semiconductor industry

SEMI spoke with Andreas C. Zimmer, Executive Search and Selection Consultant at ZIAN Co industrial consulting and recruitment, about strategies for attracting and retaining talent and promoting careers in semiconductor industry. Zimmer shared his views ahead of his presentation at the SEMI Fab Management Forum, 17 February, as part of the SEMI Technology Unites Global Summit, 15-19 February 2021, an online event. Join us to meet experts from ZIAN Co. and other key industry influencers. Registration is open. SEMI: What makes the semiconductor industry such a great career destination? Zimmer: The semiconductor industry is an interesting world for anyone involved in or just fascinated by high-end technology. But if we think about our mobile phones, personal computers or cars, we should all ask ourselves what technology is behind these devices we use in our daily life. The classical Newtonian physics does not reveal the source of the pixels in our mobile phones or why a navigation system knows where I currently am and how I’m supposed to drive to avoid the traffic jam ahead. The semiconductor industry truly is the technological pacesetter. The technologies and applications developed by SEMI and its members are the multipliers directly impacting our daily life. Moore's law not only affects the development of chips themselves, but also how we use the applications and devices they enable. Think about the size-performance ratio of modern smartphones compared to the first- and second-generation devices in the 1970s and 1980s, or compare today's BMW with one from the 1960s. The problem is that the industry is too hermetic. We perceive a lack of willingness to go out and tell in a generally understandable way what this industry is all about! Everyone knows Apple, Samsung, Nokia, but who, besides the specialists, knows NXP, Infineon, TSMC or LFoundry? Many companies are largely unknown to the general public! So why should a graduate from a technical university choose a company such as Applied Materials, TEL or ASML? During their studies students will inevitably have come in touch with IC or MEMS companies, but do they also know what is behind them? Do they really know the value chain that leads to the end product? SEMI: What can the chip industry do to better attract talent? Zimmer: Our industry is extremely attractive for anyone who is interested in technology and would like to push things ahead, but unfortunately access to this industry is almost reserved to the initiated who, in whatever way, came in touch with the industry at some point. Let me get this straight: This is not a conscious, willful attitude. It is just the result of our industry’s hermetic attitude. In my opinion, there is no overarching, uniform strategy in marketing, communications or advertising to promote the potential of the semiconductor industry to a wider audience. That’s why SEMI and the cooperation of its members in attracting talent is essential. SEMI: What concrete actions do you suggest for attracting and retaining talent? Zimmer: In German there is the saying “Do good and talk about it!” – and this is exactly what should be implemented. It is not enough to place an ad when necessary, to promote something here and there, perhaps to sponsor a chair or to provide a device free of charge. These are certainly all reasonable actions, but rather random and not long-term or strategic. Furthermore, these actions will reach only a relatively small group of people. The industry should organize structured recruitment activities under a long-term plan, over 10 years or even extending to the next generation. This shouldn't be a rigid corset, but rather a guideline closely informed by the chip industry’s technology roadmap and companies across the supply chain. If it is the task of an organization’s board and the management to define the strategic direction and to set specific goals, it should be the task of technical management to ensure that these goals can and will be achieved. However, this will only succeed if human resources is involved from the very beginning and can plan appropriate personnel resources accordingly. Employees retire, quit and change employers. New materials, technologies, applications and processes are being developed and require new, specific knowledge. Market requirements change. All of these components need to be recognized and considered in early planning. SEMI: What is your experience as a consultant? Zimmer: As consultants, we experience how organizations literally fall out of the clouds when the situation within the organization itself drastically changes, because a strategically important colleague is retiring or suddenly leaving the team for whatever reason. Then, quite surprisingly, the question “Where and how quickly can we find the suitable replacement?” arises. Instead, that departure should be considered as a possible development up front in overall talent planning – a plan B to keep in the drawer. Developing and implementing a long-term HR development roadmap, aligned with the technology roadmap, enables a company to anticipate when specific resources are needed, identify the right people and get them onboard without gaps. It is also important to keep your team informed and involved in all decisions and process changes, and to make sure they get the respect and appreciation they deserve. Employer-employee cooperation over the long term only works when the relationship is a win-win for both parties. If an organization sees the relationship as one-sided to its exclusive benefit, sooner or later the worker will be terminated or quit at the expense of the organization. Truly live the statement “Our people are our best and most valuable resources!” SEMI: When should organizations start attracting young talent? Zimmer: The sooner, the better! Communications aimed at attracting future employees should be designed to reach people of all ages and levels of education. For many years, the tobacco industry targeted young people by demographic, considering their age, education and cultural mindset to ensure they perceived cigarettes as cool. The result? Many people became addicted, mostly for life, just because some clever communications expert touched the right spot! Our industry will not attract teenagers like tobacco corporations did, but the strategy is basically the same: arouse the curiosity of your target group and speak their language. A possible scenario: A company starts and establishes a relationship with neighboring technical, middle and high schools by providing equipment, documentation, and employees who serve as teachers or coaches, and organizing guided tours, seminars and workshops in coordination with the school management. The cooperation continues with the university, where the respective chairs are supported and financed. With a little creativity there are endless possibilities! In our day-to-day business, we observe that large, well-known companies such as Bosch and Daimler are practically sitting on the lap of students in key universities and institutes, yet are unable to identify talent very early and bind them to their company. SEMI: How can organizations capitalize on shifting retirement patterns to help narrow their talent gap? Zimmer: The answer to this arises from considerations related to personnel planning in connection with a company’s technology roadmap. If the roadmap is linked to HR plans, you automatically have an overview of the time-critical moments when personnel gaps might arise. Then you can easily close these gaps, for example by arranging the onboarding of a successor for a specific position long before the job holder leaves. Considering notice periods and approval processes, a period of at least two years should be planned in order to be prepared for personnel changes. Of course, much of this varies depending on the importance of the position to the organization and the size of the talent pool. For example, it will probably be easier and faster to hire and train a sales engineer than the successor for a development manager, when