifts routine maintenance tasks from technicians to operators, enabling a proactive, efficient, and collaborative approach to asset care whilst enriching the technicians job.

At MCP Consulting Group, we provide tailored consultancy services to help businesses implement and sustain Autonomous Maintenance programmes, enhancing reliability, reducing downtime, and fostering a culture of continuous improvement.

TPM, AM and OAC SUB-CATEGORIES

Maintenance Plans Sub Categories
TPM Support Background
What is Autonomous Maintenance

What is

Autonomous Maintenance

Autonomous Maintenance (AM) is a structured operator-driven maintenance approach where frontline staff take responsibility for basic equipment upkeep, such as cleaning, lubrication, and visual inspections. This strategy helps to identify and prevent early-stage failures, ensuring that equipment remains in peak condition and reducing the reliance on reactive maintenance.

By integrating Autonomous Maintenance into daily operations, businesses can increase asset uptime, enhance workforce engagement, and improve overall productivity. At MCP, we support organisations in developing AM frameworks, training employees, and embedding best practices into their maintenance culture.

Key Objectives of

Autonomous Maintenance

Key Objectives of Total Productive Maintenance (TPM)
Objectives of Total Productive Maintenance (TPM)

Enable operators to identify and resolve minor issues before they escalate into failures.

Increasing Equipment Reliability

1

Increasing Equipment Reliability

Reducing Downtime and Maintenance Costs

2

Minimise unplanned stoppages and emergency repairs through proactive operator-led maintenance.

Reducing Downtime and Maintenance Costs

Empowering Operators with Maintenance Responsibilities

3

Empowering Operators with Maintenance Responsibilities

Provide structured training and guidelines to help operators take ownership of routine maintenance tasks.

Driving Continuous Improvement

Improve communication between operators and maintenance personnel for faster issue resolution and greater efficiency.

Enhancing Collaboration Between Teams

4

Enhancing Collaboration Between Teams

5

Establish a culture of ongoing performance monitoring and process optimisation.

Driving Continuous Improvement
The 7 Steps of Autonomous Maintenance

The

7 Steps of AM

Initial Cleaning – Operators perform thorough cleaning and inspections to identify potential failure points.

Vertical line with circular markers in a symmetrical pattern.

1

Eliminating Sources of Contamination – Reduce wear and tear by removing dirt, dust, and contaminants that affect machine performance.

2

Setting Standards for Cleaning & Lubrication – Define structured cleaning, lubrication, and inspection schedules.

3

General Inspections – Train operators to detect minor defects and early warning signs of failure.

4

Autonomous Inspection – Operators perform basic equipment inspections, reducing the workload on maintenance teams.

5

Standardisation – Establish repeatable maintenance routines to sustain Autonomous Maintenance practices.

A simple two-dimensional blue illustration on a black background.

6

Sustained Autonomous Maintenance – Integrate AM into daily operations, monitoring performance and driving continuous improvement.

7

MCP Approach to

Autonomous Maintenance

Evaluates current maintenance processes
Assessing Readiness and AM Implementation Strategy

Assessing Readiness and AM Implementation Strategy

MCP evaluates current maintenance processes, workforce skills, and organisational culture to determine AM readiness and implementation plans.

Defining clear roles
Developing a Customised AM Framework

Developing a Customised AM Framework

We define AM objectives, structured workflows, and key performance indicators (KPIs) to align with business goals.

On-the-job training
Training and Operator Engagement

Training and Operator Engagement

Our consultants provide on-the-job training and coaching to equip operators with the skills and knowledge required to sustain AM initiatives.

Define AM objectives
Establishing AM Workflows and Responsibilities

Establishing AM Workflows and Responsibilities

We assist organisations in defining clear roles, maintenance tasks, and accountability structures to ensure seamless AM execution.

Ongoing AM reviews
Continuous Improvement and Performance Monitoring

Continuous Improvement and Performance Monitoring

MCP supports ongoing AM reviews, KPI tracking, and refinement of Autonomous Maintenance processes for long-term success.

TPM, AM and OAC Discover More

TPM, AM and OAC

Explore More

Speak to Us About Autonomous Maintenance

Speak to One of Our

Experienced Consultants

If you have any questions or would like to learn more about how MCP can support your organisation with Autonomous Maintenance, please get in touch with us.

Our team of consultants is ready to provide tailored solutions to optimise maintenance strategies, empower operators, and improve equipment reliability. Contact us today to discuss your specific requirements.

FAQs

  • AM increases equipment uptime, reduces failures, enhances operator skills, and fosters a culture of continuous improvement.

  • No, AM complements planned maintenance strategies by focusing on operator-driven tasks while technicians handle more complex/skilled  maintenance activities.

  • The timeframe varies based on business size, workforce readiness, and existing maintenance culture, but implementation typically takes several months.

  • Manufacturing, food processing, energy, automotive, and pharmaceutical industries benefit significantly from AM due to high equipment utilisation demands.

  • By reducing minor stoppages, improving asset condition, and preventing early-stage failures, AM enhances OEE and production efficiency.