Abstract

In semiconductor manufacturing, yield optimization is the primary determinant of profitability, directly impacting production costs and product longevity. As manufacturing demands complex front-end and back-end processing, the risk of process variations causing defects has increased exponentially.

While traditional methodologies such as statistical process control (SPC) and failure mode and effects analysis (FMEA) provide stability, they are insufficient for scaling modern data ingestion.

This white paper proposes an integrated, AI-enabled yield analytics platform. With AI-driven predictive modeling, manufacturers can identify root causes with greater precision and automate adaptive process adjustments, enabling rapid yield ramp-up during new product introductions.

Advance Modal Components
Explore AI-enabled yield analytics in semiconductor manufacturing
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Key Insights

Yield Optimization Drives Profitability

Yield optimization directly impacts production cost, product longevity, and profitability in semiconductor manufacturing environments.

Limitations of Traditional Analytics

Traditional methods like SPC and FMEA are insufficient to scale modern data ingestion and manage increased process complexity.

AI Enables Predictive Yield Intelligence

AI-driven predictive modeling helps identify root causes with greater precision and enables automated process adjustments.

Faster Yield Ramp-Up

AI-enabled strategies support rapid yield ramp-up during critical new product introduction phases.

Integrated Analytics Across Data Sources

An integrated platform enables the use of multi-domain data, including process, equipment, and test insights for yield analysis.

About the Author
Surjit K Lahiri
Group Practice Head—Semiconductor Manufacturing & Data Storage, Tech Mahindra

With over three decades of experience across industrial automation, cyber-physical systems, high-tech manufacturing, machine vision, cloud, data storage, and IoT, Surjit has built and scaled semiconductor and data-storage services businesses from the ground up. He has driven multi-million-dollar deals with global OEMs, fabs, OSATs, hyperscalers, and ISVs through consulting-led solution architecture and AI/ML-driven engineering.Read More

With over three decades of experience across industrial automation, cyber-physical systems, high-tech manufacturing, machine vision, cloud, data storage, and IoT, Surjit has built and scaled semiconductor and data-storage services businesses from the ground up. He has driven multi-million-dollar deals with global OEMs, fabs, OSATs, hyperscalers, and ISVs through consulting-led solution architecture and AI/ML-driven engineering. Before Tech Mahindra, Surjit held leadership roles at Mindteck, Novellus Systems, and Siemens, shaping portfolio-level innovation and complex capital-equipment software programs.

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Dan Miklovic
Expert Advisor, Third Eye Advisory

Dan is recognized as a thought leader and one of the top marketplace influencers in the asset performance management and manufacturing operations sectors. His coverage spans all forms of heavy industry, from A&D to utilities, and covers topics such as MES, EAM, QMS, PLM, EH&S, and AI/ML as applied to industrial operations. Dan is involved in both professional and amateur auto sports as an emergency services official and race operations director.Read More

Dan is recognized as a thought leader and one of the top marketplace influencers in the asset performance management and manufacturing operations sectors. His coverage spans all forms of heavy industry, from A&D to utilities, and covers topics such as MES, EAM, QMS, PLM, EH&S, and AI/ML as applied to industrial operations. Dan is involved in both professional and amateur auto sports as an emergency services official and race operations director. He is heavily involved in the start-up community as a mentor and advisor for entrepreneurship programs at Lindenwood University, Washington University, University of Missouri – St. Louis, and the eFactory program at Southwest Missouri University, helping clients to validate product strategies and develop business plans to entice investors.

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