you know there are maybe only 10 people worldwide who are, professionally speaking, at his level. And this is equally true for internal promotions: Always keep an eye on your own people and try to discover their greatest talent! Senior people tend to look outside the organization rather than just around the corner. Maybe the right talent is sitting next to you. Stay tuned and talk to your people to implement a strategic knowledge transfer as part of your organizational culture. Another aspect that is often overlooked is the deputy function: We often find functions in organizations that literally have a unique selling proposition. But there is no deputy, no one who can step in case of an emergency, because no other colleague possesses the knowledge and information to take over if necessary. Usually this is not a problem during a vacation or illness, but what do you do if a key job holder suddenly cannot work from one day to the other? SEMI: What is the role played by artificial intelligence? Zimmer: AI is both a risk and an opportunity. A new technology can always mean danger if it is used incorrectly, and I am not talking about job losses! This has always proven to be a mistake in the past. On the contrary, new technologies create new jobs! New technology accelerates communication, creates new platforms for interaction, shortens decision-making processes, and turns the world into a small village. In your interview with David Meyer CEO of Lynceus, he hits the nail on the head: The great advantage of AI in our industry is likely to be the management, handling, analysis and drawing of conclusions from an incredible amount of information at an unbelievable speed. Without AI, information cannot be controlled to this extent, not to mention accurately evaluated in real time. The mastery of these processes and the learning curve that results from them – for example for the determination of quality levels – should set completely new manufacturing standards. SEMI: How can technology unite us? What do you expect from your participation at SEMI Technology Unites Global Summit? SONAR GmbH has been in this industry as a personnel and business consultant firm for 25 years now. We have experienced many pig cycles since 1995 and accompanied our customers through all the ups and downs, only to have learned one thing in the end: The semiconductor industry is unfortunately still too fixated on technology and overlooks the fact that this technology is made by people for people. The EU's latest Pact for Skills, which was presented at end of November 2020 by Commissioners Schmidt and Breton, foresees 2 billion € investment to generate 250,000 new jobs in the electronics industry throughout Europe! In 2013, we aimed to sensitize semi industry executives, managers and CEOs to the importance of human resources to the well-being and success of organizations. It’s vitally important to invest in day-to-day relationships with your employees to foster their careers and address their needs. The SEMI Fab Management Forum will feature leading game changers of semiconductor operations to highlight best practices for achieving sustainable operations beyond 2020 and exploring the latest solutions for smarter tools and smarter processes. Andreas C. Zimmer is executive search and selection consultant at ZIAN Co industrial consulting and recruitment, specializing in recruiting talent for high-end technologies in areas such as LED, PV, semiconductors, electronics, and test and measurement. A personnel and industrial consultant with more than 20 years of experience, Andreas is active throughout Europe, the United States and Asia. For more insights about workforce and skills strategies, please see SEMI Workforce Development activities and the European METIS project. Serena Brischetto is senior manager of Marketing and Communications at SEMI Europe.

Nexperia became a standalone company about four years ago after our divestiture from NXP Semiconductors. Last year we started our journey towards smart manufacturing at our back-end factories in Asia by developing a roadmap to help steer us in the right direction.Our first step to creating a convincing and workable smart manufacturing roadmap was to define the very meaning of smart manufacturing to Nexperia. Since the definition of smart manufacturing varies widely, we started by looking at two different and distinct technology adaptations: Physical automation Data-driven manufacturing, or using analytics at the core to develop and adopt machine learning and artificial intelligence (AI) models It is important to find the right balance of investments between physical automation and data-driven manufacturing to steer clear of deployment inefficiencies since only connected solutions deliver full value. Our approach involved the following high-level steps. Meeting with internal management teams for their inputs and examining factory needs and maturity Meeting with other semiconductor factory operators, subcontractors and partners to review their smart manufacturing approaches and challenges Evaluating our needs and status against the Singapore Smart Industry Readiness Index model Physical AutomationEvaluating the maturity of available solutions and adaptions by the industry and our own shop floor helped simplify the thought process quite well. Logistic automation is not new. Very mature solutions, even for custom layouts and preferences, are readily available. Shop floor automation is far more difficult than logistic automation since variability is simply too high. Traditional shop floor investments were always driven from quality or OEE perspectives and not necessarily very well connected. Our approach is outside-in – deploy logistic automation first and then move to the shop floor.Data-Driven ManufacturingHow smart manufacturing becomes depends on the extent to which a factory is data-driven. Enabling data-driven manufacturing requires foundational investments to improve traceability, connectivity and real-time operations. We believe real-time awareness can drive machine-level and closed-loop process control critical for predictive, cognitive control of the shop floor.Real-Time Awareness and Traceability is at the CoreDeveloping real-time awareness requires wide-ranging manufacturing protocols. The following focus areas have helped us simplify the challenge: Connectivity Core systems for areas including MES, quality and SAP Analytics and AI Digital shop floor featuring one operator interface with real-time control systems Readiness of engineers, technicians and managers Each of these pillars has different level of complexity due to legacy equipment and systems, legacy processes and inexperience of engineers with automation. This makes deployment of data-driven operations a complex challenge. We looked at different project approaches for each of the focus areas: Core Systems – Build additional technology enablers and roll them out with prioritization planning. Analytics – Focus mainly on OEE and yield with automated root cause analysis and predictive approaches. Real-Time Control – Merge the initiative with factory-level programs to improve productivity and quality. With a strong smart manufacturing roadmap, the next challenge is to secure long-term buy-in on the plan and required investments from executive management. Visiting and otherwise connecting with peer sites that have already deployed smart manufacturing infrastructure is vital in this effort. Thanks to SEMI members, we were allowed to visit their factories with our management team for go-and-see tours since seeing is believing in the smart manufacturing journey. Our executives also met with subcontractors and vendors to better understand the value of this transformational undertaking.A long-term outlook is necessary to successfully develop a smart manufacturing roadmap, and executive commitment goes a long way to ensuring its success. We are excited about our smart manufacturing journey and believe it is a game changer for our factories.Adarsha MARPALLI is director of Factory Automation at Nexperia B.V.

