Generative AI for Root Cause Analysis and Operator Guidance: An Injection Molding Case Study

Decision Compass Call – Data Mastery, Governance, and Analytics

Abstract: Manufacturing operations generate enormous volumes of data across equipmentsoftware, SCADA, MES, EAM, and PLM systems. Yet, organizations are oftenconstrained by limited expert capacity to interpret this data and translate itinto effective action. Applied thoughtfully in the factory, generative AI canaccelerate operations by helping teams rapidly diagnose downtime and qualityissues while providing clear, guided responses.

In this session, Jabil and Arch Systems will share a case study in injectio nmolding where operators engage directly with an AI agent to identify root causes more quickly. The teams also leverage predictive maintenance and quality monitoring enhanced by generative AI to deliver actionable guidance that shortens response times and reduces training burden. The result is a practical demonstration of how AI can support operators and dramatically improve equipment effectiveness and overall uptime.

Speakers:

• Andrew Scheuermann, CEO and Co-Founder, Arch Systems
• Michal Wierzchowski, Vice President, Operations and DigitalTransformation, Jabil

Facilitator:

• Steven Moskowitz, Sr. Content Director, ManufacturingLeadership Council