On 21 September, SEMI and a coalition of 40 industry organisations sent a letter to European Commission President Ursula von der Leyen calling for decisive action to solve implementation issues within the European Union Waste Framework Directive, specifically the Substances of Concern in Products (SCIP) database.The signatories, who represent a very significant part of the European economy, are requesting urgent resolution of implementation issues for the SCIP database, which is designed to support the circular economy as defined in the European Green Deal. The database is required under Article 9.1 of the updated Waste Framework Directive.In the letter, the signatories ask President von der Leyen to take immediate action to: Postpone the SCIP notification deadline of 5 January 2021 to at least one year after finalization of the database; Conduct a study on the usefulness, feasibility, proportionality and impact of the database; Instruct the European Chemicals Agency (ECHA) to adapt the SCIP database according to the outcome of the proposed study. ECHA failed to complete development of the database by the January 2020 deadline required by the Waste Framework Directive, leaving companies insufficient time to develop, test and adapt their own systems to meet the January 2021 SCIP notification deadline.Over the last two years, the signatories have repeatedly shared their serious concerns regarding the viability, proportionality and value of the SCIP database with the European Commission and the ECHA, yet those concerns remain unresolved.Contrary to the EU Better Regulation principles that call for open and transparent decision making, Article 9.1 was added to the revised Waste Framework Directive during the final stage of the co-decision process without any prior stakeholder consultation or impact assessment. A proper impact study should help shape the way forward to deliver on the EU ambition of driving a circular European economy.Coalition PartnersEmir Demircan is director of Advocacy and Public Policy at SEMI Europe.

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.

Earlier this year when the novel coronavirus, SARS-CoV-2, began sprinting around the world, public health officials told us that social distancing was the most effective way to slow its spread. We’re now many months into the pandemic, and social distancing, combined with mask-wearing, is still the best way to prevent new cases of the disease.On March 20, 2020, governors on opposite coasts, Gavin Newsom in California and Andrew Cuomo in New York, shut down their states, and other states soon followed. Only essential businesses, such as select retailers – grocery and hardware stores as well as pharmacies, for example – were allowed to remain open. Depending on location, however, it was days or weeks before strict social distancing measures were in place. Tape stuck six feet apart on store floors has helped shoppers keep their distance. But shouldn’t there be a more exact and reliable way to gauge social distances in retail stores, gyms, workplaces and other settings?David Horsley, founder and CTO of Chirp Microsystems, a TDK Group company, believes so, and the company is developing technology that does just that. Horsley will share the details in his keynote A Wearable Social Distancing Solution Based on Ultrasonic Time-of-Flight Sensors October 14 at MSEC 2020, SEMI’s first virtual MEMS Sensors Executive. The event is October 6-8 and 13-15, 2020. Register now for MSEC 2020.I spoke with Horsley to learn more about the sensors.SEMI: What was the inspiration for providing Chirp’s ultrasonic Time-of-Flight (ToF) sensors for social distancing?Horsley: Companies actually started contacting Chirp about six months ago to inquire about social distance tags to measure distance between people. They already knew about us because we’ve been supplying MEMS ultrasonic ToF sensors for virtual reality and robotics for several years, so they knew we could provide the same kind of low-power range-finding accuracy for resource-constrained devices. SEMI: How are your customers using Chirp-based social distance tags?Horsley: They’re designing Chirp’s ultrasonic ToF sensors into wearable tags worn by workers in distribution centers, in factories, and in oil and gas production, to name a few areas. The tags alert workers when they’re closer than two meters from another worker to ensure social distancing. Chirp’s ToF sensors also support contact tracing without recording any personal information, which is a major advantage over contact-tracing applications from companies like Google and Apple. Because those apps use Bluetooth Low Energy (BLE), which is already in your smartphone, the user has to enable location services. This records your GPS location, a privacy concern.BLE is problematic on some other levels as well. It only provides one-meter accuracy while Chirp’s ToF solution for social distancing delivers one-centimeter accuracy. Because BLE is only accurate within one meter, it can’t alert you in real-time that you’ve crossed that two-meter boundary to another person. Imagine you’re in the checkout line at the supermarket. BLE can tell you that other people are in your general vicinity, but it doesn’t have enough resolution to tell you whether the next shopper is two meters away from you or only one-and-a-half meters away. And because it doesn’t use the air as a medium, it registers a lot of false positives. If, for example, you’re separated from a person by a partition or a wall, and you’re