data analytics

Collaboration among industry stakeholders may be instrumental in continuing the demanding pace of Moore’s Law for years to come. Integrating data analytics, ML and AI into semiconductor test processes is an important step in realizing this goal.

SEMICON Europa 2022 (Munich, 15-17 November) attendees gathered at the Executive Forum for the Opening Ceremony on day one to hear from industry leaders and gain insights into the latest market and technology trends.

Guido D’hert, High Tech and Semiconductor Industry Europe Lead at Accenture, spoke about challenges semiconductor companies face in meeting sustainability goals and how to apply analytics, new green technologies and circular design, sharing during his presentation at ISS Europe in Brussels, Belgium.

A steel mill and a 200mm semiconductor fab face a similar challenge: How to improve output, whether in Tons Per Year (TPY) or Wafer Starts Per Month (WSPM), while saddled with a capital equipment footprint that cannot be readily replaced or easily expanded.

From the need for more tech talent to fuel digital transformation across all industries to the great resignation and great retirement of workers en masse, the demand for tech talent continues unabated.

The state of manufacturing is changing rapidly. Regardless of sector or location, manufacturing decision-makers across the world are signaling a desire for better supply chain resiliency, manufacturing flexibility, increased speed of innovation and stronger environmental sustainability. Singapore’s manufacturing sector, a significant contributor to its gross domestic product, is always evolving and today is shifting away from its traditional focus on producing highly customized products using flexible manufacturing processes, but at significantly lower efficiencies. Today, with Industry 4.0, we can design manufacturing systems that optimize both efficiency and flexibility. And this is possible because of the convergence of technologies such as artificial intelligence (AI), data analytics, robotics and the Industrial Internet of Things (IIoT). This blend of technologies helps reduce the cost of technological solution ownership – a derivative of Right’s Law – as a function of cumulative production. In HP Singapore, driving innovation in our product and processes is part of our DNA, and over time our products have grown in complexity and breadth. We have embraced Fourth Industrial Revolution (4IR) technologies in our advanced manufacturing lines. We started our Industry 4.0 journey in 2016 with Vision and Mission 2020 to modernize our production facilities to smart factories that strengthen our competitive edge. Our focus was on upskilling our employees with future skill sets, build new technological capabilities and partner with higher education institutes. To drive these transformations, we have formulated five pillars: Additive Manufacturing Data Analytics Cyber-Physical Integration Digitalization Workforce Transformation These five pillars have enabled us to move from labor-intensive and reactive processes to processes that are highly digitized, automated, and AI-driven, enabling us not only to increase quality and productivity but also to reskill our people in anticipation of jobs they will need in the future. Technicians have been upskilled and promoted to techno-operators which has, in turn, freed up technical specialists to explore other roles. Engineers have retrained as data scientists, or have moved to new product development, for instance. In 2017, HP’s Ink Supplies Operations (ISO) set up Smart Manufacturing Applications and Research Centre (SMARC) to adopt 4IR technologies and implement these innovations in production lines. Today, SMARC is the home ground for HP engineers to experience, trial and prototype solutions, bringing innovative and sometimes unexpected solutions to manufacturing. It is also a showcase for industry partners, government agencies and schools. Here is how each pillar of the SMARC contributed to transformation to augment the manufacturing workforce: Cyber-Physical Integration – Move Role of robotics/automation – By standardizing automation standards for robotics, we have deployed collaborative robots (Cobots) and autonomous intelligent vehicles (AIVs) to perform manual and routine tasks to drive productivity, while reducing errors from operator fatigue and protecting our operators’ physical well-being. Digitalization – Sense Role of IIoT – Devices are a treasure trove of data that can provide clarity on how the entire manufacturing line is performing in real time. Building a platform that connects devices and collects data while allowing factory floor managers to dynamically visualize on an Integrated Command Centre (ICC) and manage factory performance is central to HP’s digital transformation journey. And IIoT is not restricted to just devices that are already wired for data sharing. HP has also connected off-the-shelf analogue devices using a standardized data transportation protocol, allowing HP to collect essential data across all types of devices and eliminating manual data entry. Additive Manufacturing – Build By embracing additive manufacturing (use of HP MultiJet Fusion 3D printers), HP