Scroll down for how to subscribe, transcript, and more My guest for Episode #519 of the Lean Blog Interviews Podcast is Jarvis Gray, the Managing Director of The Quality Coaching Co. He offers more than 16 years of strategic planning, quality improvement, and operations leadership experience in the healthcare industry.  Through his firm, The Quality Coaching Co., Jarvis and his associates help healthcare organizations foster cultures of system-wide quality improvement by offering customized Lean Six […]

The post Achieving Healthcare Excellence: Insights from Jarvis Gray on Lean Six Sigma and Leadership by Mark Graban appeared first at Lean Blog.

“Maybe soon I’ll add ‘measured response to frustration’ to the list of things I can pass on to my children. It’s not as fun as singing ditties about teachers or toilets, but it’s arguably a more essential skill that will serve them well in their own lives.”

Structured literacy, an evidence-based dyslexia intervention, combined with thoughtful accommodations, benefits students with ADHD and reading disabilities. Learn about these approaches here.

School refusal impacts up to 28% of children. It often stems from anxiety associated with ADHD and learning challenges. Follow this three-pronged approach to get your child back into the classroom without trauma.

American shoppers will have to pay between $1.6 billion and $3.2 billion more for connected devices such as gateways, modems, routers, smart speakers, smartwatches and other Bluetooth enabled products.

Greg Kinsey, Industry Executive at Hitachi, reveals how creative uses of the DMAIC process with digital transformation are helping factories to unlock the next level of process improvement.

For someone not in the education industry (word used on purpose), I spend a lot of time thinking about education. Just like work issues, the constant and daily reality of school tends to hit you over the head until you just have to pay attention. The thing on my mind today is how much we force kids to record about their lives. Our schools today encourage and often require kids to monitor and measure ...

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

For automation-focused companies, Autonomous Process Control (APC) isn’t just a tech advancement—it’s essential for achieving six sigma quality and boosting yields and profitability.

We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.

System integration strategies vary by industry and project scale. Success relies on thorough planning and execution, especially in machine vision technology. Here are key integration elements for success with vision technologies.

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

In this article we survey key considerations when making a lens selection. Of course, your lensing professional will be happy to advise – but they’ll ask you some of these questions anyway, so it’s helpful to make notes relative to your planned application.

The famous quote "Adapt or die" applies to businesses like Kodak and Blockbuster, which missed out on opportunities by not embracing new technologies. This concept also applies to industries like manufacturing and logistics today.

Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.

In the fast-paced and dynamic world of manufacturing, one trend is clear: short-wave infrared (SWIR) imaging and sensing is revolutionizing the industry.

Industry solutions and products rely on common standards and interfaces, enabling seamless collaboration and increasing efficiency.

Machine vision has evolved significantly over the past forty years, and the demand for specialized solutions has increased in recent years. This article will explore current and future imaging requirements.

The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.

Machine vision projects often face challenges such as slow progress, difficulty in getting quotes, cost overruns, and unreliable operation. These issues require recognizing and adapting to the unique nature of machine vision projects compared to other types of projects.

Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.

The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.

Initially seen as science fiction, machine vision in manufacturing faced hesitance due to high costs and lack of awareness. However, interest has surged, shifting the focus from "Can it be done?" to "How will we do it?" This reflects significant transformative changes in the industry.

The first part of this series covered the basic principles that make high-accuracy measurements possible for machine vision. The second part of the series looked at challenges to accurate measurements due to the application conditions. This third part looks at characteristics and components of the vision system that can limit the achievable accuracy.

As businesses increasingly rely on machine vision to enhance quality, improve productivity, and increase the bottom line, technology providers are relying more on industrial computing solutions that enable faster processing speeds and higher efficiency, or that support new tasks altogether. 

It is impossible to overestimate the critical nature of keen and constant visual inspection in any production process. That’s why an advanced vision system is vital for any of today’s advanced production lines – as well as for “yesterday’s” older and more issue-prone lines. 

Success of the industry again produces record numbers for VISION 2018.

When the materials testing application calls for up to 3,000 kN of hydraulic force applied by advanced digital control, Tinius Olsen offers its all-new SL series, replacing the company’s Super L series.

ABB has launched its new OmniVance™ Collaborative Machine Tending Cell, providing a complete integrated solution for automated machine tending that is easy to program, install and use.

Mahr Inc. announced a new solution for contour measurement.

Verisurf Software, Inc. demonstrated its new Machine Tool Probing (MTP) suite at IMTS 2024. 

AS9100 is a quality management system standard tailored for the aviation, space, and defense industries. It addresses the unique challenges of aerospace operations and was created to improve quality and reduce costs in the industry by the International Aerospace Quality Group.

The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.

Reed Switch Developments Corp. (RSD), a woman-owned manufacturer in Racine, WI, specializes in magnetic reed switches and sensors. Recognized as last year’s Quality Plant of the Year, RSD has achieved a 25% increase in sales year-to-date, leveraging in-house technical expertise and automation to manage growth amid rising costs and economic uncertainty.

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

MA micro automation will be under operation of JR Automation.
The acquisition expands JR Automation's reach into global automation markets in medical, advanced battery and other fields.

The manufacturing industry relies on precision for safety and performance. Shaft measurement instruments are crucial for ensuring the functionality of mechanical systems.

Coordinate measuring machines (CMMs) play a crucial role in verifying the dimensions of manufactured parts with precision control. CMM controllers are central to coordinating movements and processing data, driving technological advancements in the metrology industry.

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