Check out the December 2024 edition of Quality! Read our cover story on probes and styli products that are becoming smarter. Read more features, the latest columns, a Vision & Sensors special section, and much more!
Probes and styli are vital for smart manufacturing, evolving into advanced sensors that enhance automation and quality control. These precise tools measure parts, guide machines, and enable real-time adjustments, improving efficiency and reducing defects in CNC and robotic applications.
Catheters are essential for interventional procedures, and their reliability is verified through critical tests like tensile, lubricity, and trackability testing. These assessments ensure that catheters meet the demands of medical applications, driving advancements in catheter technology.
This article will explore how mass finishing technologies, shot blasting, and bespoke solutions for additive manufacturing (AM) parts play a pivotal role in the final stages of medical device production.
The manufacturing sector may be facing challenges, but the future is full of possibilities for those willing to innovate, adapt, and invest in their digital future.
The manufacturing sector is poised for transformation by 2025 through automation and AI to tackle labor shortages. There is also a crucial emphasis on cybersecurity and analytics to future-proof supply chains against ongoing challenges.
After reviewing the purpose and benefits of standard work, I am reminded that working smarter should always be a priority to preserve safety, time, quality, and costs.
Standard work is vital for improving safety, efficiency, and quality by establishing the best way to perform tasks consistently. By documenting and implementing these processes, organizations foster a culture of continuous improvement, empowering employees and driving cost savings.
Effective AI deployment requires addressing challenges related to continuous learning, adaptation, and the robust management of vast, real-time data streams—areas where DMAIC falls short.
This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.
Unlike internal combustion engine vehicles, EVs rely on complex battery systems, electric powertrains, and sophisticated software that must work seamlessly together.
As electric vehicles (EVs) reshape the automotive industry, manufacturers are pressured to enhance processes and achieve first-time quality. The demand for sustainable transportation requires a rethink of production strategies, with a focus on establishing a one-piece flow—ensuring each unit moves through the line without interruptions. This efficiency is vital for meeting consumer expectations and setting industry benchmarks.
Athletes facing challenges are often told to "return to the fundamentals." Odell Beckham Jr.'s iconic one-handed catch in 2014, deemed "absolutely impossible," showcased his talent and inspired young players. This highlights the crucial role of fundamentals in achieving excellence in sports and beyond.
In our ever-changing world of global business, quality is a cornerstone of success. Organizations striving for excellence cannot afford to overlook Total Quality Management (TQM), a management philosophy centered on the continuous improvement of processes, products, and services through the involvement of all employees.
This may seem like two very different fields, but they surprisingly intersect, combining the precision and accuracy of measurements with the creativity and subjectivity of artistic expression.
This standard can be used by any industrial sectors requiring a measurement management system, and is complementary to the requirements of ISO 9001, ISO 14001 or any other management system standard.
I have provided updates of the progress and development of ISO 10012 over the past three years. I am happy to say that after three years and numerous meetings the Draft International Standard (DIS) ISO10012 Quality management – Requirements for measurement management system has been released for review, approval, and comments.
As smart factories have grown to embrace more advanced technologies such as AI, machine learning, and smart sensors, they’ve also evolved to include more developed forms of metrology.
These advancements made our factories smarter by enabling systems to communicate with each other, share live data, and make decisions without human intervention.
This article considers how quality professionals and practitioners can more effectively prepare for their certification exams which are proctored or supervised as they complete a selection of responses from multiple-choice questions.
Serving as the Chair of the ASQ Inspection Division has been a remarkable journey of leadership, collaboration, and growth. It has been both a privilege and a responsibility to guide the division through strategic initiatives aimed at empowering our members and elevating the quality profession.
The ongoing challenge for many companies is how to upgrade or integrate internal audit knowledge/competence and maybe cross train auditors for all the auditing schemes that your company is currently registered to or may be planning on expanding.
Advancements in Contact Image Sensor (CIS) technology are transforming machine vision. They offer high speed, resolution, and a compact design ideal for tight inspection tasks in battery and PCB production lines. With features like high dynamic range and accurate metrology, CIS enhances quality control and efficiency in modern manufacturing.
Modern vision systems need high-performance wide-angle lenses for applications like autonomous robots and agricultural monitoring. Rectilinear lenses offer straight lines and high resolution without the barrel distortion of fisheye lenses, enabling accurate object detection and real-time performance without the need for post-processing corrections.
The pericentric lens captures a top view and a 360° lateral view of cylindrical objects, needing careful selection to fit the image within the camera sensor. Its 24° angle provides adequate side visibility, reducing the need for dedicated side cameras and lowering costs.
Due to advancements in sensor technology, shortwave infrared (SWIR) imaging is gaining traction in industrial applications. This growth is expected to drive a 28% annual increase in the machine vision market, enhancing food inspection, waste recycling, and agriculture.
Selecting the right lighting for machine vision is challenging, as achieving optimal contrast and consistent illumination is crucial for effective image processing. This article discusses the complexities of lighting design, including front versus backlighting and bright versus dark field illumination, and explores how LED technology and the lighting cube concept can streamline your vision system.
Many manufacturers miss out on automation’s potential for improving quality. To achieve these gains, quality must be prioritized from the business case to sourcing and implementation.
Manufacturers can significantly enhance product quality through automation, potentially reducing quality issues by 50-75%. However, to achieve these improvements, companies must integrate quality control systems, understand the costs of quality issues, and clearly define quality goals when sourcing automation solutions.
Autonomous systems, collaborative robots, AI-driven robotics applications and sustainable robotics are shaping a new era of automation and human-robot interaction.
Robotics is rapidly advancing from science fiction to practical uses across industries like manufacturing, logistics, and healthcare. Key trends include autonomous systems operating independently, robots collaborating with humans for improved productivity and safety, and AI integration that allows robots to learn and adapt. This technology enables both large enterprises and SMEs to optimize processes and meet growing demands.