within two or three meters of each other, your phone’s social-distance app will register a false positive.SEMI: Are you talking with customers in other environments, such as college campuses and theme parks?Horsley: There’s great deal of potential in those markets. For example, Professor Prabal Dutta’s group at UC Berkeley is working on a system that uses our sensors. His work also made us aware of some of the privacy concerns around contact tracing because universities are much more uneasy about student privacy than some private-sector companies are today. SEMI: What would you like MSEC attendees to take away from your presentation?Horsley: From the beginning, we believed that MEMS ultrasound was very versatile. We expected it to find a home in different types of applications because of its low power, small size and ease of use, particularly since we provide the enabling software that makes it all work. With design wins in four to five vertical markets, we’re experiencing significant marketplace validation. We’re all hoping that COVID-19 will wind down in the first half of 2021. As the focus on social distancing begins to fade, we’re looking forward to building out our customer base in the markets we’re in today as well as gearing up to explore new markets.Chirp Microsystems and TDK InvenSense are longtime members of MEMS Sensors Industry Group® (MSIG), a SEMI technology community that connects the MEMS and sensors supply network in established and emerging markets, enabling members to grow and prosper. Visit us today to learn how MSIG membership can make a difference in your business.David A. Horsley, Ph.D., is co-founder and CTO of Chirp Microsystems Inc., a TDK Group company. Horsley is also a professor of Mechanical and Aerospace Engineering at the University of California, Davis, and is adjunct professor of Mechanical Engineering at the University of California, Berkeley. Since 2004, he has been co-director of the Berkeley Sensor and Actuator Center (BSAC), the National Science Foundation’s Industrial/University Collaborative Research Center (I/UCRC) focused on MEMS research. Horsley is also a recipient of the National Science Foundation’s CAREER Award, and has authored or co-authored over 150 scientific papers and holds over 20 patents.Maria Vetrano is a public relations consultant for MSIG, a SEMI technology community.

While the world awaits a working vaccine to protect us from COVID-19, we need to employ all available tools to help curb the spread of this novel virus. On the one hand, it’s remarkable that we’re relying on the same low-tech tools that our forebears used to moderate the pandemic of 1918 — social isolation, mask-wearing and hand-washing. On the other, we have access to numerous technologies that hadn’t even been invented a century ago. Among the most important is molecular diagnostics for advanced testing.While we continue to face a scarcity of test kits in the U.S., the majority of commercially available genetic tests for COVID-19 are reliable, so accuracy is rarely the problem. We’re hampered instead by the timeliness of getting the results and by the level of detail the tests provide.To save more lives and reduce the burden on our healthcare system, we need point-of-care genetic tests that deliver accurate results rapidly, telling us right away who’s positive and who’s negative. We also need pertinent test data shared as quickly as possible via secure networks to improve our ability to track surges in infections. These are two of the challenges that emerging biotech companies are pivoting to embrace. RT-PCR: The Gold Standard in Accuracy, Not SpeedWhen I read about some of the high-quality COVID-19 tests on the market – such as Abbott’s, which detects positive results in as little as five minutes — I am awed by how far we’ve come since the last global pandemic. The core enabling technology in test platforms such as Abbott’s uses the molecular genetics technique real-time reverse polymerase chain reaction (RT-PCR). The vast majority of rapid tests administered today in hospitals and other clinical settings use RT-PCR.While accuracy is high for RT-PCR tests, getting tests results to patients is slow because test samples are sent to the lab for analysis. That lab could be located in a hospital, in a doctor’s office, or in an urgent care facility run by a large company such as Quest Diagnostics. Regardless of location, each lab must have an RT-PCR machine to read the test results. Plus each RT-PCR machine costs thousands of dollars, and requires a technician to read the results, , factors that have limited the proliferation of these machines.New COVID-19 cases are still surging in parts of the U.S., India and Brazil, and in some areas, we’re seeing instances of inundated labs, with test results coming back in one to two weeks. That’s not fast enough for a virus this contagious. We need to get accurate tests results to healthcare providers, public officials, and patients as close to real-time as possible. To meet this goal, we need to apply molecular-diagnostic techniques to new types of biosensors that deliver test results at the point of care in minutes through platforms that send that data in near real-time to the cloud. This essential information will allow public health institutions, states, cities and other key stakeholders to identify and mitigate emerging hot spots of disease.Over the past seven months, we’ve had the privilege of working with a handful of biotech companies that have pivoted to develop rapid