If you think the world is flooded with a mind-boggling volume of digital content, then you might be just a amazed to learn about the sheer wealth of information and business opportunities that will be uncovered at this year’s SEMICON Japan as the event goes full digital.To start, more than 160 companies will exhibit their semiconductor manufacturing gear and services on the virtual show floor of Japan’s premier event for the semiconductor manufacturing and design supply chain. Add to that over 80 presentations and panels that feature global industry executives, visionaries and experts offering insights into the latest microelectronics developments, trends and technologies, and it’s easy to see how SEMICON Japan 2020 Virtual is designed to help attendees grow their businesses and the industry drive the next wave of innovations that promise to address some of the world’s greatest challenges across healthcare, the environment, transportation and other industries.Best of all, it will all be available at your convenience from your office or home 24 hours a day, making it safe and easy for you and others from all over the world to attend. Following is what’s in store at SEMICON Japan 2020 Virtual to help lead you into the future.Leading Japanese Securities Analysts to Weigh in What’s Ahead for the Chip Equipment Sector in 2021 For the first time, SEMICON Japan will feature Bulls Bears as Japan’s’ five top securities analysts focus on the 2021 outlook for the global semiconductor equipment sector. The December 17th event will include discussions on the COVID-19 pandemic’s impact on the semiconductor industry, the continuing geopolitical tensions that are forcing the industry to reconfigure its supply chains, the fast-growing China market and cutting-edge applications that are powering industry growth. The perspectives from Japan’s investment community are sure to be compelling as the region supplies one-third of the global semiconductor industry’s chip manufacturing equipment.Moderated by Akira Minamikawa of OMDIA, the panel will include these experts:Three Visionaries to Explore the Digital TransformationPowered by semiconductors, the fourth industrial revolution is driving digitalization globally, remaking societies to bring more efficiencies and conveniences to our work and home lives and help more people prosper. But the flip side of those tremendous benefits is the risk that wealth will be concentrated in the hands of people in positions of power, companies and nations. Democratizing economic development remains a serious challenge worldwide.Addressing this pressing issue, the Opening Panel on December 11 will feature prominent visionaries from political, academic and industrial communities including the following:Sony’s Leading-Edge Electric Car and Nissan’s Driver Assistance System to Highlight Automotive InnovationsCars are becoming more like smartphones on wheels, rapidly filling with more and more semiconductor chips every year with electrification and electronic driver-assisted systems to key drivers of this growth. At the SMART Mobility 1 session on December 14, two pioneering companies – Sony and Nissan Motor – will focus on both areas of semiconductor innovation.Sony’s Vision-S concept car, exhibited at CES 2020, astonished many in the electronics ecosystem and the automotive industry. What is Sony’s vision behind the vehicle? Izumi Kawanishi, Senior Vice President, AI Robotics Business at Sony will share the latest on the initiative.Nissan, maker of the pioneering LEAF electric vehicle, is the first Japanese carmaker to equip a car – its new Skyline – with the ProPILOT 2.0 driver assistance system for hands-off highway driving. Nissan Executive Vice President Asako Hoshino will provide an update on the company’s driver assistance system strategy and plans.Quantum Computing Meets Chip Manufacturing for the First Time at SEMICON Japan In contrast with current computer systems that use bits (binary 0 or 1 state) for computing, quantum computers leverage quantum superposition (0 and 1 states exist at once) to quickly solve highly complex problems that might take traditional supercomputers hundreds or even thousands of years to tease out. American physicist Richard Feynman promoted quantum computer as early as 1982, but it wasn’t until nearly two decades later and long after his death that quantum bit circuits emerged for use in superconductive materials.With quantum circuits and devices requiring state-of-art semiconductor processing technology, The Era of Quantum session on December 15 at SEMICON Japan 2020 Virtual will discuss necessary advances in chip manufacturing technology to enable the next generation quantum computing. The session will be the first time SEMICON Japan connects the semiconductor manufacturing and quantum computing communities.The program will feature the following experts:Strategies for Sustainable Semiconductor Industry GrowthSemiconductors are giving rise to a hyper-connected world that is fueling demand for staggering volumes of chips, pressuring the electronics industry to uncover new ways to increase manufacturing efficiency while reducing power consumption in a bid to help combat climate change. The Grand Finale Panel composed of executives from Japan’s semiconductor supply chain and a supervising ministry will gather for the Grand Finale Panel on December 18 to discuss ways the industry can achieve sustainable growth through innovation with a focus on energy savings and an new process technologies such as extreme ultraviolet lithography (EUV), which promises to enable electronics devices that are more power powerful, cheaper and more energy-efficient.Panelists include the following:Register TodayThe SEMICON Japan 2020 Virtual All-In Pass provides online access to all 80 presentations and panels, which will be available on-demand for replay until January 15, 2021. What’s more, all eight keynote programs will feature English subtitles. For complete information of the exposition, programs and registration, visit the SEMICON Japan website.I look forward to seeing you virtually at the event!Jim Hamajima is president of SEMI Japan.

