A
Hi,
hope someone can help because we've been trying to solve that for a long time.
Problem: We are launching a new product. The question is: how many of those should we test to ensure that x% of the product will have no failure within the warranty period (5 years). Forecast are a 1000 unit per year will be sold. A 95% confidence level would be appropriate.
We've try to use statistical tool, but we don't know what test or hypothesis would be appropriate. Also, it's a new product with a new process involved and we don't have any historical data.
Usually, we're not testing any, because the process is always the same and our product development tools are good enough to ensure quality at launch.... but for this one, my confidence level is not good and I would like to rely on statistical tools not only on workers experience and actual tools.
Thanks!!!
hope someone can help because we've been trying to solve that for a long time.
Problem: We are launching a new product. The question is: how many of those should we test to ensure that x% of the product will have no failure within the warranty period (5 years). Forecast are a 1000 unit per year will be sold. A 95% confidence level would be appropriate.
We've try to use statistical tool, but we don't know what test or hypothesis would be appropriate. Also, it's a new product with a new process involved and we don't have any historical data.
Usually, we're not testing any, because the process is always the same and our product development tools are good enough to ensure quality at launch.... but for this one, my confidence level is not good and I would like to rely on statistical tools not only on workers experience and actual tools.
Thanks!!!