point-of-care molecular diagnostics that target COVID-19. One of these, HEMEMICS, is developing a handheld molecular diagnostic test platform that could be administered by healthcare workers in triage settings such as ambulances, emergency rooms, community clinics and makeshift hospitals. As a true point-of-care test platform, it would deliver results onsite, without requiring the transfer of test samples to a lab. “We’re aiming to redefine point-of-care testing for COVID-19,” said John Lehman Warden, Jr., CEO and co-founder, HEMEMICS. “Unlike the most common type of on-site test — the lateral flow monitor — our test isn’t waiting for osmotic reactions to occur. We place the sample from a quick nasal swab or a drop of blood right on-chip, and binding takes place within a standing drop of fluid. That makes our platform fast, delivering results in about 60 seconds. Plus it simplifies sharing test results with other communities of interest, such as public health departments and municipalities, because it’s Bluetooth-enabled and supports cloud-based management networks.”As its foundry partner, we’re collaborating with HEMEMICS as it continues to refine its biochip’s sensitivity for both antibody and antigen testing of SARS-CoV-2. Once HEMEMICS is satisfied, it will move forward with the U.S. Food and Drug Administration’s (FDA’s) emergency use authorization (EUA), which it hopes will bring the HEMEMICS platform into the hands of the millions of people who stand to benefit.As we head into the fall and winter months, we’ll need both rapid, connected point-of-care biosensor test platforms such as HEMEMICS’ and high-accuracy RT-PCR tests to fight COVID-19 effectively. And at their root, we’ll have MEMS and biosensors to thank. For more information on Rogue Valley Microdevices’ biosensor solutions, please contact the company at [email protected] or visit its website. As founder and CEO of Rogue Valley Microdevices, Jessica Gomez has created a world-class precision MEMS foundry in the heart of Southern Oregon. Integral to her role as CEO, Gomez practices a business philosophy of offering best-in-class process technology and R D expertise to customers to help them achieve the highest quality and reliability in their products. Gomez plays an active leadership role within and beyond the technology industry. She is a board member of the prestigious SEMI Board of Industry Leaders, she was the first executive selected for Spotlight on SEMI Women, and she is chairman of the Oregon Institute of Technology Board of Trustees.Rogue Valley Microdevices is a longtime member of MEMS Sensors Industry Group (MSIG), a SEMI technology community that enables the MEMS and sensor industry to address common challenges, innovate and accelerate business results.

Solving challenges in semiconductor manufacturing requires an ongoing collaborative effort by customers, device makers, equipment and materials suppliers, and academia. ASMC 2021 will continue efforts to help the industry overcome these hurdles. To that end, we are now soliciting abstracts from industry experts across all areas of semiconductor manufacturing for presentations at the event, May 3-6, 2021 at the Saratoga Hilton/Saratoga Springs City Center in Saratoga Springs, New York.The conference provides an unparalleled platform for semiconductor professionals to network and learn the latest information in the practical application of advanced manufacturing strategies and methodologies. ASMC 2021 will be co-chaired by Ishtiaq Ahsan, Ph.D. of IBM Research and Alexa Greer of KLA.We’re looking for presentations in topic areas including the following: Advanced Metrology Advanced Equipment Processes and Materials Contamination Free Manufacturing Big Data Management and Mining Defect Inspection and Reduction Equipment Optimization Factory Automation Industrial Engineering Smart Manufacturing Yield Methodologies Click here to submit an abstract for a technical presentation. Provide an extended abstract of no more than two pages (max. of 1000 words, MS Word or PDF) with supporting data, charts, figures embedded in the last page. See author kit for details. Summarize the topic and theme in as much detail as allowed by the word count limitation. Include title, author(s), company affiliation(s), contact information, topic and five key words describing the work. The final technical manuscript must show a complete set of data to support initial abstract. Here are key deadlines and dates for industry experts to keep in mind: Abstracts Due: October 30, 2020 Author Notification: December 15, 2020 Manuscripts Due: February 9, 2021 Final Manuscripts Due: April 6, 2021 Presentations Due: April 20, 2021 Conference Dates: May 3-6, 2021 ASMC 2021 could be held as a virtual event depending on progress in containing COVID-19. Whether the event is on-site or virtual, all abstracts accepted for presentation will be published by IEEE. Speakers should be prepared to present live or online.Speakers also may be invited to publish their papers in a special section of ASMC 2021, which will be featured in IEEE Transactions on Semiconductor Manufacturing. All technical presentations will be considered for the ASMC Best Paper Award sponsored by Entegris. Students presenting an oral paper or poster will be considered for the ASMC Best Student Paper Award sponsored by GLOBALFOUNDRIES.For a complete overview of topics and other information, please visit the ASMC 2021 Call for Papers web page.Margaret Kindling is senior manager of Programs for SEMI Americas.

