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In my role as lead for the Smart Mobility initiative at SEMI, I recently spoke with Automotive Logistics Magazine about the growing importance of the semiconductor supply chain’s connection with the automotive industry and the semiconductor shortage hampering global automotive production. Following are excerpts from the interview. Automotive Logistics: Why is there a bottleneck in the global supply of semiconductors at the moment and how long is it likely to last? Weiss: The current automotive chip shortage resulted from the sharp, Covid-19-induced decrease in demand for automotive semiconductors in the second quarter of last year when vehicle production came to a near standstill. The automotive market picked up significantly in the fourth quarter and this caused the supply chain constraints we are seeing today. At the same time as the automotive standstill, the pandemic spurred an increase in demand for home computing and networking equipment, and semiconductor manufacturing plants (fabs) had to pivot to these other markets in order to maximize fab utilization and successfully navigate economic headwinds. Every minute a semiconductor fab is idle or has lines down adds up quickly to missed revenue, so their capacity is booked weeks and even months in advance. With this background, I don’t believe this is a structural shortage and expect a gradual recovery over the next two quarters, barring any major shifts in geopolitics or macroeconomics. Automotive Logistics: What needs to be done to remedy the current shortfall for the automotive industry? Weiss: The automotive industry needs to continue to strengthen its connections to the semiconductor manufacturing supply chain. In past years, auto manufacturers used to rely mainly on their tier one suppliers to interface with the semiconductor supply chain. This has changed significantly. Not only are more chips being used in vehicles (roughly 10% of all devices produced globally end up in cars), but the strategic importance of the chips as enablers for ADAS [advanced driver-assistance systems], electrification, safety, connectivity and other consumer-driven features has increased considerably. With this dynamic in play, carmakers have recognized the value of interacting and collaborating more closely with the semiconductor supply chain. This provides vehicle OEMs with access to innovation, the ability to influence technology direction and pace, along with greater visibility into global supply chain developments. The SEMI Smart Mobility initiative is evidence of this transition, with the likes of Audi, BMW, Ford, Uber, Volkswagen and other vehicle OEMs, along with tier one suppliers such as Continental and Bosch, now actively involved in our automotive electronics and mobility activities to do exactly that – influence, partner, accelerate and guide the global electronics design and manufacturing supply chain that SEMI represents. Automotive Logistics: What percentage of semiconductors manufactured for use by US-based companies are for automotive applications and how has this grown in recent years? Weiss: A little over 10% of semiconductors produced worldwide are sold into the automotive segment, but this number is expected to grow at an accelerated pace in the next few years as electrification, connectivity and autonomous driving become more prevalent. Automotive Logistics: How is SEMI working to help the automotive industry get a clearer view of sub-component supply and better manage supply chain risk? Weiss: The SEMI Smart Mobility initiative is designed to engage automotive OEMs, tier ones, semiconductor device makers, design houses, and equipment and materials companies to drive alignment across the supply chain and address shared challenges collectively. To facilitate this engagement, we created the Global Automotive Advisory Council (GAAC), which has active chapters in Europe, US, China, Japan and Taiwan. The GAAC provides an open platform for creating solutions, fostering collaboration and partnering with other industry bodies to accelerate and harmonize industry efforts that benefit the entire ecosystem. Volkswagen and Audi are already SEMI members – both are founding members of the GAAC Europe chapter – and have become vocal champions and critical contributors to our efforts. When all stakeholders work together, I have no doubt that the future of automotive and mobility will continue to be bright. Interested in learning more about this topic? Read the full interview in Automotive Logistics Magazine, A Fab Future for the Automotive Sector. Please contact me at [email protected] for more information about SEMI’s Smart Mobility Initiative, the Global Automotive Advisory Council, and how SEMI can help your organization navigate electronics in the automotive industry to drive innovation in the mobility space. Bettina Weiss is Chief of Staff and Global Smart Mobility Lead at SEMI.
