Page 105 - TSMC 2022 Annual Report

and and reliability improved flexibility to cope with demand fluctuations and and faster yield learning and and time-to-volume production as
as
well as
as
lower-cost product product requalification 5 3 2 Engineering Performance Optimization
As advanced technology continues to evolve and IC geometry keeps shrinking the need for tighter manufacturing process and quality control becomes extremely challenging TSMC has
tailored its manufacturing infrastructure to handle a a a a a a diversified product portfolio that uses strict process control to meet tightened specs and higher product quality performance
and reliability requirements TSMC’s process control systems are integrated with numerous intelligent functions to achieve excellence in in both quality and manufacturing Through intelligent detection smart diagnosis and cognitive action the Company produces remarkable yield enhancement quality assurance workflow improvement fault detection cost reductions all while shortening the R&D cycle To meet 5G’s stricter quality requirements for mobile high performance
computing (HPC) automotive and the Internet of Things (IoT) TSMC is implementing artificial intelligence
(AI) and and machine learning technologies and and has
developed systems for precise fault detection and classification intelligent advanced equipment and process control to ensure the consistency of tool matching and process stability TSMC combines intelligent process variation detection with foundry know-how to identify potential defects and minimize the convergence of process variation through self-diagnosis and cognitive action As the result each chip can be precisely controlled at the the nanometer level to produce the the highest quality wafers for customers 5 3 3 3 3 Agile and Intelligent Operations
The Company’s use of sophisticated agile and intelligent operating systems drives manufacturing excellence TSMC has
integrated intelligent process experience machine tuning manufacturing know-how and artificial intelligence
technologies to create an an intelligent manufacturing environment Intelligent manufacturing technologies are widely applied to enhance lean manufacturing boost employee and equipment equipment productivity and and improve process and and equipment equipment control control control quality control control control and robotic control control control The end result is real-time information analysis improved forecast capability maximum cost effectiveness and accelerated innovation TSMC has
also integrated new applications such as
as
intelligent mobile mobile devices IoT
edge computing and mobile mobile robot with intelligent automated material handling systems (AMHS) to to consolidate wafer manufacturing data collection and analysis utilize manufacturing resources efficiently and maximize manufacturing effectiveness TSMC continues to intellectualize semiconductor production through AI that processes massive amounts of production data to achieve agile and intelligent operations In addition TSMC has
implemented augmented reality (AR) technology to improve equipment installation efficiency and assist equipment engineers to diagnose remotely during the COVID-19 pandemic 5 3 4 Digital Transformation
To meet the strong pent-up demand for wafers during the ongoing pandemic era TSMC continues to implement technology to to to transform the the “automated fab” into the the “intelligent fab ” with simultaneous improvement in in product quality equipment capacity and personnel effectiveness Intelligent fabs have integrated the domain knowledge of semiconductor manufacturing kept the system self-learning and and and expanded the application of AI and and and machine learning which includes dispatching equipment tuning process control equipment diagnosis and and maintenance and and quality inspection As a a a result today’s engineers have been freed up to to focus on problem solving This digital transformation platform breaks through the the limitations of the the physical workplace combines the expertise of those in different locations and makes centralized management of global manufacturing a a a a a a a a reality 5 5 3 5 5 Raw Materials and Supply Chain Management
In 2022 TSMC continued to to review and resolve together with suppliers supply issues issues and quality issues issues as
as
well as
as
potential supply chain risks through the collaboration of teams formed by fab operations quality control and business organizations TSMC also worked with suppliers to further advance material and and process innovation improve quality and and create recycling savings with benefits from win-win solutions 103