Even though microchips continue to get smarter, vital security gaps continue to be exposed through such hack attacks as Meltdown, Spectre, and in recent weeks, Plundervolt. Researchers continue to discover open doors in chip architectures for malicious players to steal increasingly sensitive data, hide the identity of counterfeits, or tamper with electronics systems most anywhere along the global microelectronics supply chain. Today, it’s impossible to have full visibility of the distributed chip making process – from design and fabrication to packaging, testing and delivery. That’s why our industry’s future hinges to a large degree on establishing a hardware root of trust throughout the silicon’s operational lifecycle. Trust but verify! It’s easy to say, but how do we do it?To gain insights, SEMI interviewed Dr. Mark Tehranipoor, currently the Intel Charles E. Young Preeminence Endowed Chair Professor in Cybersecurity at the University of Florida’s Electrical and Computer Engineering Department. A foremost authority on microelectronics security and trust, counterfeit electronics detection, and supply chain risk management, Dr. Tehranipoor will be a keynote speaker at the SEMICON Taiwan Security on Chip Summit, Friday, September 25, where a full program of industry leaders will address key security challenges and solutions involving IoT, systems on a chip (SoCs), integrated circuits, physical unclonable function (PUF) technology, future design, certifications, managed services, and more.For additional insights and to hear Dr. Tehranipoor’s full presentation, register for SEMICON Taiwan 2020, which SEMI is holding as a hybrid event with both a virtual format and an in-show program September 23-25.SEMI: What are the major uncertainties in providing the hardware root of trust within the cyber domain?Tehranipoor: One of the most critical issues we’re dealing with now is loss of control over the process of designing and fabricating integrated circuits and systems. This has happened along with globalization and the movement of supply chain operations overseas to lower costs of nearly all goods, including electronics products and semiconductors. As skill sets, talent, design and fabrication have all shifted offshore, concerns have also risen about security controls across the many different segments of the microelectronics supply chain.For example, when you think about the security of military, space, transportation, power grids, financial or other networks, it becomes a major concern if you cannot trust the underlying electronics system that runs them. New SoCs are also holding more sensitive data around encryption keys, biometrics, personal information or banking data. And as reports escalate about cybersecurity gaps at the electronics part level, it’s increasingly important to establish a hardware root of trust. Today, it’s not enough for a buyer to just call up the design house and verify the electronic ID of an asset. The ID might match, but the device could have been tampered with or replaced with a counterfeit somewhere along its end-to-end journey. Unlike software or networks where problems can be automatically identified, upgraded and fixed, verifying electronic hardware is a costly and time-consuming process, especially when they’re as complex as microchips. It can take months to deconstruct, reverse engineer, inspect, and authenticate a chip. By then, discovery of any security breaches is too late.When addressing the security of electronics systems, there are three important features to keep in mind. First, there’s confidentiality. The device shouldn’t leak information to an unauthorized user. Second, there’s integrity. Unauthorized users should not be able to manipulate an SoC’s sensitive data. The third feature is availability, which can be a result of Denial of Service (DoS) attacks. If the device is under attack and can’t access your online service or network, you must still have security measures for your electronics system to be available in a safe mode while you simultaneously identify the problem, recover from it, and return to normal functions.SEMI: What framework should be followed to establish greater trust and confidence across the entire microelectronics supply chain?Tehranipoor: In the United States, we recognize it may not be possible to bring all manufacturing, design, and delivery teams back to this country and have them certified by the U.S. Department of Defense. You could do some of it, but it would be very costly and complex to bring back all