ASQ Journal
Driving the next generation of organizational theory
The Moment Reliability Became a National Mission
Pune has always been more than just a city. It is a hub of ideas, a cauldron of engineering discipline and youthful curiosity. For decades, this city has quietly shaped the manufacturing backbone of our nation — which is why it came as no surprise that it was chosen to host the inaugural International Conference on Reliability Excellence on September 25th and 26th, 2025.
If there was ever a city that captured India’s engineering spirit, this is it — and on those two days, Sheraton Pune became the stage for a question that the nation had never addressed collectively before.
- Conference Highlights
Leadership Keynotes:
Mr. R. Petkar (President & CTO, Tata Motors & Chair – ICRE Advisory Committee), Mr. Sid Bhatnagar (CEO, ASQ Global), Mr. C. V. Raman (Executive Committee Member, Maruti Suzuki & Chair – ICRE Technical Committee).
Over 100 technical papers and case studies from leading organizations showcasing reliability practices and innovations.
Strategic Leadership Panels on:
• Reliability Culture & Leadership
• Reliability Lessons Learnt
• Economics of Reliability
• Reliability in Emerging Technologies (AI, IoT, Big Data, Autonomous Systems)
• Software Reliability & Testing
Recognition of best application-based case studies, creating a national repository of learning.
Conference Proceedings - Selected Papers
Python Based Automation to Calculate Part Level to System Level Reliability
Database, Data frames, Optimization, Reliability Targets, Python, Series and Parallel Systems, Weibayes, Weibull
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ICRE 2025
Quantification of Human Perception in Detecting Wobble in Ceiling Fans
Vision based detection, LabVIEW, Image processing, Python Dataframe, Outliers, Normalization, Gauge R&R, Agreement Assessment, X-Y Motion plot, Deviation, Correlation, Interval plots, CMM measurement, 3D Scanning
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ICRE 2025
Asset Fault Prediction through Machine Learning Models
Asset Fault Prediction, Machine Learning, Thermal Power Plants, Electro-hydraulic governing (EHG)Data-driven models, Industry 4.0, Artificial Intelligence (AI)
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ICRE 2025