Not long after STMicroelectronics opened its first semiconductor plant in Singapore more than 50 years ago, a facility chiefly focused on chip assembly and packaging, the company realized that it had constructed the site in an area with a blossoming chip ecosystem with a bright future. Before long, the company became the first to start a wafer fab facility in the so-called Little Red Dot. Today, our STMicroelectronics Singapore campus sports several buildings that dwarf the original site in the sprawling Ang Mo Kio Industrial Park 2. The facilities feature advanced 200mm manufacturing lines but still produce huge volumes of chips with more than 1,000 pieces of 150mm manufacturing equipment.Much of the wafer equipment dates back to the past century so is no longer supported by the manufacturers, if they’re still even in existence. Yet decades later the chipmaking gear continues to operate with a surprising reliability that far surpasses the longevity called for in its manufacturing specifications thanks to replacement parts and frequent upgrades with more sophisticated handling robots and chucks. Now, as smart manufacturing begins to establish a foothold in the semiconductor industry, Industry 4.0 technology is breathing new life into these aging workhorses.Despite its age, all of the equipment adheres to industry manufacturing standards. The gear is remotely controlled using the SECS/GEM interface protocol that was either originally integrated with the equipment controller or custom-made. We’ve also maximized its usage through advanced recipe management, advanced alarm and event handling, and secured lot identification.Crucially, we decided to systematically deploy a real-time fault detection and classification (FDC) solution using a third-party product based on what today is known as an edge computing architecture. Every piece of critical processing equipment is progressively paired with its dedicated FDC instance running on a virtual machine in the wafer fab data center, and the FDC solution monitors vital equipment parameters at high frequency – depending on the SECS/GEM capabilities of the equipment – and analyzes incoming manufacturing data in real time using classic SPC (statistical process control) algorithms and even AI-class protocols.Our use of the FDC edge solution as a sensor signal aggregator has given our equipment a second life. The solution processes real-time signals from sensors connected through a typical TCP-IP. Sensors have been the old equipment’s saving grace with their ability to de-multiply equipment capabilities and overcome fundamental shortcomings and design weaknesses. The STMicroelectronics Singapore plant first used off-the-shelf sensor nodes with built-in power amplifier and analog input nodes. While very practical and easy to implement, deploying the nodes can be costly. After developing more expertise in sensor integration using FDC, our wafer fab equipment experts decided to design an in-house solution based on the famed STM32 microcontroller. Leveraging Arduino – an open-source electronics platform with easy-to-use hardware and software – the equipment teams can now design and program a variety of in-house sensors for measurements including temperature, humidity, waterflow and pressure. The sensors are integrated with process equipment using the FDC solution. Integrating the sensors with the FDC engine on the edge computer extends the capabilities of old equipment without jeopardizing the integrity of the machines themselves. While the integration can be quick, it must be robust to ensure the reliability of the new measurements. Similarly, ever-increasing connectivity requirements present clear cybersecurity risks that must be managed upfront and each solution must be hardened to minimize security vulnerabilities. Even so, the challenges and risks pale in comparison to the benefits! Jean-Marc PHILIPPE is DIT Director at STMicroelectronics Pte Ltd. He oversees the deployment and support of Digital Solutions to enable STMicroelectronics front-end operations in Singapore and manages manufacturing productivity and automation programs at site level.

I recently spoke with Chan Pin CHONG, Executive Vice President and General Manager of Products and Solutions at Kulicke Soffa, about how smart manufacturing is driving new production efficiencies in the semiconductor industry. During our conversation, he also provided practical steps for factory operators to follow in evaluating their smart manufacturing needs in order to ensure successful implementation and discussed the potential payoffs. Based in Singapore, Kulicke Soffa is a leading global provider of ball bonding, advanced packaging, wedge bonding, and electronic assembly equipment for the semiconductor, power and automotive industries.Ng: Industry 4.0 and smart manufacturing are critical to the growth of the semiconductor industry. What does the smart manufacturing movement mean to you or Kulicke Soffa?Chong: The future of smart manufacturing is the vision of building a digital connected factory to drive new manufacturing efficiencies by combining physical and cyber technologies. Industry 4.0 integrates discrete systems and harnesses the power of large volumes of data to move towards greater automation.At K S, we define smart manufacturing across the following four key areas embedded in our roadmap for all K S products, from wire bonders and advance placement tools to pick and place machines: Interoperability – This is about machines, devices and sensors connecting to each other. In fact, the very basis of smart manufacturing is that all devices are connected. Information transparency – Through simulation, various artificial intelligence (AI) tools use contextual information to emulate the actual world. Technical assistance – Robots or machines support humans in making decisions or solving problems. Autonomous decision-making – This is our vision that robots or machines can learn from machines to make decisions on their own. Ng: Please elaborate on some of these areas and how they’re the relevant to smart manufacturing. Chong: The need for machines, devices and people to communicate with each other forms the basis of connectivity, the idea of all machines communicating with each other or a host. Connectivity protocols now in place for machine-to-machine connectivity include SEMA, SECS/GEM, SEMI-ELS and IPC-CFX. Machine technology uses various sensing technologies. For example, for a pick and place machine such as SMT platform on K S Hybrid, the algorithm to recognize and align processes is part of the sensor needed in each machine before to can process and add thousands of components to the substrate or panel. In a wire bonder, the ultrasonics or EFO signal can provide some form of sensing technology for a machine to detect process conditions. Importantly, these sensing technologies can be used to collect feedback for process improvements.One example of how K S machines are connected to the host is our use of an intermediate server or host named KNeXt to connects to all assembly equipment in the fab. The equipment can then, in turn, connect to an external secured cloud or K S Global Cloud.Ng: What are the objectives for smart manufacturing?Chong: The ultimate goal is to achieve higher factory productivity or better OEE (Overall Equipment Effectiveness) by improving machine yields, productivity and efficiency. The key is to leverage AI, 5G, the Internet of Things (Iot) and other industry 4.0 technologies to drive automation and process improvements. Ultimately, each factory must meet productivity, yield and cost goals. Smart manufacturing enables factory operators to meet these goals. That is the focus of smart manufacturing.Ng: What is the biggest potential benefit of smart manufacturing?Chong: Smart manufacturing uses data to predict outcomes of a process step or machine operation. Once data is available in the global cloud, analytics can start to build data sets to run statistical modelling and examine factory operation trends. We can also use the data to identify past machine behaviors in order anticipate outcomes, including undesirable ones that we can then prevent.In the SMT example, if we can systematically examine days or weeks of historical performance, we can plot some statistical variations in the process specifically to a pick or placer or a robot and anticipate or avoid problems. However, all sensors must be in place in the bond head or the robot so that we can detect changes or variations in the robot’s movements.Kulicke Soffa smart manufacturing facility Ng: What are some recent factory improvements smart manufacturing has enabled? Chong: Kulicke Soffa has contributed to the hierarchical architecture of the smart factory and key technologies. COVID-19 is driving demand for greater factory connectivity, and K S offers solutions that are key to remote management and full control of smart equipment from a central control and embedding Internet of Things (IoT), big data, cloud computing and sensors in manufacturing. Using these technologies, a small smart factory can be remotely operated and managed.With COVID-19 limiting air travel around the world and access to support engineers, the need has grown for remote machine access to reduce the downtime per machine. Remote factory access enables off-site engineers to remotely identify and diagnose machine problems.Ng: What are barriers to faster adoption of smart factories?Chong: While most smart factories are capable of network connectivity and data collection, a key challenge is the lack of a business model for smart factories and smart equipment. Most factories must justify major capital investments by demonstrating ROI (Return of investments) potential. Capital improvements for every factory usually take several years to implement and are based on a complex business model. Factory connectivity requires substantial investments and years to implement. The same is true of the cloud infrastructure buildouts necessary to generate big data and meaningful analytics. The executive mandate for factory management to install capability usually calls for specific business targets in the planning stage.Another longstanding barrier to entry is the lack of compatibility of existing tools with new factory protocols, raising the question of whether the cost of replacing legacy tools justifies the need for a smart factory. If new factory investment is required for the latest tools to support the production of new products, the ROI will be much easier to justify.Ng: How is AI is important in smart manufacturing?Chong: AI interprets and learn from data to perform tasks and meet specific goals. Good examples of AI implementations include Amazon’s Siri and Alexa voice-command devices and self-driving cars being developed by Google and Tesla.At K S, over the years we’ve implemented AI in our smart wire bonders to reduce human intervention in our ProCu-7, PSP-2, ProCu Loop 2, Pro Bump and overhang processes.Thanks to AI, with senses of signals from the bonder, we can reduce the amount of parameters that an engineer or technician have to do trial and error. With on bonder metrology, PBI, loop height, wire sway features, AI allows us to measure process efficiency and provide feedback.Over several years of AI development, we have leveraged the technology to monitor machines and provide real-time performance feedback in order to provide better closed loop control such as short tail recovery in our bonder process. We can also use the data to predict machine behavior, monitor its health and track maintenance. Ultimately, AI enables fabs to improve manufacturing efficiency, productivity, yields and device quality.Ng: What’s an example of how AI has solved your manufacturing equipment problems?Chong: We’ve used AI to set RPM (real time monitor) limits, identify defective P-parts and monitor various conditions such as wire size and capillaries. These types of cases can arise in any manufacturing environment as humans make process mistakes or use the wrong part for a machine. With AI, we can prevent these problems and reduce the risk of further material lost from the wire bonding process.Ng: What advice do you have for factories looking to implement smart manufacturing systems?Chong: To build a smart factory, start by focusing on a clear set of business objectives and how smart manufacturing will help minimize or eliminate current factory inefficiencies. In other words, start with the end in mind – the problems that needs to be solved and the business goals – and identify the information you need to demonstrate ROI. Do you need to resolve, automate or improve processes or just to be more efficient? Before investing millions or billions of dollars to build a smart factory, identify those clear goals upfront. Then map out the particulars of implementation to avoid major problems around standards, protocols and connectivity.Bee Bee Ng is president of SEMI Southeast Asia.

Semiconductor equipment spending is mounting a strong recovery on the strength of explosive chip demand for work-at-home and study-at-home electronics fueled by the COVID-19 pandemic. Despite the growth, the 2017-2018 memory boon that triggered a critical subsystems shortage is still fresh on the minds of equipment suppliers as they worry whether critical subsystem providers can keep pace with the rebounding chip industry while managing the fallout from the COVID-19 pandemic.Hideyuki Koishi, president of HORIBA STEC, Co., Ltd., a leading supplier of mass flow controllers (MFCs), one subsystem critical to semiconductor production, recently spoke with SEMI about the company’s response to the COVID-19 outbreak, the pandemic’s impact on the global supply chain and the company’s ability to meet the demand for MFCs. SEMI: What COVID-19 countermeasures has HORIBA STEC taken?Koishi: To ensure employee safety and security while maintaining a stable supply of products to our customers, we started to deploy company-wide countermeasures when the Japan government declared a nationwide state of emergency to curb COVID-19 infections on April 16.HORIBA STEC and the entire HORIBA group formed a global COVID-19 task force and centralized all local outbreak decision-making to drive a rapid and effective global response. We quickly implemented work-at-home practices for our office staff and provided a safe environment for our factory workers, who are essential to maintaining product supplies, by establishing social distancing protocols and restricting site visits to essential workers. We also distributed face masks to all employees and placed disinfectant dispensers near the door of every room so employees could wash their hands before entering.To help on-site employees follow our social distancing guidelines, we reduced seating at cafeterias and converted meeting rooms to offices to give employees ample work space. We also established invisible walls in manufacturing facilities with multiple collocated divisions to restrict workers to their assigned areas, a containment measure that helps with social distancing while minimizing the risk of an entire factory shutdown if a worker contracts the virus. SEMI: Have you experienced supply chain disruptions due to COVID-19 outbreak?Koishi: Even though our supply chain extends overseas and includes China, fortunately we have not experienced any significant disruptions thanks to the broad geographic distribution of our supply chain. In addition, because many of our critical components are sourced in Japan, pandemic-related impacts to our business have been limited.Long before the COVID-19 outbreak, we organized a community called Rakuraku-kai with our suppliers in Japan to build and maintain close relationships. Although the community name suggests it is exclusive to Kyoto-based suppliers, its reach is a nationwide. After the declaration of state of emergency in June, the supplier community gathered for an ad hoc meeting to exchange information and share perspectives on the COVID-19 crisis.SEMI: Did you have any pandemic protocols in place before the COVID-19 outbreak?Koishi: In 2014, HORIBA group launched Stained Glass, a project designed to increase workforce diversity at HORIBA group companies through initiatives such as placing more women in decision-making roles and encouraging working at home to help employees better balance job demands with their family lives. As part of Good Place, the project’s program to increase the work-at-home rate, HORIBA group deployed a web-based meeting system and encouraged workers to transition from physical to online meetings. Good Place has helped our IT team and workers smoothly implement our work-at-home practices.Working at home is a beneficial practice regardless of its effectiveness in curbing infections. Employees can reduce commute time, increasing their quality. And it’s much easier and more affordable for international participants to join meetings since they’re spared the time and cost of travel. This year HORIBA group also moved its three-day bi-annual global meeting online to make them safer and more economical. The meeting is attended by about 100 leaders of group companies and business units.SEMI: Do you have any concerns about meeting demand for mass flow controllers?Koishi: We doubled the capacity of our main mass flow controller factory in Kumamoto prefecture in 2018 and with more floor space available for further expansion, we see no major barriers to meeting the growing demand from international customers in 2021 and beyond. Nonetheless, we must sustain the best possible COVID-19 countermeasures to maintain production while ensuring the safety of our employees.SEMI: Are you make any social contributions to combat the virus?Koishi: Semiconductors are not only indispensable for the electronics behind remote work, education and healthcare but they also play a critical role in developing COVID-19 therapies and vaccines. Thus, at HORIBA STEC, we believe our most important contribution is to maintain steady a supply of our mass flow controllers and other key semiconductor equipment components.HORIBA group also participates in two important pandemic initiatives. The Open COVID-19 Declaration program calls on intellectual property owners to make their patent rights, utility model rights, design rights and copyrights freely available in the fight against COVID-19. The program’s sole purpose is to stop the spread of COVID-19. HORIBA is among the 20 founders1 of this initiative.In June, HORIBA joined a push by the National Institute of Advanced Industrial Science and Technology (AIST) to develop a simple and rapid COVID-19 antibody test chip system. We’re contributing our expertise in immunoassay analysis and clinical laboratory equipment to help develop the system. SEMI: What have you learned from the COVID-19 outbreak?Koishi: The COVID-19 crisis has posed unprecedented challenges. Everyone hopes to return to normal soon but in reality things will never be exactly the same as before the crisis.Japan might have lagged other countries in its use of IT to improve business efficiency, but as we deal with the new coronavirus, both companies and their employees have been tirelessly considering reforms to the way we work through digitalization. I believe it will be difficult for companies to survive in the new normal unless they can incorporate these types of changes into their operations.On the other hand, I've also been reminded of the importance of traditional, analog communication. While we conducted all of our hiring interviews online this year, face-to-face meetings are a much richer experience that gives the prospective employee and the hiring company a much better sense of each other. In addition, as a company we need to continue to improve our ability to supply products so we can overcome challenges like the pandemic. COVID-19 has taught us our change needs to be more robust. We also need to evolve our business continuity plan to extend well beyond countermeasures to natural disasters such as typhoons and earthquakes. What matters most is that we apply the lessons of COVID-19 to make our business more resilient.[1] Ajinomoto Co., Inc., Canon Inc., Chanel G.K., GenoConcierge Kyoto, Inc., Honda Motor Co., Ltd., Horiba, Ltd., Konica Minolta Inc., Kyoto University, LSI Medience Corporation, Mitsui Knoledge Industry Co., Ltd., NEC Solution Innovators, Ltd., Nikon Corporation, Nissan Motor Co., Ltd., Rohm Co., Ltd., SRL, Inc., Shimadzu Corporation, Teijin Limited., Toyota Motor Corporation, Tsubakimoto Chain Co., and Yahoo Japan Corporation.Yoichiro Ando is a marketing staff member at SEMI Japan.

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.

Making Strides TogetherKnowledge is power – especially when it is shared. This principle formed the foundation for Micron’s Go and See virtual visit of its Singapore manufacturing plant on 26 August 2020 as 27 companies including GLOBALFOUNDRIES, ST Microelectronics, Infineon, TEL, ViTrox , IBM, HP and UTAC joined the first-of-a-kind virtual factory visit. The chip industry powerhouses gathered to see how Micron’s Lighthouse frontend wafer fabrication facility leverages Fourth Industrial Revolution technologies to drive new production and cost efficiencies.They saw clear markers of a transformed organisation and spoke with working-level staff, managers and front-line employees. Company representatives also met virtually with Micron management teams from organisations that led its digital transformation – from pilot programs to integration at scale – to realise significant financial and operational benefits. The mix of technologies they deployed to make it all happen included artificial intelligence (AI), big data analytics and the Industrial Internet-of-Things (IIoT).Micron’s Singapore-based fab facility earned Lighthouse certification earlier this year from the World Economic Forum’s Global Lighthouse Network. The Go and See tour was co-sponsored by SEMI Southeast Asia and McKinsey Company.Transformation is CrucialBy embracing Lighthouse principles, semiconductor sectors and companies can accelerate their digital transformation to boost operational and financial efficiency while helping increase productivity across the electronics supply chain. It will take time for Southeast Asia semiconductor manufacturers to transform to digital operations, though we’re seeing growing interest in Industry 4.0 practices as they begin to understand that the deployment of new technologies and applications will help them better understand real-world benefits of smart manufacturing use cases and solutions. SEMI believes shining the spotlight on companies like Micron can illuminate the way forward for other companies to help drive the industry’s digital transformation. We look forward to seeing companies build on this momentum as they start to leverage leading-edge technologies to improve efficiencies and promote sustainability.Bee Bee Ng is president of SEMI Southeast Asia.

