Reliability

Three consecutive steps to focus on are recommended:

1.       Predecessor Data analysis

Often, companies have already similar products for years on the market. However, a few companies really use the customer feedback from these products to really improve next generations products. So often the feedback data is available in the organization, but somehow the companies do not actively use the data.   

InQuinity is helping you to find, analyze and evaluate the data you have already in a statistical, meaningful approach. Together with you, we will define areas to concentrate on in order to really have the biggest impact.

Tools that might be useful:

·         Pareto analysis

·         Box Plot

·         Time Series Plot

·         Anova test

2.       Reliability Designing

By using proactive quality methods, like Failure Mode and Effect Analysis (FMEA), Poka Yoke, APQP, we can design more reliable products right from the beginning.

3.       Reliability Testing

Often Testing is used to validate the new product, however expertise is missing on how many samples should be tested, what happens if products fail before the desired lifetime and how can the data be interpreted.

Here InQuinity is strongly supporting you. By having deep experience and education in statistical methods, real data can be calculated and helping you to understand your data and discussing it in a professional manner within your company but also with your customers.

Tools that might be useful:

·         DoE

·         Reliability Analysis R(t), PA

·         Success Run test