BRAND CIRCLE
Delta’s big data analytics and cross-factory management enhances process control for semiconductor manufacturing
Text by IABG 2020/08

Delta recently introduced a semiconductor manufacturer in northern Taiwan to a statistical process control (SPC) system for better control of processes. The manufacturer owned multiple factories for wafer and die testing and IC packaging. Delta set the machine-to-machine communication specifications and instructed the manufacturer to install and operate the SPC system. With the integration of the SPC system and a manufacturing execution system (MES), users can monitor all the big data in real time by simply operating the user-friendly interface. All manufacturing processes are under control and problems can be immediately resolved. 

This case adopts Delta’s Statistical Process Control System DIASPC, which integrates with the customer’s MES system to collect and upload the big data for IC manufacturing to the Cloud via standardized communication protocols. The DIASPC systemizes the IC production process, presents the analyzed data in various reports, and significantly reduces the time for manual data acquisition and analysis to increase yield. 

The Delta’s DIASPC system can analysis the big data and cross-factory management via the web-based platform and diversified reports to increase yields, and manage multiple factories.

The DIASPC system can be integrated with a manufacturing execution system (MES) to collect and upload big data to the Cloud, increase yields, and manage multiple factories