Total Productive Maintenance (TPM) transforms maintenance from a department function to a company-wide commitment to equipment effectiveness. Developed in Japan and now implemented at leading US manufacturers, TPM aims for zero breakdowns, zero defects, and zero accidents through operator involvement and continuous improvement. AI scheduling enhances TPM by optimizing autonomous maintenance schedules, tracking OEE improvements, and coordinating planned maintenance windows.
TPM Eight Pillars
- Autonomous Maintenance: Operators care for their equipment
- Planned Maintenance: Scheduled preventive activities
- Quality Maintenance: Eliminate defect causes
- Focused Improvement: Target major losses
- Early Equipment Management: Design for maintainability
- Training: Develop operator skills
- Safety: Zero accidents goal
- Office TPM: Administrative efficiency
AI Enhancement
AI scheduling supports TPM by automating autonomous maintenance checklists, optimizing planned maintenance timing, and providing real-time OEE tracking to measure improvement progress.
Implementation Steps
- Management commitment and goal setting
- Pilot area selection and training
- Initial cleaning and tagging
- Root cause elimination
- Standard development and sustainment
85%+OEE target achievable with mature TPM implementation
TPM Results
- Availability: Reduced unplanned downtime
- Performance: Improved equipment speed
- Quality: Fewer defects from equipment
- Safety: Reduced equipment-related incidents
Implement TPM at Your Facility
See how AI scheduling can accelerate your TPM journey.
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