introduced more flexibility in operations through on-site rapid prototyping, light production, and replacement of parts needed on our manufacturing floors, shortening production timelines. We 3D printed pallets, which are cheaper and faster to produce, and replaced original pallets for transportation on conveyor belts, improving the efficiency and productivity of our operators. Director Jamie Neo with HP’s MultiJet Additive Manufacturing Printer. (Photo Credit: HP) The HP Multi Jet Fusion 3D printing technology has helped HP to replace traditional manufacturing methods and streamline processes in our supply chain. For example, HP is 3D printing the Drill Extraction Shoe, a tool that is essential to the removal of waste products from laser-drilling in HP’s printhead manufacturing line. Through 3D printing, HP has consolidated the production of the tool from nine parts to one 3D printed model, thereby optimizing the design of the tool and reducing its production time from three to five days to 24 hours. Data Analytics – Think By deploying advanced analytics and machine learning models, HP has enabled real-time detection, diagnostics, and prediction of product quality across our manufacturing lines. Predictive models are replacing traditional “destructive testing,” reducing waste and allowing HP to meet unique product specifications more accurately. Machine learning is diagnosing and recommending the right set up for tools and manufacturing lines, when necessary, to reduce downtime and increase precision. Workforce Transformation – Grow The pivot to becoming an advanced manufacturing leader not only requires HP to invest in 4IR technologies but also skill sets to operate 4IR technologies. We embarked on a Workforce Transformation program to help our employees stay competitive in a fast-changing world. Today 35% of HP technical workforce have had the opportunity to take on new roles even as needs evolve, thanks to internal and external training and reskilling. Beyond technology and training, the glue that binds these together and makes it successful is our culture at HP. We are ambition-led, which means that we do not see the world as it is, but what we can be. And we do so by collaboration. Plans for the Future After accomplishing our Mission 2020, in late 2020 we launched Mission 2025 to extend our end-to-end smart factory capabilities through advanced connectivity, intelligence and automation to optimize and drive sustainable manufacturing flexibility and efficiency. Pyramid of HP’s smart manufacturing focus Advanced technologies such as additive manufacturing, IIoT, automation and robotics, data analytics, machine learning and AI are central to the connectivity and the end-to-end intelligence of our smart factories, enhancing production efficiency and flexibility while improving the quality of our products. For example, the deployment of IIoT sensors in our wafer plant has helped to reduce downtime in replacing CO2 gas cylinders. What’s more, AI enables us to more accurately monitor the dispensing of structural adhesive to eliminate lost yield. We believe that by enhancing manufacturing efficiency and flexibility, we were able to shorten resolution time, reduce our carbon footprint, and improve the resiliency of our manufacturing and supply chain systems. HP smart factory model In April 2021, two lines in HP Singapore joined the World Economic Forum’s Global Lighthouse Network after being recognized for pivoting from a labor-intensive factory into a digitized, automated one with the help of AI. In doing so, we managed to improve manufacturing costs by 20% and productivity by 70%. Under Mission 2020, we saw the following successes: Improved manufacturing costs by 20% Improved productivity by 70% Brought most HP employees onboard to our smart manufacturing journey Equipped HP employees with skill sets in areas such as additive manufacturing, data analytics, AI, robotics and Internet of Things Established a Model Factory playbook With Mission 2025, we will: Continue to train employees in future skillsets by partnering with institutes of higher learning Scale our Model Factory playbook across more manufacturing lines to reduce costs and improve productivity Enhance our knowledge in additive manufacturing by building an ecosystem as a service platform to help manufacturing companies Enable a sustainable manufacturing system to reduce our carbon footprint and help enable a circular economy We believe in innovating with purpose by focusing on solving real-world problems and creating technology in the service of humanity. That is why we built the SMARC to create the solutions for our lines and showcase these solutions to encourage industry participation. We are driven by values and ambition, which means that it is not just what we do, but also how we execute it. We make sure our values inform everything we do – for instance, helping us make a greater impact to environmental sustainability, people, and our community. We believe this is a crucial step in coalescing industry support, which is necessary to move the needle on advanced manufacturing. Robert Ronald is Master Program Manager, Cost Structure, Model Smart Factory and Sustainability, at HP.