the design, fab, testing, and packaging operations involved with electronics systems and still have complete control.The most practical approach is to make sure we design electronic systems with security and trust in mind from the start. We need to provide security features up front throughout the extended supply chain – into the design flow, fab flow, and out into the field to make it easier and faster for anyone at any point to verify the authenticity of an electronic system as well as identify and mitigate a problem. Finally, we have to remember that we are all in this together – designers, developers, packaging facilities and fabs. We can’t just blame semiconductor manufacturers or any other single entity. As a result, we must be cooperative and collaborative by focusing on this issue as a consortium. Everyone in this ecosystem must come to the table, share best practices, establish standards, and initiate best practices for device to system authentication.SEMI: How can SEMI and the SEMI Electronic System Design (ESD) Alliance help the industry meet these challenges?Tehranipoor: It’s certainly of utmost importance for members of organizations like SEMI and its ESD Alliance committees to jointly develop and adhere to standards or guidelines that establish hardware root of trust across all participants in the global supply chain. At the same time, such alliances should make it a high priority to protect each company’s intellectual property (IP). Collectively, we need resolutions that allow us to develop unique IPs and more easily trace, identify, and verify the authenticity of electronics systems as they flow throughout the end-to-end electronic supply chain. Great efforts are under way and progress is being made. But it’s not enough. Clearly, more needs to be done to establish root of trust standards at the chip level.I can’t emphasize enough the importance of consortia like the SEMI ESD Alliance to create an environment where industry, government, and academia can come together, share best practices and even case studies on how they handled security vulnerabilities and breaches. We understand that not everyone wants to share their security problems, vulnerabilities, or attack surfaces, but learning from each other’s experiences can have a tremendous impact on industrywide progress. If you don’t know what you need to address, you won’t be able to address it when it happens.I also encourage organizations like SEMI to create standards or guidelines that reduce the complexity of microchip designs for security purposes. Realtors often say there are three things to consider in finding a home that will appreciate in value: Location, location, location. To build more secure electronics systems, my mantra is: Automation, automation, automation. Complexity is the enemy of security. By using automation to simplify security mechanisms and detect inconsistencies, it will be easier to find and fix security problems, not to mention lower costs at the same time. SEMI: What will an attendee take away from your talk at SEMICON Taiwan?Tehranipoor: I have a large team of researchers who day and night spot vulnerabilities by attacking and assessing data from different electronic systems set up in our labs. Attendees will see real-world examples and lab animations that show how electronics systems can be hacked most anywhere across the supply chain. They will also learn about step-by-step security solutions we have developed at the microchip level. We need to do a better job of protecting the security of our semiconductor assets and the electronic solutions or services they power. My call to action will be that we need to invest more in research and foster an environment of more open trust and cooperation. We can do this by bringing together different countries, companies, and organizations in the microelectronics ecosystem to overcome this major challenge.Dr. Mark Tehranipoor is currently the Intel Charles E. Young Preeminence Endowed Chair Professor in Cybersecurity at the ECE Department, University of Florida. He is currently serving as Director for Florida Institute for Cybersecurity Research (FICS), National Microelectronics Security Training Center (MEST), CYAN Center of Excellence, and ECI Transition Center. He also serves as Program Director of Cybersecurity for UF Herbert Wertheim College of Engineering. His current research interests include IoT security, hardware security and trust, and reliable circuit design.Samer Bahou is senior manager of corporate communications at SEMI.

