Choosing the right tools and techniques is essential in manufacturing and quality control. This principle applies to language as well; our word choices influence responses. This was clear during a conversation at the ASQ Measurement Division event in Michigan this September.
Challenges can arise after implementing a vision system, leading to frustration from inconsistent performance and hidden costs. Early planning and involving integration teams can help organizations fully leverage vision systems for quality improvement.
Manufacturers need holistic operational views to improve processes amid challenges like labor shortages and supply chain issues. Tools like Statistical Process Control (SPC) and Quality Management Systems (QMS) provide insights for stability, quality management, and regulatory compliance.
Early design optimization is vital in manufacturing to ensure quality and cost-effectiveness. Delaying it until production can drastically increase costs and risks. Digital optimization before production enables cost-efficient design changes, while late-stage modifications can be exponentially more expensive, emphasizing the need for early optimization.
This article introduces the fundamental concepts of Cost of Quality (COQ) and explores two widely used models: the Prevention-Appraisal-Failure (PAF) model and the Process Cost Model (PCM).
Michelle Bangert interviews Patrick Jester, president and CEO of Blackthorn Consulting Group, current ASQ Measurement Quality Division Chair, and NCSLI divisional vice president. He has also authored several articles for Quality.
Flying is safer due to quality management systems and inspections that detect flaws in all aircraft parts. This emphasizes that success in Quality and NDI is an ongoing effort.