The adage “the only thing constant is change” has never been more universally applicable than this past year – across the globe, across industries, across buyers. All manner of ways in which we work and consume has changed and continues to change, driving innovation, disrupting industries, and transforming buyers’ behavior. To survive, companies must follow the old adage: to remain a constant, they must change. Overnight, we shifted to work-from-home, and, after a few days to adjust and align, we discovered surprising benefits. By working remotely, we gained time by losing our commute, and we increased exponentially the number of meetings we could hold – and the number of people we could meet with – in a typical business day. Executives, customers, and decision makers were suddenly more accessible, and we could share a ‘face-to-face’ call in far more intimate settings, allowing us to meet family and pets, which in turn deepened relationships. Beyond productivity and a healthier work-life balance, remote work obliterated any constraints of geography, enabling companies to consider employees across the country and globe, thereby expanding talent pools, creating retention opportunities, and bolstering diversity efforts. Now, despite the easing of restrictions, published studies and employee surveys (even our own annual Tell Dell survey) show that many employees want and expect to continue to work remotely at least part-time. No surprise there, but it is important to note: These changes in preference and expectation are not limited to how we work; They apply to every aspect of our lives. In 2020, with never-before-seen speed, we adopted distance learning, telehealth, online entertainment, 3D printing of PPE, online grocery/restaurant orders, and digitally-enabled deliveries and curbside pickup – and we aren’t going back. Just like employees now prefer the flexibility of work-from-home, buyers now prefer – and expect – the flexibility of shop-from-home. While these changes were in progress well before 2020, the pandemic accelerated and normalized adoption, and now buyers approach business decisions with the same preferences, expectations, and behaviors of consumers. In fact, according to Gartner, by 2025, 80% of B2B sales interactions between suppliers and buyers will occur in digital channels.[1] Buyers have already embraced online research and digital buying. They expect authentic, personal experiences and relationship-driven online interactions. Like the consumers they are at home, B2B buyers are researching online well before they engage with a person. To survive, companies must meet customers where they are and how they want to buy: online. For marketing and sales, the handoffs have changed. In marketing, our messaging and content is touching decision makers and potential customers far before they meet with a sales rep. Enabled by artificial intelligence (AI) and enhanced analytics, sales teams will need to follow the data, and be ready to respond to buyers’ needs at the exact time they realize the need. At Dell Technologies, we have not only embraced this digital transformation change, but we are also leveraging marketing automation technology to help our partners learn and activate digital marketing and selling. We are training our sales and marketing teams while also providing enablement, training and support to enable our partners to navigate the new buyer’s experience. Our teams are organized to move quickly and lead through change so, together with our partners, we can address the ever-changing needs of our customers. Are you and your team ready for this change? Do you have the digital skills needed to adapt? Are your organizations agile and open to new ways of working? Do you have the right leaders in place to lead through change? Your buyers are in the driver’s seat: They determine if, when, and how they interact with suppliers. Are you in the right place at the right time to meet your customer if, when and how they want? To remain a constant – to remain in business – you need to embrace the change in your buyer and embrace the technology available to meet your buyers where they are – online. Join me July 13 at my session Digital Leadership – Embracing the Buyer Evolution at the SEMI Innovation for a Transforming World virtual event to learn more. Senior Vice President at Dell Technologies, Cheryl Cook spearheads development and strategy for the Global Partner Marketing organization. Beyond her main global responsibilities for branding, partner program marketing, channel events, partner communications, and MDF/BDF program investments and execution, Cheryl drives long-term partner marketing strategy, together with Dell’s Global Alliances, OEM, and global and regional business teams. A vocal advocate for the partner community, Cheryl is a 20+ year partner veteran, known as an innovative, collaborative leader who creates compelling business solutions that accelerate partners’ success. [1] Gartner Press Release, Gartner Says 80% of B2B Sales Interactions Between Suppliers and Buyers Will Occur in Digital Channels by 2025, September 15 2020.