Every Friday I try to clear out my inbox. It’s a small way to feel like I’m on track with all the different projects we have going on at the SEMI Foundation. As I’m doing that, it’s rare that I’ll open a marketing email about a webinar, webcast, or industry event unless it’s incredibly compelling.One of them did catch my eye last week, from VLSI System Design for its VSDOpen2020.And the email did more than catch my eye. We jumped on the phone with the founders and ended up collaborating with them and the ESD Alliance on the event.The company specializes in training students in chip designs. That’s a great fit for the work we’re doing on your behalf at the SEMI Foundation and SEMI. And the VLSI System Design event is a free, online, one-day set of sessions that focus on designing digital and analog IP using freely available resources.If you have time on Saturday, October 10, I’d encourage you to check it out. They’ve got some great keynote speakers (see below), five IP designer tracks, educational sessions, and they’re even showcasing IP designed by students!It’s a great way to see some innovations in design, interact with students, and make some new contacts in a virtual setting. Below are more event details. Registration is now open.VSDOpen 2020 – Saturday, October 10Keynote speakers Jan Rabaey, the Donald O. Pederson Distinguished Professorship at the University of California at Berkeley, will offer a look at Computation in the Post-Moore Era: Reflecting on the Role of Open Source. Naveed Sherwani, Chairman, CEO and President of SiFive, will describe RISC-V and open source hardware – A golden opportunity for the India semiconductor industry. Michael Wishart, Co-Founder and CEO of efabless, will address Applying Community Models to ICs: Why and How. In addition, Jeremy Bennett, Chief Executive of Embecosm, will deliver an industry talk on A brief history of open hardware: Learning from the free and open source software movement. And Sunita Verma of the Ministry of Electronics and Information Technology will give a presentation on India’s initiatives in electronic system design and manufacturing.There are also networking opportunities for designers, researchers, tool developers, and students. If you want to go deeper, join the lab-based workshops offered in the three days (Oct 7-9) leading up to the event.Check out the full program for more on specific sessions.Shari Liss is executive director of the SEMI Foundation. She oversees SEMI Workforce Development programs from K-12 through re-skilling for veterans.

Teck Khiong, WOI, senior manager of Factory Integration at Infineon Technologies Asia Pacific Pte Ltd, recently shared with me how the Infineon backend plant in Singapore has benefited from its journey to qualify for the lighthouse certification.WOI is driving Infinion smart manufacturing projects with a strong focus in the area of connect and control using IoT (Internet of Things) and analytics technologies. Ng: How did the Infineon backend plant in Singapore distinguish itself to qualify for lighthouse certification? WOI: The Infineon Singapore backend manufacturing plant is proud to be a Lighthouse Certified Smart Manufacturing site as part of the World Economic Forum’s (WEF) Fourth Industrial Revolution platform. Our Industry 4.0 (I4.0) implementation reduces labor costs by 30% and improves capital efficiency by 15%. We drove this successful digital transformation continuously investing in our people development and digital backbone.Of the many initiatives under our I4.0 Smart Factory platform, five were selected for WEF Lighthouse submission and certification. Digital foundation with integrated connectivity and workflow execution We implemented an Internet of Things (IoT) framework to connect machines to manufacturing system more than two years ago. The digitization of our Work-in-Progress (WIP) management systems provides full traceability and gives us better control of the four Ms (Man-Machine-Method-Material). Material handling and process automation We progressively deployed automated solutions starting six years ago using autonomous transport, robotic material management systems and automation of packing processes. This eliminated non-value touches in areas of WIP storage and retrieval. Advanced algorithms enabled WIP scheduling and dispatching As our product mix and volume grew in complexity, our advanced algorithms has enabled us to increase our machine uptime, thus reducing idle and set-up time. Manufacturing control tower Our control tower provides a real-time pulse of the entire manufacturing process, from machine efficiency to quality. The tower also improves data integrity and collaborative information sharing while issuing early-warning alerts that enable exception management and timely decisions. Running a global virtual factory Our Global Production Network deployments allows us to connect and manage a growing contract-manufacturing network in real time, with the same transparency, traceability and control as if the manufacturers are our internal sites.About Teck Khiong, WOITeck Khiong, WOI graduated from Loughborough University in the UK with a Master of Science degree in Computer Integrated Manufacturing (CIM). For more than 20 years he has delivered manufacturing IT solutions to global backend (assembly and test) semiconductor manufacturing, ranging from equipment, factory, process control, material handling automation and manufacturing execution systems (MES).

Although the semiconductor chip and capital equipment markets performed well in the first half of 2020, many of the electronic equipment end markets struggled globally. World electronic equipment sales declined almost 10% in 2Q’20 vs. 2Q’19.