Adopt smart process control for lean manufacturing

Overview

Infosys Semiconductor practice enhances computer-integrated manufacturing systems with robotic automation to boost process control and efficiency. Our experts create a bespoke digital twin of the fab ecosystem, spanning devices, process equipment, sub-fab tools, and facilities. Multidimensional digital models enable operations teams to analyze the impact of technology interventions before implementation in the physical environment. This approach maximizes the value of technology solutions such as AI-driven process automation, ML-based analytics, and cognitive applications for diagnostics, planning and decision making.

Virtual representation of connected systems within a factory facilitates a structured approach to integrate smart solutions for leaner processes, thereby boosting productivity and throughput. It enables fabs to implement robotic material handling systems and advanced process and equipment control to meet stringent performance and reliability requirements of shrinking IC geometry. In addition, cognitive automation and harmonization of physical and digital systems in a connected factory boosts quality by ensuring near-zero process variation.

Digital models forecast future events based on past patterns, analyze real-time process and product metrics, and distill insights to improve operational efficiency. For instance, modify the recipe for a batch or lot of wafers to improve yield; or reset control parameters to conserve resources such as water and energy. Notably, precise control of processes across manufacturing phases reduces waste.

Infosys Cobalt, our cloud solutions suite, offers a scalable foundation to navigate Industry 4.0-driven process control. A cloud architecture for industrial automation and control systems drives secure and reliable operations. Automated process control systems transform the manufacturing infrastructure to support a diversified product portfolio. Further, smart processes empower fabs and contract manufacturers to produce smaller chips at speed and scale.