Are American Manufacturers Really Exiting China?

China Briefing | April 12, 2019

Are American Manufacturers Really Exiting China?
Keeping the Chinese economy rolling along in healthy numbers is seen as a large battle for China at present. The still-to-be-resolved US-China trade spat has certainly had an impact on American sentiment towards China, and US-China trade is down significantly as a result of both countries imposing tariffs on a raft of each other’s products.
This has hurt some China-based US manufacturers, reliant on low tariffs within the US-China trade space to keep their China-made products competitive. There may well be longer term repercussions too, as such manufacturers are opting to transfer all or part of their China-based production to non-affected countries, such as Vietnam.
Headlines such as Would The Last Company Manufacturing In China Please Turn Off The Lights may apply to a small number of tight-margin US investors in China. However, the frightening headline is really designed more to attract views rather than offer an in-depth analysis. These are attention-grabbing statements, but are they real?

Spotlight

Every product ensures a complex journey that begins at an assembly and ends at delivery to the end user. This journey is never as simple as going from Point A to Point B; it often involves a multifaceted, meticulously-calculated sequence of manufacturing touchpoints that are executed in a precise order.

Spotlight

Every product ensures a complex journey that begins at an assembly and ends at delivery to the end user. This journey is never as simple as going from Point A to Point B; it often involves a multifaceted, meticulously-calculated sequence of manufacturing touchpoints that are executed in a precise order.

Related News

DataED and Bestronics Merge to Form Emerald EMS for Integrated Manufacturing Services

Emerald EMS, Data Electronic Devices, Bestronics | July 01, 2020

Principals in DataED and Bestronics announced today the merger of the two leading global EMS providers to form Emerald Electronics Manufacturing Services (Emerald EMS). Emerald EMS is a high-tech contract manufacturing and design firm with global, cost-effective, and high value manufacturing solutions servicing high-reliability end users in the industrial controls, semiconductor, utilities infrastructure, aerospace/defense and medical sectors. Emerald will offer its customers integrated manufacturing services, including prototyping, new product development and testing, volume production, supply chain management, direct order fulfillment and end-of-product life cycle management with superior quality, advanced technology and exceptional service. Domestically, the company will have a bi-coastal footprint, with two manufacturing facilities located in Boston's "high-tech corridor," including a dedicated New Product Introduction facility, and two more, including a dedicated box build facility, in San Jose, the heart of California's Silicon Valley. Additionally, the company has two manufacturing facilities in Shenzhen, China.

Read More

IOhub™ IIoT Orchestrator Is Now Available on Siemens Simatic Devices

IOhub | June 24, 2021

Because of its simplicity of use, flexibility, and affordability, IOhub by EZ VPN is rapidly gaining popularity with system integrators and machine builders worldwide. EZ VPN makes IOhub available on Siemens Simatic IPC127E devices in response to strong customer demand. IOhub is a modular orchestrator and communication runtime that enables the development of IIoT applications without coding. IOhub enables developing Industry 4.0 applications and integrating heterogeneous PLCs, field sensors, and software easier and more inexpensive. The availability of IOhub features and advantages on the Siemens Simatic IPC127E will accelerate IOhub's adoption as an IIoT orchestrator and communication solution. The flexibility of IOhub A big automation client asked EZ VPN's European team to provide a significant number of installations with IOhub as a data management and integration solution. IOhub has to be installed on a Siemens-branded hardware device to meet the customer's standards and needs. In keeping with its goal, EZ VPN aims to keep its technology open and simple to use by making IOhub accessible on various platforms and making EZ VPN application modules available for free. Customers are not compelled to utilize proprietary languages, frameworks, SDKs, runtimes, and so on but instead benefit from the flexibility of an open-source Docker container orchestrator, such as IOhub. The complexity of creating environments, installing, deploying, configuring, maintaining, and monitoring system statuses are hidden on the back end with IOhub, while preserving the dependability and security of an open-source solution.

Read More

Foxconn, Socionext & Hailo Partnership to Launch Next-Gen AI Processing Solution for Video Analytics at the Edge

