ETQ Resources

A Q1 2025 survey of 750 global quality professionals revealed some alarming insights about the gap between perceived and actual quality in manufacturing, including: 70% of manufacturers report that labor shortages are affecting their company; 48% say safety incidents have increased over the past five years. Find out what your peers are thinking and doing about labor shortages, safety events, recalls, supplier quality, the advent of AI and more in this current market survey.

Join Chris Mix, QA Compliance Manager and Christina Williams, Corporate- Compliance Specialist at Argon Medical, a medical device manufacturer for interventional procedures, as they share real-world insights for how they leverage an eQMS to improve efficiencies and save costs.

Learn from the pros at Streck who went from “the purple folder of changes” to “quality is everyone’s responsibility”.

Learn how Lixil changed the conversation around quality to identify poor quality, resulting in warranty claims and the impact across their organization and their quality journey when they chose and implemented an eQMS to automate the reduction of warranty costs.

Join Noe Rivera, Director of Quality Systems at Siemens Healthineers for real-world insights gained when guiding their organization along the quality journey.

Learn how PPG built a compelling business case for quality initiatives by focusing on automation, simplifying complexity and standardizing processes across 100 manufacturing sites.

ETQ Reliance® Connected Worker equips your organization with essential tools to integrate quality at every level. This includes work instructions designed to ensure that each worker builds products correctly from the start. Additionally, it features effective issue handling mechanisms that target and eliminate your ‘hidden factory’, thus reducing inefficiencies and friction across the entire value chain.

This insightful webinar is tailored toward quality leaders seeking to position the impact of quality across the organization. In this webinar, you’ll learn strategies to effectively communicate the value of quality initiatives to key stakeholders, how to present compelling business cases that highlight the return on investment (ROI) and more.

Technological advancements in the manufacturing industry have made it possible to identify and rectify errors early in the production process, long before the products reach customers. Real-time error correction uses advanced data collection and analytics and frontline factory workers’ active participation to correct errors in real-time.

Industry 4.0, also known as the fourth industrial revolution, is characterized by increased automation, advanced analytics, cutting-edge robotics, and devices connected through the Internet of Things (IoT).

During their day-to-day work, frontline factory workers handle a variety of complex workflows. These multi-step tasks often require extreme precision and attention to detail to meet quality standards. Still, frontline work is also fast-paced and driven by a sense of urgency to meet business goals and bring products to market as quickly as possible.

Increasingly, organizations provide frontline workers with digital tools designed to help them perform their roles. These tools empower workers with real-time information to improve their communication, productivity, and safety while working on the plant floor. Frontline workers who use digital tools to help them perform their roles at work are known as “connected frontline workers.”

Predictive quality analytics refers to the process of collecting and analyzing data to predict future outcomes based on past patterns and trends. Digital transformation is the hallmark of Industry 4.0, and leveraging predictive quality analytics has become a critical component of quality management in manufacturing. It is also a key way for manufacturers to gain and maintain a competitive edge.

Quality management in manufacturing has changed significantly over the past few decades. As a result, today many manufacturers are using AI and machine learning to address long-standing quality issues.

AI and machine learning innovations are reshaping the quality management approach in manufacturing. Quality management in manufacturing is evolving from a reactive process to a proactive one, and you can use these technologies to embed quality throughout the manufacturing value chain, drive continuous improvement and optimize quality in your organization.

In this webinar, you will learn how to ensure all your suppliers understand your specs and requirements and have fewer SCARs, avoid downtime, which can cost on average $260,000 per hour and more.

In this expert webinar, you will learn how quality is a source of competitive advantage, what components make up a comprehensive digital quality strategy and more.

In this webinar, you will learn how to simplify the eQMS landscape – tackle the challenges you encounter when selecting the ideal eQMS for your organization, take your initial step – use ISO 9001 as a roadmap for a process-oriented approach to quality management and more.