Medical device companies are embracing digital technologies that increase operational efficiencies, enhance collaboration, and enable seamless data sharing across different software systems.
Medical device companies are adopting APIs to enhance operational efficiency and speed up product development while meeting regulatory requirements. APIs enable seamless data exchange between software systems, streamlining processes like clinical trial data collection and quality management.
FMEA is a crucial tool for anticipating and preventing failures in products and processes, enhancing quality and reliability across industries. Discover how this method can safeguard operations and drive success.
While AI is often touted as cutting-edge, its practical application is helping manufacturers reduce time spent on repetitive tasks and automate decision-making.
Discover how AI-powered machine vision is revolutionizing manufacturing by streamlining defect detection and enhancing vision-guided robotics, driving efficiency and quality to new heights!
Nicholas Blake of Advex AI explains how synthetic examples can be used to help improve training models, what machine vision offers, and how AI inspection can cut training time down from years to hours.
Rodrigo Perez from MxD discusses the exciting career opportunities in manufacturing. As a manufacturing systems integration engineer at MxD, he shares insights on recruiting the next generation, offers advice for newcomers, and explains the benefits of using digital twins in organizations.
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.
A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.
By leveraging billions of historical data points and real-time insights, manufacturers can empower new operators to meet stringent quality standards while maintaining throughput goals.
The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.
If there are common causes of variability and the product is not meeting customer needs, process improvements are needed to improve the product quality.
Traditional control charting techniques, despite their long history, can lead to wasteful outcomes due to certain mathematical properties. This article examines these issues using a Minitab dataset and introduces a free 30,000-foot-level metric-reporting app as an alternative, supported by Minitab analyses.
Organizations are increasingly adopting Software as a Service (SaaS) for quality management, moving away from traditional on-premises systems due to its scalability and cost-effectiveness. By 2025, SaaS is projected to power 85% of all business applications, up from 70% in 2023.