Multivariate analysis, also known as multivariate monitoring, enables the detection of issues that are invisible when viewing individual parameters. … Read More
Multivariate Analysis for Full Process Visibility
Preventing process excursion with AI & yield management software (YMS)
Early detection and analysis of process excursions decreases wafer scraps, prevents yield loss and saves engineering and manufacturing resources. … Read More
What is achievable with a Yield Management System?
Cutting-edge Yield Management Systems integrate Big Data, Smart Data, Machine Learning and AI analytics to enable semiconductor manufacturers to gain deep insight fast and save costs. … Read More
Advanced Quality Module incl. Part Average Testing (PAT)
Automotive and other quality-critical microchip suppliers have specified and rigorous requirements in order to achieve zero defects and enhance quality control and reliability. Part Average Testing (PAT) is one of the fundamental features of the Advanced Quality Module. … Read More
Integrating siloed data in semiconductor manufacturing
By using patented algorithms, the collected data is aggregated and stored in one standardized data warehouse. Once the manufacturing data is combined, it can be analyzed with a yield analytics software which also alerts yield and test engineers of any irregularities occurring in the data. … Read More
DR YIELD presents yield data analytics & AI applications for semiconductor manufacturing at SEMICON West 2022
With increased computational capabilities, the importance of artificial intelligence (AI) and machine learning (ML) in semiconductor manufacturing is ever growing.
At SEMICON West 2022, DR YIELD will present the importance of AI and machine learning in semiconductor manufacturing with a focus on yield data analytics. … Read More
The 10 Biggest Data Challenges of the Semiconductor Industry
Semiconductor manufacturing generates enormous volumes of data. A Yield Management Solution quickly loads the data and transforms it into useful, actionable information. … Read More
Why should test and yield engineers use a yield analysis software for yield diagnostics?
In order to analyze the vast amounts of data coming from the test equipment of semiconductor manufacturers, a premium, powerful software solution is required. High-performing software is a must as it enables fast and efficient processing of massive amounts of data. … Read More
Smart Manufacturing in the Semiconductor Industry
Big data analytics are used in smart manufacturing to streamline the manufacturing processes, optimize the supply chain, analyze tools and eliminate workplace inefficiencies. … Read More
Requirements, or “Where is the pie [chart]?”
Requirements engineering is defining, analyzing and managing customers’ software requirements, resulting in software working successfully for years to come. In the semiconductor industry, the customers’ needs vary greatly, so configuring their solution is always part of the process. … Read More