# Statistics #life-time data #Distribution #R It is a simplified flowchart to roughly describe a product from shipment to repair, and the follow-up data flow until the top issue being identified. Even a bunch of repaired cases received every day, it is hardly to know what’s the defect of the product Until the closed case received in hand. Because it cannot make sure these repaired cases are an abnormal issue, or a specific quality problem, or epidemic, or else….since every product has its own reliability, has a certain failure rate in market. Therefore, it must use a statistics to prioritize the issues from hundreds of products, thousands of components, for quality teams to act effectively. However, if we wanted to get the quality warning earlier to minimize the impact range, the existing index is insensitive to quality warning, since it suits for measuring the product quality performance in the long term. like BMI , It is widely used as a general indicator of whether a person has a healthy body weight for their height. But it is hardly to let you know how’s your status today.