The costs of production are typically based on labor and materials and define manufacturing expenses. But is this approach accurate enough? What about the cost of poor quality and lack of efficiency in production? How is the pandemic impacting semiconductor manufacturing and what can we expect from the future?SEMI recently spoke with Dr. Eyal Kaufman, founder and CEO of QualityLine, a Kiryat Gat, Israel-based provider of smart manufacturing analytics solution, about manufacturing controls and how to select the best data source to improve product quality and yield. Kaufmann provided a snapshot of current best practices used by the company to improve manufacturing efficiencies and product quality while reducing costs. He also discussed the COVID-19 pandemic’s impact on semiconductor smart manufacturing and how artificial intelligence (AI) can help keep factory workers safe.For additional insights on smart manufacturing, join the virtual SEMI Global Smart Manufacturing Conference, October 20 - 22, 2020. Registration is open.SEMI: Real manufacturing costs are calculated based on different aspects such as failures in production, repairs, products returned, scrap of components or late deliveries. Lack of quality and efficiency in manufacturing can undermine a business. How are you helping businesses overcome these challenges?Kaufman: To increase profit margins, it is essential to identify inefficiencies and what improvements to prioritize. Once manufacturing quality and efficiency deficiencies have been measured, the next step is to continuously collect manufacturing data in order to run the final cost analysis and use the analytics to improve the manufacturing process.Smart manufacturing makes it possible to detect anomalies in automated factories, improve production performance and increase profitability. Today, automated data are collected from every machine and piece of test equipment in the factory. Still, manufacturing data collection in many industries remains manual and expensive because of the time and human resources involved. A real-time analytics system can automatically collect all data sources and select the relevant data for analysis, which today is the most accurate and effective way of measuring and resolving quality and efficiency deficiencies.Data-driven decisions made by smart manufacturing reduce costs and improve manufacturing strategies, enabling factory operators to increase product quality, drive higher production capacity and enhance product design for manufacturability. Analytics solutions monitor shop floor operations accessing vendors and subcontractors’ products criterion to run root cause analysis. All those data will reduce the return rate of faulty products and accelerate return on investment. This is why we definitely need smart manufacturing technologies!SEMI: Data accumulated during the manufacturing process includes vital information about failures, anomalies and machine usability. What data are necessary to create the best analytics solution?Kaufman: Many companies today run data mapping and automatic creation of data capture. They often wonder if they need to use testing data, sensors data or product design data, or whether they should collect feedback from their customers and vendors. The best way to create an effective manufacturing analytics system is to use data sources such as: Feedback from customers (returned units, customers complaints, etc..) Testing data from automated test equipment and manual test activities Feedback from technicians repairing faulty units Analysis of testing processes done by vendors Sensors data Data from our ERP/MES systems Artificial intelligence enables any type and size of data structure, even accumulated data, to be automatically integrated and interpreted. AI-based analytics can also establish correlations between each manufacturing stage to help factory operators quickly conduct deep diagnostic and root cause analysis for problem solving and prevention – all while leaving intact a factory’s existing process, machinery and data output. Machine learning evaluates how a factory runs its database and puts all the information generated into an analytics solution that provides the know-how to continuously improve factory efficiency.SEMI: How do you select the best data source to improve manufacturing quality and yield? Kaufman: The accuracy and integrity of data accumulated in our manufacturing process is key to controlling and improving yield and quality while reducing manufacturing costs. Smart manufacturing is a technology-driven approach that uses digital and remote connected machinery to monitor the production process. The goal is to identify anomalies in manufacturing processes and leverage analytics to improve process yield and product quality.To select the relevant data, we collect each type and source of data that can improve the efficiency of a real manufacturing cell: Test data from Automated Testing Equipment Test data from Manual Testing Processes Analyses of repairing processes (failed units during the manufacturing process and units that were returned from customers) Once the data structure is collected, the next step is to turn it into actionable information in the manufacturing process. QualityLine smart manufacturing solutions provide a complete one-stop solution to interpret any manufacturing data structure. Our advanced manufacturing analytics