About the Course
Organizations invest in TPM when they need results they can prove on the shop floor: fewer breakdowns, shorter changeovers, stronger basic conditions, and better OEE. That means you must demonstrate skills in OEE calculation, loss analysis, Autonomous Maintenance, Planned Maintenance, center lining, and root cause failure analysis, all within a disciplined improvement system grounded in the TPM pillars and the logic of equipment reliability. This course gives you a practical way to show that you can reduce chronic losses and stabilize production under real maintenance constraints.
The course turns scattered maintenance knowledge into a structured TPM system you can apply in plants, process lines, and asset-intensive operations. You will develop capabilities in OEE loss mapping, 5S for equipment care, visual management standards, RCFA, PM optimization, condition-based maintenance planning, digital inspection workflows, and TPM deployment planning. In practical terms, you will learn how to assess current equipment loss patterns, build autonomous maintenance routines, design maintenance plans, and create a rollout roadmap that operations and maintenance can both use. You will practice these methods through workshops and applied exercises, while areas such as predictive maintenance analytics and digital CMMS workflows will be introduced at an operational level rather than treated as full engineering implementation.
TPM also has to work under budget pressure, aging assets, limited technician capacity, and competing production targets. This course is designed for professionals who must improve reliability without disrupting throughput, and it shows you how to prioritize high-impact equipment, standardize inspection routines, and report progress with credible maintenance metrics and improvement actions.
Target Audience
This course is designed for professionals who influence equipment reliability, maintenance execution, and production continuity in asset-intensive operations.
- Maintenance Managers responsible for TPM deployment and maintenance loss reduction.
- Reliability Engineers analyzing OEE losses and chronic equipment failure patterns.
- Production Supervisors coordinating Autonomous Maintenance on the shop floor.
- Plant Engineers improving maintainability, center lining, and basic equipment conditions.
- Operations Managers balancing throughput, downtime, and maintenance priorities.
- Condition Monitoring Specialists using vibration and inspection data for early fault detection.
- Maintenance Planners and Schedulers optimizing PM work orders and shutdown windows.
- Quality Engineers linking equipment performance to defect reduction and process stability.
- Continuous Improvement Leaders embedding TPM pillars into improvement routines.
- Asset Integrity Coordinators tracking maintenance actions, standards, and escalation logs.
Course Objectives
This course equips you to plan, execute, and measure Total Productive Maintenance initiatives that improve OEE, strengthen compliance with maintenance standards, and support sustainable reliability gains.
- Assess current equipment losses using OEE, Pareto analysis, and TPM pillar diagnostics.
- Apply Autonomous Maintenance practices to standardize cleaning, inspection, lubrication, and tagging routines.
- Design a Planned Maintenance strategy using CMMS work orders, PM intervals, and criticality ranking.
- Build an operator-driven visual management system with center lining, tags, and inspection checklists.
- Evaluate maintenance performance against MTBF, MTTR, OEE, and RCFA findings.
- Navigate cross-functional TPM requirements across operations, maintenance, quality, and safety workflows.
- Implement digital inspection and maintenance data workflows to track recurring failure patterns.
- Synthesize TPM findings into a deployment roadmap, dashboard, and executive reporting pack.
Requirements & Prerequisites
Participants should have experience in manufacturing, utilities, process operations, or asset-intensive environments, along with a working knowledge of equipment performance, maintenance routines, and production loss drivers. Familiarity with OEE, preventive maintenance, and basic root cause analysis will help you move faster, but the course is designed to build TPM capability from operational practice rather than advanced engineering theory. A laptop is recommended for working on templates, dashboards, and action plans. No coding is required. Advanced topics such as predictive maintenance analytics and digital CMMS workflows are covered at an operational level.
Local Application and Business Return in China
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn Total Productive Maintenance aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on OEE calculation using downtime, speed loss, and quality loss data.
- Scenario simulation for a breakdown-prone production line with limited maintenance windows.
- TPM audit using Autonomous Maintenance and 5S checklists.
- Stakeholder mapping for operations, maintenance, quality, and safety escalation paths.
- Case study analysis from automotive, food processing, pharmaceuticals, and utilities.
- Group workshop to build a TPM deployment roadmap under time and budget constraints.
- Reflection exercise using MTBF, MTTR, and OEE benchmarks to challenge current practice.
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Total Productive Maintenance (TPM) Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Effective Learning & Skill Development
- Build expertise with structured, outcome-driven learning.
- Equip individuals and teams with skills that grow with industry needs.
- Reinforce learning through real-world scenarios, case studies and practical exercises.
Career Growth & Professional Advancement
- Apply what you learn with a proven methodology that ensures lasting impact.
- Develop immediately usable skills that translate directly into workplace success.
- Gain the expertise needed for career advancement and leadership roles.
Training Optimization & Learning Excellence
- Tailor training to industry-specific challenges and organizational goals.
- Use data-driven insights and automation to enhance training effectiveness.
- Evaluate progress and ensure long-term learning success.
Tools and platforms relevant to this field
Examples China teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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SAP S/4HANA SAPUsed to connect maintenance planning, spare-parts control, and production processes in larger industrial organizations that want tighter asset-management workflows.
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IBM Maximo Application Suite IBMUsed for enterprise asset management, preventive work planning, and reliability tracking across plants with complex equipment portfolios.
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Microsoft Power BI MicrosoftUsed to build OEE and downtime dashboards so plant leaders can review losses, trends, and maintenance performance in a visual format.