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Smart technologies have gripped the world’s imagination with their promise to revolutionize the way we live and work. With the semiconductor supply chain central to these advances, SEMI Japan in October hosted 200 members for SEMI Japan Members Day as speakers from three of the world’s top device manufacturers – Denso, Sony and Kioxia – offered their perspectives on the strides the semiconductor industry needs to make in three key areas: automotive, smart manufacturing and 3D flash memory manufacturing technology. Automotive Evolution and Electronics – DensoThe automotive industry is re-inventing itself to innovate across connectivity, autonomy, sharing and electric (CASE) and ensure safe, comfortable and environmentally friendly autonomous driving, said Nobuaki Kawahara, executive fellow and director of the Advanced Research and Innovation Center at Denso. Key focus areas of Denso in CASE innovation are Extraordinary Safety and Everyday Confidence. The company’s goal is to minimize damage to vehicles involved in collisions or one-car accidents by making it easier for drivers to detect and steer clear of objects in their path.To improve automobile safety and security, the company is developing advanced driver-assistance systems (ADAS) and autonomous driving technologies as it promotes the confluence of four areas of technology – HMI (Human Machine Interface), environmental recognition, vehicle control assistance, and information and communications. One use case Denso sees as a significant opportunity is deploying sensors such as millimeter-wave radar, cameras and LiDAR to monitor a vehicle’s surroundings, using GPS and precision mapping to pinpoint its location and determine the best route for safety and distance, and then transmitting that information to a motion-control system.Denso is also out to solve the hard challenges associated with autonomous driving in dynamic road conditions. Kawahara pointed out that road conditions vary and that rules for "driving at certain intervals in a certain lane" vary depending on the time of day. Also, on public roads in Abashiri, Hokkaido, where the company is currently conducting field tests, snowfall makes it difficult to recognize road images and gather sensor information. In Asia, it is also common for motorcycles and automobiles to speed along with very little space between them.Image Sensors to Accelerate Development of Smart Manufacturing – SonyTo fulfill the promise of smart manufacturing, the semiconductor supply chain must continue to invest in sensor and imaging technology innovation, said Shigeo Ohba, deputy senior general manager of the Imaging System Business Division at Sony Semiconductor Solutions. For its part, Sony is developing imaging sensors that help network and automate factories to achieve new production and cost efficiencies. For example, the company plans to design devices to increase equipment uptime through predictive maintenance, reduce defect rates and drive other manufacturing efficiencies. The challenge with today’s factory lines that produce a number of different devices is that they are highly complex to manage and therefore prone to human error, undercutting manufacturing efficiency. In the future, AI-powered machines will leverage data analysis to help streamline operations. Adapting an image sensor with AI to machine vision applications can simplify key processes such as measurement and inspection processes while reducing safety and security costs.Of the vast amount of information on all machines connected to the cloud, only essential details will be processed at the edge since edge data processing offers stronger security and reduces data transfer time. Ohba said image sensors will evolve based on edge AI, adding that "AI will be a paradigm shift for image sensors if it’s economically feasible."3D Flash Memory Manufacturing Technology Challenges – KioxiaIncreasing connectivity in factories for smarter, more efficient operations places huge demands on memory since networked devices typically store duplicate data, said Hideshi Miyajima, head of the Advanced Memory Development Center (AMDC) at Kioxia. To meet demand for higher networking speed and capacity, 2d NAND flash memory is moving to 3D and, in particular, three 3D techniques: multivalued memory, cell partitioning and layer stacking.To increase storage capacity, the third-generation 64-layer BiCS FLASH™ stacks layers to form nearly two trillion holes with a diameter of 100nm and a depth of 5μm on a wafer and places a uniform 2-3nm thin film on the inner wall of each 5-μm hole. For its BiCS FLASH™, Kioxia uses a dry etching technique that forms a straight, elongated through-hole and atomic layer deposition (ALD) technology, which creates a uniform laminate atomic layer on the wafer surface to grow materials uniformly and with high precision on large, complex substrates.In order to meet the cost expectations of high-volume 3D flash memory manufacturers, outlays across fabs must be reduced by better monitoring plasma control, enhancing yield through particle control, speeding film formation, and reducing gas, power and water usage, Miyajima said.SMART Transportation and SMART Manufacturing in the Spotlight at SEMICON JapanPlease join us at SEMICON Japan 2019, December 11-13 at Tokyo Big Sight, for the latest developments and trends in SMART Transportation and Smart Manufacturing. There are also a few other great reasons to attend. We look forward to seeing you in Tokyo!Jim Hamajima is president of SEMI Japan.
