Integrated Data Warehouse - A differentiator in Semiconductor Industry
The semiconductor industry is highly competitive and cyclical. In order to gain an edge over competition, constant innovation and the ability to adapt quickly, are very important. While on the one hand, semiconductor manufacturers are investing heavily in research and development; on the other, there is also a race to improve efficiency in design, manufacturing and operations. Building an integrated, enterprise-wide data warehouse provides a good way to leverage the organization’s data assets and increase operational efficiency.
Automated Test data collection for Yield Improvement using Wafer Mapping Analysis
The Semiconductor industry has a complex multi-stage manufacturing process, with great focus on high yield and quality improvement as a continuous effort to meet the ever-growing demand in the industry. One of the key requirements for a complete defect traceability analysis, is to have the infrastructure set up to collect test measurement data to provide the analysis required to proactively prevent costly quality incidents. This test data is often called as Wafer test data or Device test data, and is the key source of information in generating
Advanced Process Control in Semiconductor Manufacturing
Advanced Process Control (APC) techniques have matured in the semiconductor manufacturing facilities over the years. The availability and use of custom and off-the-shelf APC framework in a fab is taken for granted, as the devices and manufacturing techniques get more complex than ever before. This information is provided to communicate a high level overview of APC, with classic examples to communicate potential and the infrastructure to nurture APC.
How Technology is Impacting R&D in Semiconductor Industry
Technological advancements are causing a huge escalation in the complexity of R&D projects. According to Gartner, on average IC design costs are have risen from $30 million for 28nm, to $80 million for 14nm, and will go up to $120 million for 10nm. R&D complexity escalation is transforming business models in semiconductor industry. It is one of the major drivers of recent consolidation in the industry. Even though horizontal business models help reuse of IP blocks, SoCs mean a lot more goes into market leading chips.
Lot Containment Process
During the recent years, we have seen lot of recalls from various big automotive industries. This really hits the customer satisfaction and product value in the market, which will impact the revenue of the company, and will also loose the edge over the competitors in the market. One of the foremost things for the semiconductor industry, which supplies chips that are placed in brakes, or in other electronic controls in the Automotive, should be maintained at very high quality.
Blockchain in Semiconductor Industry
Blockchain technology has been one of the most significant developments in the information technology space over the past few years. This technology helps in cultivating an environment of trust among the partner members by helping create a shared, distributed ledger of information that can be accessed by all member entities, giving everyone access to the same up-to-date information in real-time. It also helps in reducing the presence of middlemen across the value chain, helping bring down the administrative expenses incurred throughout.
How Manufacturers can transform Lead-to-Cash Lifecycle with robust Configure-Price-Quote Solutions
Which is the ‘hottest’ enterprise app generating the biggest buzz currently? For manufacturers like you, the answer is likely to be Configure-Price-Quote (CPQ). In fact, Gartner paints a very positive outlook for adoption of this software, predicting the segment to expand at an annual growth rate of 20% through 2020.
Riding the Next Wave of Mobility: How 5G and IoT will Converge to Shape Tomorrow’s Connected Car
Convergence is happening all around, and rapidly. The distinction between the physical and digital worlds is increasingly getting blurred across industries, both in business-to-business (B2B) and business-to-consumer (B2C) context. The automotive industry is no different.
Krishna Pillai has extensive experience in semiconductor manufacturing automation. He has led automation solutions in 200 mm and 300 mm Fabs and Assembly Test Factories for many semiconductor clients. Krishna has an MBA from Missouri State University and is certified in PMP, Six Sigma Green Belt.
Ravi Krishnaiah is a veteran in Manufacturing solutions and a key consultant in designing, developing and delivery manufacturing solutions. He is a specialist in Substrate Manufacturing, Front-end Wafer Manufacturing & Assembly, and in Sort & Test projects in .com applications.
Sivacharanreddy Peddireddy has more than a decade of experience working on active data warehousing solutions. As an architect, he has designed and developed Supply Chain Planning, Manufacturing, Logistics and Product Quality BI solutions in the Semiconductor industry.
Rohan Rajadhyaksha has a strong experience in Data Integration and Analytics. Rohan has driven large development programs in data warehouses and is an SME in Finance, Sales & Marketing, Supply Chain Planning, Product Manufacturing and Quality BI solutions.
Vishal Bhargava is a lead consultant in the IoT space, with 18 years of industry and consulting experience, in discrete and continuous manufacturing. He has worked in India, North America, Europe and Asia for providing manufacturing solutions in the field of Smart Manufacturing and Industry 4.0 Initiative.