solution detects quality and yield anomalies to reveal production line inefficiencies and opportunities to improve manufacturing quality and efficiency.SEMI: How would you describe your approach?Kaufman: Industry 4.0 in manufacturing claims to be the fourth generation of the industrial revolution. Advanced technologies like manufacturing intelligence and machine learning can efficiently achieve zero defects on manufacturing lines. Digital factories leverage technologies and methodologies including: Big data Self-optimization Self-configuration Self-diagnosis Cognitive and machine learning Smart manufacturing technologies enhance the manufacturing process by continuously collecting and analyzing data in real-time to achieve and maintain high quality performance. The goal is to achieve a significant increase in efficiency and yield while reducing waste and inefficiency.Until now, there has been no viable way to integrate all saved manufacturing data into a unified database. QualityLine advanced manufacturing analytics make it possible for any factory to become digital without installing new hardware, which can be expensive and require not only the extensive integration of existing data but investments in training. Our user-friendly solution integrates manufacturing data for industries with zero automation by first collecting and analyzing data from any type of manual test procedure and then integrated it into manufacturing analytics to improve efficiency.SEMI: Why are Pass/Fail criteria insufficient for controlling manufacturing yield and quality?Kaufman: Managing a mass manufacturing process is always a challenge because hundreds of tasks must be successfully completed before products can ship to customers. At QualityLine, we establish a test process for each stage of the production flow, from the incoming raw material to the final stage prior to the delivery of finished goods to the client. To prevent unexpected downtime incidents, waste and defective products, we collect and interpret every type of relevant data and turn it into meaningful information, setting up the following capabilities: Collection and interpretation of test and process data of each single unit and from each process and plant Automatic detection of quality and yield problems Accurate and quick root cause analysis process Automatic alerts to abnormal issues Prediction process potential and level of failures Measurement of key performance indicators Many manufacturers base their test criteria of each parameter on one key indicator – Pass or Fail. If the test result shows a Pass, then the unit is ready to move on to the next manufacturing stage. If the test result shows Fail, then the unit is sent to a technician for further analysis.A simple Pass or Fail criteria for product quality is far from sufficient since it provides little or no information about edge cases, where one or more of the technical parameters of the unit under test is only within its allowed tolerance. Edge cases may lead to unit failure during operation such as in extreme environments (cold, heat, humidity, electrical overload, impact, etc.). In fact, when running a mass manufacturing line, it is impossible to continuously digest all the detailed information collected from testing stations. Data is analyzed in detail only when a critical quality problem emerges and further analysis is required to understand the root cause.Information overload and the disregard of important parameters makes it hard to control the process and improve quality and yield. New technologies make fast and scalable data integration possible so data can be collected in real time to detect quality issues early, identify complex process disruptions to avoid delivery delays and ensure the best possible product for customers. Only by accurately analyzing data as actionable information can factory operators control the manufacturing quality process.SEMI: How has COVID-19 impacted the smart manufacturing market? How has your technology helped factories remain online?Kaufman: Smart manufacturing is playing a significant role by helping manufacturers overcome COVID-19 challenges such as workforce reductions, social distancing, drops in sales for some specific products and extreme pressure to cut operational costs.Manufacturing leaders turned to us for a solution to the challenges of maintaining efficient factory operations with a limited workforce and reduced number of operating hours. Filling factory orders with fewer people on the floor is a struggle. Digital factory technologies enable remote monitoring of operations to increase efficiency and capacity. We are helping our clients improve efficiency while reducing costs. Our remote monitoring technology can provide the operational visibility to floor managers and engineering teams who cannot go physically to the factories due to safety restrictions. With our advanced manufacturing analytics, they have full end-to-end visibility and can remotely diagnose and solve production line issues. During this critical time, we are proud to be improving remote monitoring solutions to help the industry withstand the pandemic. Some of our clients would have closed their factories otherwise. We’ve been working to integrate manufacturing data in factories that were previously unautomated to drive high automation levels. Integrating processes with existing factory data, regardless of customer’s protocols or automation level, is our great technology advantage.SEMI: How will manufacturing and its supply chains look after COVID-19?Kaufman: Smart manufacturing is currently a necessity. We collect and analyze data not only to improve quality but to reduce client returns of faulty products by 50% and reduce waste by 22%, both critical points. Manufacturing challenges will continue to accelerate advancements in technology and improve efficiency, safety and productivity as more factory operators incorporate real-time data analytics and artificial intelligence (AI). SEMI: Will suppliers continue to explore new avenues for smart manufacturing technologies and what are their growth opportunities?Kaufman: Yes, definitely. The sector has already changed, with COVID-19 bringing both opportunities and challenges. Industry leaders are facing new pressure, with sudden materials shortages, drops in demand and worker unavailability. The growth opportunities for manufacturing are likely to be digital, as already evident in the immediate response to the crisis. Industry 4.0 solutions will be crucial to increase end-to-end supply-chain transparency, automation and data integration. QualityLine manufacturing analytics have improved key manufacturing performance metrics. For example, based on customer feedback, we’ve increased production yield by 30%, saving some of our customers millions of dollars. Improvements like this can help suppliers withstand pandemics.Dr. Eyal Kaufman, Founder and CEO at QualityLine, has senior management experience and over 25 years of expertise in business development, marketing, finance, operations, engineering and quality management at leading industrial companies. Prior to QualityLine, he served as VP of Mobileye, Cardo Systems, and Medisim Ltd., as well as CEO of OnTheGo Systems. Eyal holds a Ph.D. from California Intercontinental University, an MBA from City University of New York and a BSc. from the Technion in Israel.The SEMI SMART Manufacturing Initiative is a global effort to promote awareness and interest about smart manufacturing with focus on delivering industry-recognized best-in-class programs and services to enable members to maximize product quality, productivity and cost improvements through smart manufacturing. Activities are focused on building out core capabilities to enable smart manufacturing across the microelectronics supply chain.MADEin4 is a consortium of 47 partners from 10 countries connecting the full range of supply chain: from semiconductor equipment manufacturers and system-integrating metrology companies to RTOS and key applications such as the automotive industry. The MADEin4 Project develops next generation metrology tools, machine learning methods and applications in support of Industry 4.0 high volume manufacturing in the semiconductor manufacturing industry.Serena Brischetto is a senior manager of marketing and communications at SEMI Europe.

Japan’s Prime Minister Shinzo Abe declared a state of emergency for Tokyo, Osaka and five other prefectures[1] on April 7 in response to a startling increase of COVID-19 infections in the region’s cities in an uneasy moment for its domestic semiconductor industry. The declaration, effective through May 6, authorized the six prefectural governors to strengthen curbs on the spread of the virus and included guidance for citizens to stay home and restrictions on operations of non-essential businesses.With Japan supplying some 40 percent of the world’s chip production equipment and materials, the declaration stirred fears among semiconductor manufacturers that their uninterrupted operations – critical to sustaining the global industry – might be at risk. Japan Government Designates Semiconductor Industry as EssentialIn April 7 and 11 revisions to its Basic Policies for Novel Coronavirus Disease Control, the Japanese government allayed those concerns by designating semiconductor manufacturers essential businesses – a stark acknowledgment of the chipmakers’ vital role in combatting the novel coronavirus. The policy stated:“Among medical and manufacturing industries, we request the continuation of the following business operators in consideration of infection prevention: operators who are difficult to stop production line due to the characteristics of the equipment (such as blast furnaces and semiconductor factories); and operators who produce essentials (including important items in supply chains) for protection of the people who need medical care and support, as well as for maintenance of social infrastructure. We also request the continuation of the business operators who sustain medical care, the lives of the people, and maintenance of the national economy.”