Skip to main content

General Motors spins up global supply chain to make 50,000 face masks a day

GM today announced manufacturing details around building much-needed medical face masks. According to the company’s press release, it took the company less than seven days to go from nothing to producing the first production-made mask. The automotive giant said today in a released statement it expects to deliver 20,000 masks on April 8 and soon after, able to produce 50,000 masks a day once the production line is at full capacity.

These face masks are a vital piece of personal protective equipment (PPE) used by front-line healthcare staff to protect themselves against the virus-causing droplets that are spread by patients through coughing and sneezing in clinical settings.

GM turned to global partners to create this manufacturing line within a week. The company sourced material from GM’s existing supply chain and acquired manufacturing equipment from JR Automation in Holland, Michigan, and Esys Automation in Auburn Hills, Michigan. As the company’s press release says, GM even created an ISO Class 8-equivalent cleanroom in GM’s Warren manufacturing plant. GM and the UAW will seek two dozen volunteers to staff this new assembly line.

“The first people we called were those who work with fabric vehicle components,” said Karsten Garbe, GM plant director, Global Pre-Production Operations. “In a few days, the company’s seat belt and interior trim experts became experts in manufacturing face masks.”

While this team was creating a face mask assembly line, others within GM were working towards creating ventilators. Last Friday, March 27, President Donald Trump signed a presidential directive ordering GM to produce ventilators and to prioritize federal contracts. This came hours after the automaker announced plans to manufacture the critical medical equipment needed for patients suffering from COVID-19, the disease caused by the coronavirus.

Other automakers joined the fight, as well. Ford and GE Healthcare licensed a ventilator design from Airon Corp and plan to produce as many as 50,000 of them at a Michigan factory by July as part of a broader effort to provide a critical medical device used to treat people with COVID-19. Under this partnership, Ford said it expects to produce 1,500 Airon ventilators by the end of April, 12,00 by the end of May, and 50,000 by July.



from TechCrunch https://ift.tt/2USsYUO
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT