foundries

Traditionally, defect classification is done manually by operators or using Automated Optical Inspection (AOI) machines, often leading to classification inconsistencies. Also, rules-based AOIs may at times be unable to fully satisfy project requirements due to the rigidity of inspection recipes. SixSense – Breaking the Status Quo with Artificial Intelligence Enter SixSense, an AI-powered defect classification software platform that has been making breakthroughs in defect detection and classification for semiconductors to make manufacturing smarter and more efficient. Founded in 2018, SixSense has already amassed a wealth of experience and chalked up a number of successes such as automating the manual image classification process, reducing manufacturing false rejects, and capturing escapees. Infineon Technologies and GlobalFoundries were amongst the early adopters of SixSense’s platform: classifAI. With Infineon, classifAI has allowed over-rejection rates to be precisely quantified. classifAI – Simple UI, Easy Usage, Powerful Models As a UI-based assistive software platform, classifAI, SixSense’s automated defect classification platform is built with the defect and yield engineer in mind. SixSense takes care of all the back-end complexities – such as coding, algorithm modelling and deployment – to enable end users to get started and use the platform with a simple GUI. The simplified end-to-end AI pipeline offered on the platform includes data labelling to make data AI-ready, model training, and model testing. Ultimately, models are deployed on the production floor for 24/7 inferencing of hundreds of millions of images every year, at scale, across processes, tools and sites. Machine learning models built by the SixSense team have seen strong results, with model accuracy of up to 98% in certain use cases. Track Record of delighting IDMs, Foundries and OSAT Customers SixSense has consistently solved visual inspection problems and enabled the success of IDMs, foundries and OSATs since its inception. The AI technology has helped a range of customers across 100mm-300mm wafer standards, both pure silicon and compound wafers, and caters to specific end-use market requirements such as RF and automotive. Partnerships between startups and established manufacturers are key to actualizing the value of AI in manufacturing. “Our collaboration with AI startup SixSense has enabled us to explore opportunities in yield gain, improving cycle time, and real-time monitoring of process shifts,” said Dato’ Tan Soo Hee, Executive Vice President, Global Backend Operations at Infineon Technologies Asia Pacific. “SixSense has been very attentive to the needs of our engineering team, addressing project requirements using a customer-first approach evident in the design of the intuitive software platform,” said Melvyn Peh, Principal Engineer, Automation-Scan-Pack, Infineon Technologies Asia Pacific. The intelligent annotation module is one of many offered by SixSense, which uses AI to train AI and accelerate the data annotation process by focusing on the semiconductor-specific requirements. Another valuable module in classifAI is advanced analytics that capture the heatmap for defect distribution on the images. Images are stacked on top of each other, with the location of defects aggregated to provide the defect heatmap. Through this, systematic failure patterns were identified that allowed defect engineers to zero in on key sources of failure and assist in root-cause analysis. Infrastructure – Scale Fast, Adapt Quickly, Accelerate Value Creation In the dynamic world of technology, machine learning and AI projects must meet changing infrastructure demands. A cloud-first approach is often favored for the plethora of benefits it offers. “We’re looking forward to a great partnership with SixSense, treading together hand in hand exploring fresh ideas and possibilities,” said Manju Jalali, Vice President of digital manufacturing at GlobalFoundries, who oversees the company-wide roll out of classifAI. For use cases where on-premise deployments are preferred, SixSense offers such options for infrastructure integration, satisfying all possible infrastructure requirements in the market. Contributing to a vibrant innovation ecosystem SixSense was mentioned by Singapore’s Deputy Prime Minister Heng Swee Keat during an event that marked Infineon’s 50th anniversary in Singapore: “I am heartened that Infineon will be investing more than $27 million over three years on an AI initiative in Singapore. Under this initiative, Infineon Singapore will be partnering academia, industry, and local startup SixSense AI to develop new AI solutions and courses.” Explosive Growth of AI in Chip Manufacturing According to a McKinsey Company report, AI contribution to semiconductor company earnings is projected to rise to between $85 billion and $95 billion per year in the coming years. SixSense has been taking great strides in creating value for their semiconductor customers. “SixSense offers tremendous value in a high-growth vertical in the semiconductor industry, marrying the latest deep learning algorithm with the compute power of the cloud,” said Rajan Rajgopal, CEO of DenseLight Semiconductor. “This leads to faster root-cause analysis that helps reduce the cost of non-conformance and improve quality.” Dominic Teo is Enterprise Business Development Representative at SixSense. He can be reached at [email protected].

D-SIMLAB Technologies, a Singapore-based provider of simulation-based business analytics and optimisation software solutions, recently joined SEMI. I spoke with Peter Lendermann, the company’s co-founder and Chief Business Development Officer, about the company’s role in the smart manufacturing movement, how customers are benefiting from D-SIMLAB solutions, and what the future holds for smart manufacturing. Ng: What is D-SIMLAB’s mission?Lendermann: Our mission is to develop, market, and deliver high-performance simulation-based decision support solutions that enable corporations to enhance their performance in a sustainable manner leading to significant cost savings. In particular, we focus on semiconductor manufacturing material flow planning and optimisation but also do business in aviation where we help customers optimise their spare parts support operations. What these two domains have in common are three important attributes: They are capital intensive, their underlying operations are complex, and operations are also heavily affected by random, i.e. unpredictable events, which makes both planning and execution of manufacturing operations very challenging. D-SIMLAB is a spin-off from the Singapore Institute of Manufacturing Technology (SIMTech) under the Agency for Science Technology and Research (A*STAR). Our head office is in Silicon Island Singapore. We also have representations in Germany and the U.S. Most of our staff are industrial and computer engineers with up to 20 years of operations experience in their respective industry domain, as well as vast data analytics and software development capability.Ng: What solutions does D-SIMLAB offer to optimise semiconductor manufacturing?Lendermann: In the three-pillar smart manufacturing framework of Connect, Sense and Predict advocated by SEMI, our focus is on Predict though we emphasise the equal importance of the subsequent Act: Our solutions can Predict, for example, WIP waves or usage-based preventive maintenance due dates. But much more value-add can be realised once some decisions with regard to how to Act can be derived from such a prediction. The ability to pro-actively adjust action plans in a timely manner is essential to overcoming challenges arising from changing customer due dates, mix profile changes, untimely production line issues, and production capacity to be shared with R D lots effectively, so that ultimately our customers can enhance capacity, reduce cycle times and improve the due-date performance of their factories.To that end, our D-SIMCON solution suite spans the full spectrum of decision-support tools required to forecast, manage and optimise material flow – from operational scheduling and dispatching, WIP forecasting and dynamic and static capacity planning all the way to specific applications for fab load mix optimisation or for the enhancement of the product/layer dedication and resist allocation in the lithography area. Our solutions are implemented in numerous 6-, 8- and 12-inch wafer fabs operated by both IDMs and foundries worldwide with capacity ranging from 40,000 to 200,000 wafers per month.Ng: What are the key enablers of D-SIMLAB’s success?Lendermann: Our success lies in deploying production-ready solutions for our customers, allowing them to extract immediate value. Our solutions enable the portrayal of many domain-specific characteristics such as queue time constraints or specific equipment behaviour, which is absolutely essential to generating operationally feasible plans or schedules in order to be able to Act in the best possible manner according to what has been Predicted. Moreover, we have modules for automatic generation, calibration and maintenance of the underlying capacity model, including resolution of data inconsistencies as well as verification and validation of the model, to allow near real-time responses to continuously changing operations. And the associated optimisation approaches focus on creating maximum possible value with as few iterations as possible and within minimum time through smart heuristics and parallel computing infrastructure – a paradigm that is as powerful as it is cost-effective.Ng: What are a few of your more notable customer successes?Lendermann: As a result of the first implementation of our novel, multi-objective based Scheduler cum Dispatcher, a tool capacity gain of 8%, a transportation capacity gain of 10%, and an operator workload reduction of 25% were concurrently realised at one of the critical equipment groups in our customer’s fab. At another set of equipment groups in the same fab, a 7% increase of lots within the critical queue time limiting area was achieved.Another use case we successfully realised is fine-tuning of Preventive Maintenance plans: Based on a seven-day lot arrival forecast at each equipment generated with our WIP Forecaster, a recommendation is made when PM would be best possible without causing too much disruption in the WIP flow. The effect of this synchronisation of the PM plan with material flow enabled a dramatic reduction of the average queue lengths at critical equipment groups and the associated cycle times without incurring any capacity loss. Reduction of average queue length as a result of synchronising preventive maintenance with material flow. Ng: What challenges has D-SIMLAB been facing in the COVID-19 world?Lendermann: Obviously, software delivery projects have become more challenging for the time being since our engineers cannot be on-site frequently. But it also turned out that more and more services can be delivered remotely, which has the nice side effect of making the services more cost-effective for customers. Overall, we are confident that our solid customer base will enable us to sail steadily through these challenging times.Ng: Where does D-SIMLAB see the technological development heading?Lendermann: In the future, enriching decision support and manufacturing execution solutions with machine learning and other AI techniques will be critical in reducing dependency on human experience. This path is essential to making manufacturing operations fully Industry 4.0-compliant. D-SIMLAB will certainly be at the forefront of this development. Bee Bee Ng is president of SEMI Southeast Asia.

So far the semiconductor industry is outperforming most other manufacturing sectors. Semiconductor capital equipment shipments were up 23% globally in 2Q’20 vs. 2Q’19 and semiconductor chip 3/12 growth is still in positive territory. However there are signs of slowing.

Included in this outlook is a discussion of the financial impact of the current pandemic and a forecast for GDP growth by major region for 2020 and 2021.

Despite market saturation and stagnation saddling many business sectors, MEMS remains a shining star in the semiconductor industry. Opportunities in automotive, consumer electronics, mobile, medical are rising. What is supporting this industry growth? Who are the big players on the horizon?SEMI spoke with Dimitrios Damianos, Technology Market Analyst, Photonics, Sensing and Display division at Yole Développement, about MEMS market dynamics and future trends. Damianos shared his views ahead of his presentation at SEMI MEMS Imaging Sensors Summit, 25-27 September, 2019, at the WTC in Grenoble, France. Join us at the event to meet experts from Yole and many other key industry influencers. Registration is open.SEMI: MEMS and sensors is one of the healthiest industries not only in Europe but globally. Despite a global economic slowdown, the MEMS and sensors is still growing. What is fueling this growth?Damianos: The value of the global MEMS and sensor market will almost double from $48 billion in 2018 to $93 billion in 2024. In 2018 the MEMS and sensor market represented more than 10% of the total IC market, as more and more MEMS devices and sensors, such as MEMS, image sensors, and RF filters, are integrated in end products in consumer and automotive. In particular, the value of the MEMS-only market reached $11.6 billion in 2018, with consumer applications accounting for more than 60% of the total market. From 2019 to 2024 the MEMS market will grow 8.3% annually in value driven by pressure (for TPMS), RF (for V2X 5G communications), inertial (for ADAS) and future MEMS (such as pMUT for ultrasonic fingerprint) (Source: Status of the MEMS Industry report, Yole Développement, 2019). SEMI: How are MEMS shaping the semiconductor industry today? Damianos: MEMS have a make-smarter enabling capability. They are providing context for new applications and services in transportation, mobility, health, and security. Large companies such as Alibaba and Google are considering MEMS as a critical element in their business solution domains covering the upcoming smart home, smart campus, smart city and smart industry applications. MEMS have key features that correspond to these companies’ criteria for accuracy, small size (without performance degradation), low power and always on (e.g. microphones). Furthermore, with the advent of sensor fusion and edge computing, more sensor data can be processed, maximizing the qualitative and useful information about us and our surroundings. This has a huge impact in all markets, especially consumer.SEMI: MEMS foundries performed well thanks to the boom in industrial and medical applications. Who are the big players right now?Damianos: During 2018, all foundries saw their revenue increase. STMicroelectronics, Teledyne Dalsa, Silex, IMT, Micralyne and Philips Innovation Service are important MEMS foundry players that offer services for various MEMS devices used in medical and industrial markets, among others. On one hand, medical applications were driven mostly by microfluidics, flowmeters, pressure and inertial MEMS. On the other hand, industrial applications were driven by inkjet heads, microbolometers and pressure MEMS. The market prospect, however, is huge for RF MEMS and oscillators that will be used in next-generation 5G infrastructure. SEMI: What is the current status of MEMS for automotive applications? What are the related market drivers? Damianos: In automotive applications, accelerometers and pressure sensors still account for the lion’s share in units. Pressure sensors will grow at more than 8% with Tire Pressure Monitoring System (TPMS) implemented in Chinese vehicles in the near future. After 2019 and 2020, with the new Chinese standard, GB 2614, TPMS will become compulsory: 100% of all new vehicles will have TPMS. Also, automotive MEMS could grow quicker than the corresponding car market (currently at approximately 3%). The reason is a higher number of many different MEMS devices that are being integrated in cars, such as MEMS inertial measurement units (IMUs), TPMS, environmental MEMS for gas and particle monitoring in-cabin and microphones for hands-free voice commands.SEMI: After years of decline, the inkjet heads industry is growing again. What other segments are benefiting from MEMS technology applications? Can you name two examples?Damianos: RF MEMS (BAW filters) is also benefiting from applications in smartphones and will continue to benefit with the arrival of 5G. 5G means additional high frequency sub-6 GHz bands that can only be addressed by BAW filters. Moreover, new infrastructure approach using active antennas will create an expanding market for BAW.Another segment is inertial sensors. Inertial MEMS already have a high potential in wellness and fitness wearables and are gaining support for medical wearable applications to monitor patient activity, with the aim to prevent seizure in cases of epilepsy and other mental disorders. Compared to other types of sensors, MEMS is the golden technology for inertial sensors integrated into medical wearables. They are used for rehabilitation systems, activity trackers and assistance living/fall detection. Specifically, the IMU market will continue to grow for consumer and automotive applications as their price and form factor continue to shrink and they replace traditional standalone MEMS accelerometers and gyroscopes. However, the inertial sensor market will mostly grow for smartphone applications (mostly 6DOF, with 9DOF volumes being comparatively low).SEMI: Give us one prediction about the opportunities offered by the MEMS technology. Damianos: Sensor fusion is becoming more and more relevant since billions of MEMS sensors are made every year. The upcoming 5G revolution will make connectivity easier than ever, creating exponentially more data. To make these data meaningful, data processing is mandatory. Big data is an industry born of recent advancements in AI and machine learning, built upon and fueled by a wealth of new data from ever-expanding sensor applications. An upcoming trend is edge computing, with sensors and MEMS driving a new age of technology. Sensors are digitizing the human experience, and as the real and virtual worlds move closer together, it will be sensors that bind them, enabling new experiences for users everywhere. Running AI at the edge, coupled with sensor fusion, will open new applications for MEMS in audio, motion, olfactometry, and imaging. We also expect that new MEMS devices (microspeakers, ultrasonic fingerprint, pMUT) and piezoelectric MEMS technology could rejuvenate the MEMS market. SEMI: What are your expectations for SEMI MEMS Imaging Sensors Summit and why would you invite your peers to attend? Damianos: SEMI is organizing another very successful event, gathering experts from the Imaging and MEMS industries. We are at a turning point of innovation, with many technological advancements in AI, IoT, AR/VR, biometrics, and other areas where Imaging and MEMS technologies are paramount. Yole is excited to hear the thoughts of many high-profile experts on existing activities and future prospects within their organizations. If you are too, then it is an event that you shouldn’t miss!Dimitrios Damianos, Ph.D. is a Technology and Market Analyst in the Photonics, Sensing and Display division at Yole Développement (Yole). Damianos is a member of a Yole team that produces technology and market reports on the imaging industry including photonics and sensors. Damianos holds a MSc degree in Photonics from the University of Patras (Greece). After his research on theoretical and experimental quantum optics and laser light generation, Dimitrios pursued a Ph.D. in optical and electrical characterization of dielectric materials on silicon with applications in photovoltaics and image sensors, as well as SOI for microelectronics at Grenoble’s university (France). He has also authored and co-authored several scientific papers in international peer-reviewed journals. Learn more! Join the webinar on 5th September 2019. Registration is open! Serena Brischetto is a marketing and communications manager at SEMI Europe.

Broad Global U.S. Electronic Supply Chain GrowthThe first quarter of this year was very strong globally, with growth across the entire electronics supply chain. Although Chart 1 is based on preliminary data, every electronics sector expanded – with many in double digits. The U.S. dollar-denominated growth estimates in Chart 1 have effectively been amplified by about 5 percent by exchange rates (as stronger non-dollar currencies were consolidated to weaker U.S. dollars), but the first quarter global rates are very impressive nonetheless. U.S. growth was also good (Chart 2) with Quarter 1 2018 total electronics equipment shipments up 7.2 percent over the same period last year. Since all the Chart 2 values are based on domestic (US$) sales, there is no growth amplification due to exchange rates.We expect continued growth in Quarter 2 but not at the robust pace as the first quarter.Chip Foundry Growth ResumesTaiwan-listed companies report their monthly revenues on a timely basis – about 10 days after month end. We track a composite of 14 Taiwan Stock Exchange listed chip foundries to maintain a “pulse” of this industry (Chart 3).Chip foundry sales have been a leading indicator for global semiconductor and semiconductor capital equipment shipments. After dropping to near zero in mid-2017, foundry growth is now rebounding.Chart 4 compares 3/12 (3-month) growth rates of global semiconductor and semiconductor equipment sales to chip foundry sales. The foundry 3/12 has historically led semiconductors and SEMI equipment and is pointing to a coming cyclical upturn. It will be interesting to see how China’s semiconductor industry buildup impacts this historical foundry leading indicator’s performance. Passive Component Shortages and Price IncreasesPassive component availability and pricing are currently major issues. Per Chart 5, Quarter 1 2018 passive component revenues increased almost 25 percent over the same period last year. Inadequate component supplies are hampering many board assemblers with no short-term relief in sight.Peeking into the FutureLooking forward, the global purchasing managers index (a broad leading indicator) has moderated but is still well in growth territory.The world business outlook remains positive but requires continuous watching!Walt Custer of Custer Consulting Group is an analyst focused on the global electronics industry.

The MEMS industry has huge growth potential. Will MEMS fabrication act as a bottleneck to continued expansion or a critical conduit to achieving that potential? Slow development cycles, multiple fabrication platforms and high cost for small R D volumes are barriers to rapid development of new products. Understanding the special features of MEMS fabrication — with its many ecosystem options — will help your company to navigate successfully these challenges as you more quickly develop new and unique products.The sheer diversity and varying requirements of MEMS devices and the one product, one process approach are the root causes of most MEMS fabrication challenges. While a single approach will not suit all companies, forming an ecosystem that leverages different companies’ expertise is one of the best ways to address these challenges. However, knitting together this ecosystem is difficult because having multiple partners in the mix only works if the entire supply chain follows common basic design rules and a common top-level technology development roadmap.Because establishing these commonalities takes time and effort, many large- and medium-sized companies prefer to own their supply chain, regardless of the costs. In contrast, emerging companies that cannot support heavy capital investments in new equipment will inevitably find foundries that have all the equipment in place — as well as a wide variety of MEMS processes — a more attractive option. As you embark on a MEMS fabrication journey, which options should you consider to stay ahead of the pack?Finding ecosystem partnersSince there are so many different technology choices that make process integration difficult in MEMS fabrication, technology know-how is the key to developing unique products in time. If you are not able to own your supply chain, you must find ecosystem partners whose expertise both matches and complements your technology (Table 1). Table 1: Ecosystem options as a function of company expertise. 1=Excellent fit 2=Good fit 3= Ok fitYou must also understand how your company can add value — either directly to the end-product or to the other partners in the ecosystem. Above all, there must be trust among partners. A lack of mutual trust will lead to inadequate information-sharing and cumulative knowledge-gathering — slowing problem-solving and/or causing excessively long development cycles. Option 1: Own your supply chainWhile few companies can support Option 1 — having the whole supply chain in-house (like Bosch or STMicroelectronics) — the benefits are many: all know-how will be contained within the company, IP is easy to protect, and supply-chain management is simpler. However, this model demands a significant investment in tools and, in the long run, substantial effort and money to remain technologically competitive in each part of the supply chain.Option 2: Outsource the ASICYou might opt for a fully owned supply chain — outsourcing only ASIC fabrication and possibly ASIC design and assembly. This option requires significant expertise in MEMS technology, freeing you from the limitations of a fabless operation model as you gain more control of MEMS fabrication processes. It also offers more IP protection than you would have with a foundry.While the disadvantages of Option 2 are similar to the fully owned supply chain model, you can mitigate them by outsourcing part of the MEMS chip fabrication supply chain or outsourcing some development to wafer supply companies that can handle the customer-designed embedded structures inside the wafer and/or multi-stack wafer packages. Outsourcing will shorten the process flow and reduce the amount of capital required for growth. A third outsourcing option is to farm out especially difficult or incompatible steps, delivering multiple benefits such as access to better materials, including specialized polymers – which are typically more expensive than silicon – and precious metals, such as gold or platinum, which can contaminate equipment during thin-film deposition processes.Options 3-4: Foundry modelsWhile more companies still own the whole supply chain or outsource the ASIC portion of their device than use MEMS foundries, the MEMS foundry solution is still an especially good option for cost-conscious companies. If you cannot afford the substantial investment needed for new tools and/or advanced materials or your product requires rapid scaling-up because of short lifecycles, you should explore foundry solutions. There are two main types: pure-play foundries (Option 3) and a foundry with design services and its own IP (Option 4). Option 3 offers no design services, nor does it provide its own designs. It is an excellent choice for a MEMS design-based company lacking its own MEMS fabrication line. However, if your company lacks in-depth knowledge of MEMS design, Option 4 will give you design support and possibly some IP as well. Option 5: Buy the MEMSOption 5 is to buy ready-made MEMS chips and use them as the foundation to build your component. This is solid choice if your company is high in the value chain or has system-level expertise.In the future, MEMs ecosystem players will win by offering both design-library development and a supporting portfolio of MEMS process design kits — just as the IC industry now does. This winning approach will significantly shorten the MEMS product-design cycle – from idea to process development and finished product – and will ultimately change the rules of the game for the MEMS fabrication industry.Based in Vantaa, Finland, D.Sc.(Tech.) Heikki Holmberg develops new business opportunities for Okmetic’s high-performance silicon wafers. He also manages Okmetic’s research portfolio, including European Union- and nationally funded research projects. For more information, visit: https://www.okmetic.com/