Effective Yield Management ensures that you minimise scrap and lower the cost of manufacturing. Whether you have one product or a thousand, the effort is worth it.
Take a product with a volume of 100 wafers per month where the yield is 93% and each wafer costs $5000 from the foundry. A yield improvement to 96% means you will save $15,000 per month or $180,000 a year just on that product, while delivering the same number of good dice to your customers.
Large companies will see millions of dollars or savings per annum when an effective yield management strategy is employed. For this you need to have a suitable information system for yield.
Does your company have such a system? If put on the spot, would you be able to answer the following questions for your top volume product in the next few minutes using your current yield management system?
- What is the yield up to today and what is the trend over the quarter?
- What are the highest failing bins and their trends?
- What are the highest failing tests and their trends?
- What impact is Fab having on the wafer sort and final test yields?
- Are the parameters being tested sensitive to the test software or hardware?
- Is the yield always uniform across the wafer? If not, why not?
- What percentage of good units are failed incorrectly because sites aren’t yielding consistently?
- Who is alerted if there are yield, site, bin or parametric issues in production and when and for what were the last alerts sent out?
If you and your engineers can answer these questions in minutes, then you are most of the way to effective Yield Management. If it would take you hours or days to get the information, then that is time that can be saved with a proper information system.
In a highly competitive landscape, why have your engineers waste hours and hours searching for data and generating reports before they can get cracking on finding root cause for yield loss?
At yieldHUB we have effective solutions to help you and your team. Get in touch with us today to unleash the power of your data