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The Japan semiconductor manufacturing supply chain is a global semiconductor industry workhorse, producing about one third of world’s chip equipment and more than half of its semiconductor materials. In contributing the vast majority of these products, SEMI Japan member companies hold the high distinction of enabling continuous development of the worldwide semiconductor industry. Aptly, then, technology powerhouses IBM, Nissan Motors and Toshiba offered insights into the latest trends and innovations in computing and smart cars at the late-May SEMI Japan Members Days in Tokyo with 133 technologists from member companies in attendance. As the audience discovered, chip innovation never sleeps and, as futuristic as it can be, invariably gives rise to possibilities beyond the human imagination. That was the message of kickoff presentation “Computing Reimagined – AI/Quantum/IoT” – by Dr. Shintaro Yamamichi, Senior Manager, Science Technology at IBM Research-Tokyo. Dr. Yamamichi cited three examples of how semiconductors uncover new technology frontiers. Computational materials discovery, a novel methodology, is the application of theory and computation to unearthing new materials and the key to enabling an ongoing stream of semiconductor innovation. In particular, using cognitive technology to mine huge volumes of literature reveal new insights into materials that uncover even more functionality such as greater conductivity and heat resistance. With new materials the oxygen of ever more advanced semiconductor chip manufacturing, the semiconductor industry will surely benefit from this methodology. The opportunity to accelerate quantum computing innovation is now. Launched in May 2016, the IBM Quantum Experience gives students, researchers and general science enthusiasts hands-on access to IBM’s experimental cloud-enabled quantum computing platform. The online platform features a forum for discussing quantum computing topics, tutorials on how to program IBM Q devices, and other educational material about quantum computing. Dr. Yamamichi encouraged the audience to join the program. The world’s tiniest computer, unveiled by IBM at the company’s Think 2018 conference in Las Vegas, packs several hundred thousand transistors and, IBM claims, the equivalent power of a 1990s x86 chip into a package smaller than a grain of salt. The computer’s small form factor (less than 1mm x 1mm) and low manufacturing cost means it can be embedded in product price tags and packages as an anti-fraud device using blockchain technology. Vehicles need to be both electric and intelligent as countries become more populous and traffic density increases. More drivers extend average drive time, boost greenhouse emissions, devour precious energy resources and lead to more traffic congestion and accidents. Dr. Haruyoshi Kumura, fellow at Nissan Motor, highlighted these issues in stressing the importance of a new era of intelligent mobility. To mitigate these problems, Nissan is focusing on the electrification and intelligence of its vehicles: Nissan’s electric vehicle, Leaf, reduces accidents with electric intelligence systems such as e-Pedal, which uses an accelerator pedal only for both acceleration and deceleration, and ProPILOT Park, a feature that automatically parks the car by using multiple cameras and ultrasonic sonars to detect pedestrians and other objects around the vehicle. With more than 90 percent of traffic accidents caused by driver error, Nissan plans to introduce autonomous driving on multi-lane highways by the end of 2018 and on city streets by 2020. By 2022, the company plans to roll out full autonomous driving to reduce traffic accidents caused by inattentive drivers. For full autonomous driving to materialize, sensor fusion technology must incorporate a combination of technologies – radar systems, light detection and ranging (LiDAR) systems and cameras – to identify the shapes and locations of nearby moving objects and measure their speed. Sensed information is then processed by a 3D graphic analyzer to make electric throttle, braking and steering decisions. The outlook for automotive industry includes car sharing and more electrification – both insights from Yoshiki Hayakashi, general manager, automotive solution strategic planning division at Toshiba Electronic Devices Storage, who offered his perspectives on trends in Japan’s automotive industry and beyond. To meet the requirements of the COP21 Paris agreement, the global automotive industry is shifting to electrification. Toshiba estimates 60 percent of new cars will be electric vehicles by 2040 to meet the International Energy Agency’s global EV outlook. In Japan, autonomous driving or advanced driver assistance systems (ADAS) will be offered in certain areas by 2020, the year of the Tokyo Olympic games. Growth of these advanced driving systems hinges on infrastructure development. Supporting data centers, intelligent transport systems, vehicle-to-everything connections, and smart city are all necessary components. Car ownership will begin to cede ground to car sharing with technology elites such as Tesla, Apple and Google leading the way. To expand the car-sharing industry, new alliances will take shape between new and old-guard automotive companies and electronics manufacturing services (EMS) providers. Autonomous driving requires precise 3D renderings of actual roadways using sensors for route mapping. While sensor fusion must be deployed for these capabilities, LiDAR offers better sensing range and space resolution precision than ultrasonic sonars, radars, and cameras. The next SEMI Japan members day is scheduled for October 30 in Tokyo. SEMI holds similar events in most regions where SEMI and its members operate. For the members events in your region, contact the SEMI office nearest you. Yoichiro Ando is a marketing director in SEMI Japan.
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