About 70% of the U.S. Gross Domestic Product (GDP) is driven by consumer demand. What consumers are looking for is influenced by, for example, fashion trends, product innovations, environmental forces, and personal interests. Regarding personal interests: Sales of electronic components at Fry’s are poor. Radio Shack stores even vanished completely. Today’s consumers do not like to tinker; they want to buy software-enabled, user-friendly systems with over-the-air updating that serves their current and future requirements well – e.g. smartphones. System vendors followed the same transition, and so did semiconductor vendors. Instead of offering (low margin) components, they develop and manufacture big portions of, if not complete, (high value) hardware and software solutions for electronic systems, targeted at specific markets.Mid-August, two SEMI webinars outlined the Smart Mobility market and what it expects from system and semiconductor vendors.SEMI's Smart Initiative“None of us knows as much as all of us,” “Connect – Collaborate – Innovate,” and other strategic considerations have motivated SEMI to become the gateway for the $2 Trillion (= 2,000 Billion) global electronic design and manufacturing supply chain. Figure 1 shows how many companies and organizations have joined this large industry organization, to work together efficiently and serve customer demands cost-effectively. Especially in four high-growth markets/application areas – Smart Data, Smart Mobility, Smart MedTech, and Smart Manufacturing – SEMI enables highly rewarding cooperation. Figure 1: Overview of SEMI members, technology communities, and areas of focus. (Courtesy: SEMI) MEMS and Sensors for Smart Mobility Tim Brosnihan, executive director of MEMS Sensor Industry Group (MSIG), moderated the webinar on MEMS and sensors for Smart Mobility. Bettina Weiss, Chief of Staff and Global Smart Mobility Lead at SEMI, presented the overview. In addition to Figure 1 above, she showed how many companies are now supporting SEMI’s Smart Mobility efforts and have joined the Global Automotive Advisory Council (GAAC). The European GAAC was founded in 2018, based on requests from VW and Audi. Regional chapters have also been formed in the U.S., China, Taiwan, and Japan. Figure 2 shows the current members of the American GAAC – new members are welcomed in all five regions. Figure 2: Current GAAC members in the Americas. (Courtesy: SEMI) Market Trends and Technology Innovations in MEMS Sensors Andreas Breiter, Partner at McKinsey Company, addressed markets, and Armen Mkrtchyan, Associate Partner at McKinsey Company, spoke about technology. Breiter addressed both vehicle and infrastructure changes required, as well as many ongoing and planned activities to enable Smart Mobility. He outlined autonomy, connectivity, electrification, and shared mobility of vehicles as the major opportunities for MEMS sensors. Mkrtchyan showed which technologies enable Smart Mobility and which regions will invest how much in software, hardware, and services by 2030, to capture data and process it in partially/fully autonomous vehicles’ Domain Control Units (DCUs) – see Figure 3. Figure 3: Pre-COVID market estimates. (Courtesy: McKinsey Company) MEMS-based sensors are used in vehicles to monitor pressures and perform as accelerometers or gyroscopes. Non-MEMS-based sensors capture light (e.g. for time-of-flight distance measurements) or magnetic fields (e.g. for RPM measurements). Regarding the many infrastructure upgrades needed for enabling autonomous vehicles on the roads, in Figure 4, Breiter gives road planners a lot of food for thought and planning work. City planners face much more complex challenges. That’s why electronic systems will also be needed to make these large infrastructure investments earn returns. Figure 4: Smart roads are essential for autonomous driving. (Courtesy: McKinsey Company) EDA and Smart Mobility The second Smart Mobility webinar focused on how Electronic Design Automation (EDA) tool vendors, Intellectual Property (IP, System Building Blocks) vendors, and system/IC Design Services can contribute to the success of Smart Mobility. Bob Smith, executive director of Electronic System Design Alliance (ESDA), moderated the webinar, highlighting where the relatively small but essential ESDA and its members fit in the semiconductor ecosystem – see Figure 5. Figure 5: EDA, IP, and design services enable the entire electronics ecosystem. (Courtesy: ESDA) Bettina Weiss explained how SEMI and the Smart Mobility Team are working to bring together stakeholders in the semiconductor ecosystem in general and the Smart Mobility segment specifically, to jointly address topics of common interest, work on solutions and agree upon standards where and when needed. Market Trends and Technology Innovations in EDA, IP and Design Services Andreas Breiter and Armen Mkrtchyan presented McKinsey’s perspectives regarding these topics. In addition to the above-mentioned market data, Breiter emphasized that DCUs are playing an increasingly important role in capturing the data provided by smart sensors, are processing it, and initiating appropriate actions. Together with application-specific software, these DCUs perform tasks like sensor fusion, manage creature comfort, assure safe operation of the vehicle, and secure communication with the outside world (Figure 6). Figure 6: High growth for DCU; likely shift in business models. (Courtesy: McKinsey Company) Mkrtchyan addressed EDA, IP, and services for Smart Mobility from 10 different technical perspectives. Here are the highlights. Component failures can and will have severe consequences in Smart Mobility. Therefore screening, testing, and exhaustive verification are extremely important. Software content is likely to increase at 10% CAGR during this decade. To increase the productivity of software and middleware developers, he emphasized that standards need to be agreed upon. Over-the-air (OTA) updating capabilities are needed. That’s why cybersecurity is important to keep vehicles current and safe. Power train electronics need to function at up to 150°C. New materials will be needed to increase reliability, reduce cooling efforts, and lower unit costs. Last, but not least, Mkrtchyan emphasized that every city needs to design its own infrastructure, not only to enable Smart Mobility but also to monetize the large investments needed; EDA, IP and design support will help to achieve both. In summary, he stated that Design and IP as well as packaging and test will be the most impacted areas in the transition to Smart Mobility. Personal Comments After having attended several MSIG events, I am impressed by how MEMS, NEMS (Nano…), and sensors can lend machines in many ways sight, smell, taste, touch, and hearing. They can replicate these human senses, often better than found in us. If you, like me, celebrated when your first modem enabled your PC to communicate with the entire world, you’ll appreciate the value MEMS and sensors can and will add to machines’ “communication skills.” Also, I can assure you that innovative engineers in this field will find many new ways to capture data in the physical, chemical, and biological domains and enable machines to keep humans safe. (I look forward to a handheld Covid-19 sensor that provides results within a few seconds!) Having worked for a small, then a large EDA vendor, many years ago, and for the ESD Alliance several years ago, I know how difficult it is to motivate innovative software developers to work together or agree upon standards. I am glad that the ESD Alliance is now working closely with SEMI. Most SEMI member companies, and their innovative employees, have learned over the years how important standards are to reduce development cost, processing, and test time, as well as time to profit. I wish Bob Smith and the ESDA members all the best for cooperating closely to define design standards, bi-directional hand-off points up and down the entire supply chain, primarily at the interface between design and manufacturing. I want to encourage EDA and IP experts to work closely with the experienced and knowledgeable people in materials, equipment, manufacturing, and test. 5G mm-wave communication, artificial intelligence/machine learning (AI/ML), reliable solutions for Smart Mobility, and development/characterization of new materials offer great opportunities and challenges for design AND manufacturing. Together, these two big camps can monetize required solutions much better and faster, than on their own. Your contact at SEMI can tell you how and where you can watch the webinar recordings and/or download all the slides. P.S.: Having two eCars and one eBike in our garage encourages me to appreciate SEMI’s efforts in advance Smart Mobility! Republished with permission from 3D InCites.

Japan’s semiconductor industry has weathered the COVID-19 pandemic to post robust growth. Far from a temporary setback, COVID-19 will lead to enduring change in how we work and live. And just as automation has been a bulwark against the devastating business impacts of the virus outbreak, increasing digitization will lead to new efficiencies in our industry.These were some of the key takeaways from three SEMI Japan Members Day webinars in June and July that offered the latest updates on COVID-19 impacts to the semiconductor industry and restart strategies for SEMI members. More than 2,000 SEMI members across Japan’s islands attended the webinars featuring the following five speakers: Hideki Kanewaka, Marketing Director, Consulting Lead, Japan, Accenture Japan Ltd. Takayuki Komori, Manager, Marketing Engineering Dept, SUMCO Corporation Taketoshi Hamaguchi, Director, Manufacturing Industry, Microsoft Corporation Akira Minamikawa, Senior Consulting Director, OMDIA (Informa Intelligence LCC) Yuichi Koshiba, Managing Director Partner, Boston Consulting Group COVID-19 Impact on Japan Semiconductor Industry is ModestThe consensus view of the five speakers from various quarters of the industry – consultant, IT service provider, materials supplier, market analyst – was that the Japan semiconductor industry withstood the heavy blows COVID-19 dealt to other industries thanks to strong demand for chips. Shelter-in-place policies and lockdowns spawned by COVID-19 has accelerated the digital transformation rippling around the world as electronics sales have soared to support everything from remote work and education to healthcare and home entertainment including gaming.The rapid growth of cloud usage for video streaming, gaming and remote work is taxing communications network capacity and placing more bandwidth demands on servers, said Akira Minamikawa of OMDIA. According to a recent report by Nokia, communications network traffic has skyrocketed 300 percent for online meetings and 400 percent for gaming, bringing the networks closer to their capacity limits. Minamikawa sees server shipments increasing at 8 percent CAGR through 2024. For the broader chip market, he expects demand for notebooks, solid state and hard disk drives, and gaming to remain strong in 2020. He also predicts rapid 5G penetration for smartphones will boost semiconductor chip industry growth.Still, not all semiconductor segments are expanding, said Yuichi Koshiba of Boston Consulting Group. Chip shipments for end products in markets such as automotive, industrial equipment and aircrafts are on the decline. Slowing demand for chips that power automotive applications in particular could pare sales for some chip companies and distributors since the segment accounts for a high proportion of their overall revenue.State of the Semiconductor IndustryFrom SUMCO’s vantagepoint as a major silicon wafer supplier, the company’s Takayuki Komori sees a number of changes unfolding in the semiconductor industry: Smartphones are driving growing demand for process technology (smaller nodes) and 300mm wafers. Komori estimates the typical high-end smartphone sports 1,700 square millimeters of silicon. 300mm wafers account for 80 percent of that total while more than 50 percent of the devices use leading edge multi-patterning technologies. Smartphones will need more RF chips to support 5G’s high-speed communications and added frequency ranges. Substrates for RF switches and tuners have been shifting from gallium arsenide (GaAs) and other compound semiconductors to silicon. 5G smartphone penetration will accelerate as the cost of integrating CPUs and modem functions into a single chip sees a swift decline. While the sensitivity and resolution of CMOS image sensors have evolved to incorporate innovative backside illumination and stacking technologies, future advances will focus more on products for machine vision applications capable of sensing invisible light bands. Rising adoption of electric vehicles and robotics applications will drive growing demand for power semiconductors that control their motors such as IGBTs and MOSFETs as the production capacity for the devices expands and shifts to 300mm wafer lines. For memory fabs, Minamikawa said utilization remains high as a result of a spending slowdown by major chip manufacturers and will stay elevated even once additional capacity ramps to support robust demand. Foundry fab utilization also remains high despite the pandemic-driven cancellation of smartphone chip orders in March. Minamikawa also sees the utilization rate of micro rising with the surge in demand for notebooks, PCs and servers in the second half of 2020.Transition to New NormalAs people around the world start to settle into new ways of living and working, there’s a growing acceptance that the transformation will be long-lasting. And no area of people’s lives is changing more than their work. Boosted by government subsidies, many small and midsize companies in Japan have started to implement work-from-home policies, an area where major electronics and IT businesses had already instituted reforms, said Hideki Kanewaka of Accenture. A few examples: Nippon Telegraph and Telephone Corporation (NTT) announced that half of its employees will continue to work from home in the future. A five-year plan Toshiba launched in 2019 to allow all employees to work from home will likely accelerate. Hitachi plans to allow all employees to work from home starting in April 2021. dwango, a major internet-based entertainment company in Japan, announced it will allow in principle any employees to work remotely. In the critical area of remote sales, Kanewaka pointed to the importance of going beyond online business meetings, paperless transactions and virtual events to devise new ways to attract customers and close deals. Creating online communities and providing rich digital content are also important measures to consider, he said.Manufacturing's Digital TransformationTravel restrictions by most countries to curb the COVID-19 outbreak have also raised barriers to chip companies sending engineers overseas sites to service state-of-art equipment and provide other technical support. Microsoft’s remote assist system deployed by ASML is one tool semiconductor makers can use to overcome this challenge, said Taketoshi Hamaguchi of Microsoft.The system connects a remote equipment service expert with an onsite worker through the internet, allowing the technical expert to provide support through a goggle display with a camera worn by the worker. Guided by the expert, the worker can perform complex services. A Natural User Interface (NUI) helps give the factory worker a clear understanding of the often highly technical instructions.Using artificial intelligence (AI) to increase automation will also help reduce the reliance of semiconductor factories on onsite workers. For example, AI deep learning can be deployed to calibrate equipment autonomously and reduce downtime after scheduled maintenances, Hamaguchi said.Corporate Restart Strategies Beyond factory considerations tied to COVID-19, semiconductor companies will need to adapt their business strategies to new ways of operating. For example, global supply chains will shift to domestic sources and increase redundancy to ensure a steady supply, a change leading to higher overall costs, Koshiba said. Trade routes among regions will also be redrawn as the trade rift between the United States and China and other geopolitical tensions intensify. The total value of those routes is expected to recover by 2023.Koshiba advised companies to evaluate the supply chain trade-offs between stability and cost and factor in potential risks to improve their short-term resilience and drive mid- to long-term supply chain restructuring.After past recessions, 14 percent of companies restored sales growth, Koshiba said. He recommended investing aggressively in growth and seizing M A opportunities during the downturn. Chip companies must also adapt to supply chain changes faster than competitors.Become a SEMI MemberWebinars like the recent SEMI Japan Members Day series have become increasingly important in the mix of programs and services SEMI offers members to help them connect, collaborate and innovate in the microelectronics community. To become a SEMI member, please visit the SEMI website or contact your nearest SEMI office.Jim Hamajima is president of SEMI Japan.