Smart Systems Driving Auto Quality And Compliance
The article covers AI's impact on automotive quality, supplier adaptation to new standards, the importance of EV component traceability, leading tech providers, and strategies for competitive quality management.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I have worked in systems installation and quality assurance for more than 18 years, concentrating on the automotive manufacturing sector. My background includes working with leading organizations like Tenneco, Fitwel Gasket, and Exide Industries, where I led QMS implementation, internal and supplier audits, and process improvement initiatives aligned with standards like IATF 16949, ISO 9001, 14001, and 45001.
I’m a certified Lead Auditor for ISO and VDA standards, with hands-on expertise in conducting audits, gap assessments, and training on core tools, customer-specific requirements, and lean practices. Currently, I work as a freelance auditor and consultant, helping companies strengthen their systems, ensure compliance, and drive continuous improvement.
Making proactive, system-driven cultures that promote long-term performance and customer happiness out of reactive quality techniques is my strong suit.
Q2. How is the adoption of AI-powered visual inspection and predictive analytics reshaping quality assurance practices in automotive manufacturing? What impact does this have on operational efficiency, defect rates, and cost reduction?
AI-powered visual inspection and predictive analytics are bringing big changes to quality assurance in the automotive industry. Earlier, inspections were…
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