Foxconn Technology Group, Socionext Inc., Hailo | May 13, 2020

Foxconn, a global leader in smart manufacturing, is joining Socionext, a major provider of advanced SoC solutions for video and imaging systems, and leading AI chipmaker Hailo. The new combination provides market-leading energy efficiency for standalone AI inference nodes, benefiting applications including smart cities, smart medical, smart retail, and industrial IoT. Foxconn has already deployed several in-house developed AI solutions on different production lines. Foxconn, a global leader in smart manufacturing, is joining Socionext, a major provider of advanced SoC solutions for video and imaging systems, and leading artificial intelligence (AI) chipmaker Hailo to launch the next-generation AI processing solution for video analytics at the edge. Foxconn has combined its high-density, fan-less, and highly efficient edge computing solution, "BOXiedge™", with Socionext's high-efficiency parallel processor "SynQuacer™" SC2A11, and the Hailo-8™ deep learning processor. The new combination provides market-leading energy efficiency for standalone AI inference nodes, benefiting applications including smart cities, smart medical, smart retail, and industrial IoT. In a global AI market forecasted by research firm IDC to approach $98.4 billion in revenue in 2023, this joint solution helps address the need for cost-effective multiprocessing capabilities required in video analytics, image classifications, and object segmentation. The robust, high-efficiency product is capable of processing and analyzing over 20 streaming camera input feeds in real-time, all at the edge. The result is a high-density, low-power, complete local VMS server, ensuring top performance for video analytics and privacy, including image classification, detection, pose estimation, and various other AI-powered applications - all in real time. Read more: Plex Systems Annual Study Finds Only 24% of Manufacturers Globally Have Implemented a Smart Manufacturing Initiative "Our vision at Foxconn is to pave the way for next generation AI solutions," said Gene Liu, VP of Semiconductor Subgroup at Foxconn Technology Group. "We are confident that this strategic collaboration with our long-standing partner, Socionext, alongside Hailo, will do more than that. We recognize the great potential in adopting AI solutions for a multitude of applications, such as tumor detection and robotic navigation. This is why we are proud to say that our edge computing solution combined with Hailo's deep learning processor will create even better energy efficiency for standalone AI inference nodes to positively impact rapidly evolving sectors including smart cities, smart medical, smart retail, and industrial IoT. Foxconn has already deployed several in-house developed AI solutions on different production lines, leading to an improvement in reporting accuracy from 95% to 99% and a reduction of at least one third of the operating costs for appearance defect inspection projects. We are very pleased with this joint effort by the companies, and to officially announce our strategic partnership with Hailo. This collaboration will lead to more innovative solutions that specifically address the growing demand from our AI customers in multiple sectors. We are confident that this product will enable endpoint devices to operate with better performance, lower power, more flexibility, and minimal latency. - Noriaki Kubo, Executive Vice President at Socionext Hailo's specialized Hailo-8™ deep learning processor delivers unprecedented performance to edge devices. Featuring up to 26 Tera Operations Per Second (TOPS), the chip is built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously only run on the cloud. Its advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge. We are thrilled to announce our collaboration with two of the global leaders in AI solutions. Our deep learning processor significantly upgrades the capabilities of smart devices operating at the edge, and this collaboration will impact a wide range of industries increasingly driven by edge technology. A new generation of chips means a new generation of capabilities at the edge. - Orr Danon, CEO and Co-Founder of Hailo The next generation of the BOXiedge AI computing solution is equipped with applications for a broader market relying on low latency, a high data rate, high reliability, and quick processing at the edge. Smart retail and smart cities, for instance, require hundreds of cameras - either in-store or in traffic monitoring - to generate video streams that need to be processed locally, quickly, and efficiently with minimal latency. Similarly, for industrial IoT, where every split-second counts, data acquiring, processing, inferencing, and presenting on the production floor rather than in the cloud translates into significant cost savings along with more efficient processing for tasks such as inspection and quality assurance. Read more: Trend Micro Research Identifies How Hackers Could Leverage New Attack Methods to Sabotage Industry 4.0 About Foxconn Technology Group: Established in 1974, Foxconn Technology Group ("Foxconn") is a leading technological solution provider, that has leveraged its expertise in software and hardware to integrate its unique manufacturing systems with emerging technologies. By capitalizing on its expertise in Cloud Computing, Mobile Devices, IoT, Big Data, AI, Smart Networks and Robotics/Automation, Foxconn has expanded capabilities in four key technologies – Data Tech, Analytics Tech, Platform Tech, and Operations Tech. The company has research centers and testing laboratories internationally and has received more than 83,500 patents worldwide. In addition to maximizing value-creation for customers, Foxconn is also dedicated to enhancing the concept of environmental sustainability in the manufacturing process and serving as a best-practices model for global enterprises. About Socionext Inc.: Socionext is a global, innovative enterprise that designs, develops and delivers System-on-Chip based solutions to customers worldwide. The company is focused on technologies that drive today's leading-edge applications in consumer, automotive and industrial markets. Socionext combines world-class expertise, experience, and an extensive IP portfolio to provide exceptional solutions and ensure a better quality of experience for customers. Founded in 2015, Socionext Inc. is headquartered in Yokohama, and has offices in Japan, Asia, United States and Europe to lead its product development and sales activities. About Hailo: Hailo, an AI-focused, Israel-based chipmaker, has developed a specialized deep learning processor that delivers the performance of a data center-class computer to edge devices. Hailo's AI processor is the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection and segmentation in real time, with minimal power consumption, size, and cost. The deep learning processor is designed to fit into a multitude of smart machines and devices, impacting a multitude of sectors including automotive, industry 4.0, smart cities, smart homes, and retail. The company was founded in 2017 by members of the Israel Defense Forces' elite technology unit.

Read More