Total Productive Maintenance (TPM) is a structured approach to maximize equipment effectiveness by engaging the whole organization in maintaining and improving production systems. It goes beyond just fixing machines when they break — TPM combines preventive, predictive, and autonomous maintenance practices to reduce breakdowns, improve reliability, and empower operators.
At Auk Industries, we believe TPM starts with a strong foundation: accurate, reliable, and real-time data from your shop floor. That’s why we’ve developed our own TPM framework, which helps clients transition step-by-step from raw data collection to sustainable continuous improvement.
Many manufacturers want to move toward TPM, but the hardest part is often the foundation: reliable, structured data.
One of our clients recently shared how they are using our platform not just for day-to-day monitoring, but as the starting point to establish their TPM framework.
Like many factories, the team faced:
• Inconsistent maintenance records scattered in spreadsheets and logs
• Difficulty measuring true MTBF and MTTR
• Limited visibility into OEE losses and root causes
• A gap between daily firefighting and long-term improvement planning
By leveraging the historical data captured in our system, the client can now:
- 📊 Track equipment performance over time with automated OEE calculation
- 🕒 Analyze MTBF and MTTR directly from real-time maintenance and downtime records
- 🔍 Identify recurring breakdown patterns using accurate historical trends
- 📚 Standardize maintenance data collection across teams and shifts
- 🧩 Build a data-driven foundation for TPM pillars like Autonomous Maintenance and Planned Maintenance
