From Reactive to Resilient: Building Smart Supply Chains Through IoT-Driven Predictive Maintenance

ASQ Quality Management Division Presents

The Webinar “From Reactive to Resilient: Building Smart Supply Chains Through IoT-Driven Predictive Maintenance” by Ramachandra Handaragal on 16^th Sept,2026 at time CT/ time ET

You must register for this event. Follow this link to register:

CLICK HERE TO ATTEND!

In this informative 60-minute webinar, you will learn:

• The evolution of maintenance strategies — from reactive "fix it when it breaks" and preventive scheduled check-ups to predictive maintenance using real-time IoT sensor data, ML, and AI to anticipate failures before they occur
• How unplanned asset downtime silently erodes On-Time Delivery (OTD), creates financial ripple effects, and damages brand loyalty — and how IoT-driven PdM eliminates these risks at the root
• How IoT sensor networks (vibration, temperature, acoustics, pressure, motor current) combined with edge computing, cloud analytics, and the 3 V's of IoT data create a comprehensive digital twin of physical assets
• A practical architecture walkthrough: from IoT sensors → gateway → data lake → ML models → predictive analytics engine → Oracle eAM automated work order generation — with a real-world conveyor belt failure scenario
• How Data-Driven Innovation (DDI) translates to competitive advantage through improved asset longevity, operational reliability, customer retention, and supply chain agility
• Critical deployment considerations: secure data infrastructure, IT/OT cybersecurity convergence, Explainable AI (XAI), ethical AI governance, and the human change management required for successful adoption

This webinar is for you if you are:

·      Quality Manager, Director, or VP responsible for supply chain reliability and operational continuity

·      Supply Chain or Operations Leader evaluating IoT, AI, and predictive analytics investments for manufacturing or logistics environments

·      Plant Maintenance or Asset Management professional seeking to move from scheduled PM programs to real-time predictive models

·      Digital Transformation or Industry 4.0 strategist driving technology adoption in aerospace, manufacturing, utilities, energy, or retail

·      ASQ member or quality practitioner building expertise in AI-enabled quality systems and data-driven continuous improvement

Do not miss this talk by Ramachandra Handaragal

Ramachandra Handaragal is Senior Manager II at the AI Center of Excellence- Supply Chain Management, Peloton Consulting Group; Chair, IEEE IEC Societies & Councils Working Group | Oracle ACE Associate and IEEE Senior Member. Ramachandra is a Digital Transformation leader specialized in global supply chain with 19+ years of experience implementing top-tier ERP and AI solutions. His global footprint spans North America, Europe, and MEA across Aerospace & Defense, Manufacturing, Hi-Tech, Energy & Utilities, and Retail. Ramachandra architected a $40M+ IoT Predictive Maintenance solution commercialized through Oracle's Cloud IoT Application Suite, and now leads the AI initiative designing agentic AI systems for enterprise supply chains at Peloton Consulting Group's AI Center of Excellence. He has authored 14+ peer-reviewed publications