SK C&C to introduce smart factory platform for automation of semiconductor parts production process
SK C&C to introduce smart factory platform for automation of semiconductor parts production process
  • Lee Jun-sung
  • 승인 2022.12.15 12:13
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SK Smart Factory / Photo courtesy of SKT

SK C&C will introduce an integrated smart factory platform for automating all processes of semiconductor component production.

On December 14, SK C&C announced that it would launch a smart factory construction project specialized for local semiconductor parts manufacturing plants based on the smart factory platform I-FACTs.

This project was promoted to secure an automation and intelligent operation and management system for each area at the semiconductor glass substrate factory being built by Absolics, a subsidiary of SKC, in Covington, Georgia, USA.

Semiconductor glass substrate is a next-generation semiconductor material that maximizes semiconductor performance and power efficiency compared to the existing Printed Circuit Board (PCB).

Absolics plans to start mass production in earnest from the second quarter of 2024 by establishing a smart factory equipped with an intelligent production system in the US.

SK C&C implements the entire semiconductor glass substrate production process in an automated environment and establishes an integrated operation and management system for real-time monitoring and quality control.

This smart factory platform implements an intelligent logistics system that minimizes operator intervention in conjunction with logistics automation equipment planned and introduced by Absolix, while providing an optimized operating environment for the entire manufacturing system.

It also supports the calculation of efficient operation schedules considering the production process, logistics workload, and movement patterns. It also increases product yield by minimizing production errors with an integrated quality control system throughout the entire process.

The platform monitors all production facilities and production processes in real time, and immediately detects various abnormalities that occur in the stages of product development, mass production, and shipment, from initial defects in glass substrates.

This improves product productivity by minimizing errors by predicting process and facility abnormalities in advance with data collected while tracking the entire production line.

It also establishes a virtual simulation verification system to pre-test major production facilities in a virtual space and supports verification of future operations in advance.


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