Omnex Systems introduces the world’s first AI-powered PPAP Reviewer, revolutionizing Production Part Approval Process (PPAP) reviews. By leveraging AI, machine learning, and deep learning, we eliminate inefficiencies, enabling faster, smarter, and more accurate quality management.
Join Antony John and Medhat Habashi as they demonstrate how this groundbreaking tool transforms manual PPAP reviews into an automated, data-driven process—detecting errors, ensuring consistency, and generating actionable insights.
Key Challenges in Traditional PPAP Reviews
- Time-Consuming: Manual PPAP reviews demand significant effort, often requiring over 20 full-time personnel annually for tier-one organizations.
- Limited Insights: Treating PPAPs as documents rather than data sources restricts analytics and decision-making.
- Industry Shifts: Autonomous vehicles, hybrid systems, and a tech-savvy workforce necessitate innovation.
- Siloed Workflows: Lack of digital integration creates inefficiencies across APQP and PPAP tracking.
Omnex O-BOT Advantage
AI-Driven PPAP Reviews:
- Internal & Supplier Reviews: Validate and streamline PPAP submissions.
- Automated Reports: 300+ pre-loaded rules ensure consistency and accuracy.
- Real-Time Detection: Instantly identifies inconsistencies and missing information.
- Customizable Rules: Adapt to unique processes and evolving standards.
Benefits of AI in PPAP Reviews
- Faster Reviews: Minutes instead of hours.
- Enhanced Accuracy: Reduce errors through automation.
- Cost Savings: Cut review costs and prevent failures.
- Data-Driven Insights: Transform PPAPs into a powerful analytics tool.
- Comprehensive Coverage: Move beyond sampling for 100% accuracy.
Our AI continuously evolves, adapting to new standards and leveraging historical data for better predictions—keeping your quality processes ahead of the curve.
Speakers
Medhat Habashi is an Omnex consultant. He has over 30 years of experience in Manufacturing Engineering, Quality Management, Supplier Quality/auditing, Continuous Improvement, Root Cause & Corrective Action (RCCA) with an extensive hands on experience in product quality, supplier auditing, testing and product/supplier improvement.
In his work in Quality Management, Medhat is an established Quality Director/Manager lead. He has developed and implemented quality systems for a wide range of companies in the Automotive and Aerospace industries, including OEMs, their suppliers and chemical processing companies. Medhat has improved product quality through the use of proactive Quality techniques such as PPAP tools, RCCA, FMEA, Global 8-D, 5-Phase, RCCA deep & wide implementation, and use of 5-why's.
Antony John is the Vice President of Omnex Systems. He has 19 years of experience transforming technology businesses across global markets and different customer industry segments, for profitable growth. Antony also possesses strong experience working in the Information Technology, Automotive, Aerospace, Oil & Natural Gas, and Insurance industries. He currently leads the Product Development of EwQIMS, a revolutionary software solution for managing Enterprise Quality for APQP, Integrated Management Systems / QHSE, and Supplier Quality used by Fortune 500 companies, OEMs, top automotive manufacturers, and large semi-conductor organizations across the globe.