[2]SEMI Japan Reaches Out to Prefectures to Urge Essential Business Designation Equipment and materials shortages can halt production of an entire fab line and ripple through intricately connected global supply chains to stifle the production of end devices including the electronics critical to COVID-19 treatments. Electronic devices also play a central role in containing the virus’s spread by enabling artificial intelligence (AI), data analytics, digital communications, telemedicine, robotics, remote health monitoring, telecommuting, online shopping and other digital services.The essential business designation was explicit recognition that Japan’s semiconductor supply chain is integral to the global chip production ecosystem and worthy of the same protections the government has implemented for semiconductor companies. With SEMI members operating in Japan’s 47 prefectures, I sent letters to all prefectural governors three days after the second policy revision, urging them to apply the same designation, and the SEMI Japan team is following up to secure their support.SEMI Japan Encourages Government to Exempt Members from Travel Restrictions The Japan Foreign Ministry on March 31 raised to level 3 its travel advisory for 49 regions including the U.S., China, Taiwan and South Korea, encouraging Japanese citizens to avoid travel regardless of purpose to blunt the international spread of the coronavirus. SEMI Japan is working with the Semiconductor Equipment Association of Japan to urge the government to exempt semiconductor supply chain companies from the level 3 travel restrictions if they implement measures to prevent domestic infections and contagion in the visited regions. The exemptions would allow supply chain companies to install and service equipment at fabs – one key to maintaining smooth, uninterrupted operations.SEMI Supports Members with COVID-19 ResourcesSEMI international headquarters and regional offices are here to help you, our members. For more information on our webinars, surveys, best practices and other information designed to help you meet the challenges of the pandemic, please visit the SEMI Coronavirus Updates Resources page.[1] The six prefectures are Tokyo, Kanagawa, Chiba, Saitama, Osaka, Hyogo and Fukuoka.[2] Provisional translation by Ministry of Health, Labour and Welfare. Full document is available at https://www.mhlw.go.jp/content/10900000/000620733.pdf.Jim Hamajima is president of SEMI Japan.

SEMI has urged government representatives around the U.S. and world to designate the semiconductor industry as an essential business so operations at companies across the chip supply chain can continue without interruption as the spread of COVID-19 continues. SEMI President and CEO Ajit Manocha assured the U.S. and global officials that SEMI members – the device makers and suppliers of chemicals, materials, components, design tools and equipment at the heart of chip manufacturing – “are employing all measures necessary to maintain the health and safety of their employees and local communities” to help contain the virus. Manocha last week sent letters to the governors of 16 states and the chairs of the National Governors Association, U.S. Conference of Mayors, National League of Cities, and National Association of Counties requesting consideration of the semiconductor industry as an essential business if shelter-in-place or similar orders are issued to curb the spread of COVID-19. More than half of U.S. states have imposed shelter-in-place or stay-at-home orders in the past month. The designation would allow SEMI members to maintain continuous operations to ensure that manufacturing of components for critical infrastructure equipment, the defense industrial base, and other vital technological products and services is not jeopardized. Semiconductors are the foundation of modern electronics and information technology and are critical in helping health workers effectively treat COVID-19 symptoms, Manocha told the officials. The devices also play a central role in containing its spread by enabling artificial intelligence (AI), data analytics, digital communications, telemedicine, robotics, remote health monitoring, telecommuting, online shopping and other digital services.Manocha urged state and local officials to follow guidelines issued on March 19 by the Department of Homeland Security (DHS) Cybersecurity Infrastructure Security Agency (CISA) identifying “manufacturers and supply chain vendors that provide hardware and software, and information technology equipment (to include microelectronics and semiconductors) for critical infrastructure as ‘essential critical infrastructure workers.’” Most states issuing shelter-in-place or stay-at-home orders have followed the DHS guidelines and/or separately designated the semiconductor industry an essential business. Likewise, other nations have recognized the power of technology in effectively containing COVID-19 and similarly designated the semiconductor industry an essential business.On March 27, SEMI, the Semiconductor Industry Associations in China, Europe, Japan, Korea, Singapore, Taiwan and the U.S., as well as several other trade associations in Asia issued a statement “calling on all governments to specify semiconductor industry operations as ‘essential infrastructure’ and/or ‘essential business’ to allow continuity in operations.” The global semiconductor supply chain forms a highly intricate network consisting of research, design and manufacturing operations. Operating restrictions in one region can compromise production in others, leading to inefficiencies and breakdowns that cascade across the supply chain.With semiconductors underpinning vital sectors of the global economy, the chip associations called on all global governments at all levels – central, states, provinces and localities – to help protect the uninterrupted operations of domestic semiconductor companies and their suppliers by applying the essential infrastructure or essential business designation.Joe Pasetti is Vice President of Global Public Policy and Advocacy at SEMI.