Reliability is a problem that exists in every link of product design, manufacture and use. Simply put, reliability is the degree to which a product is not prone to failure. After the product leaves the factory, its function and performance will gradually change with the passage of time, which will eventually lead to failure. Although this trend cannot be changed, designing and manufacturing products that do not fail within a specified time is a topic that both enterprises and consumers care about. With the goal of improving reliability, the reasonable application of reliability analysis can help technicians in R&D, engineering, quality and other departments improve the stability of product quality, reduce product life cycle costs and after-sales service costs, and improve customer satisfaction and loyalty Spend.
As a professional statistical quality analysis software, JMP organically combines scientific statistical analysis and dynamic data visualization, and comprehensively covers the software requirements of reliability data analysis and reliability engineering. Through simple and easy-to-use drag-and-drop operations and integrated menus, engineers without statistical foundation can complete the life modeling and prediction of single non-repairable components, repairable products, and even the entire system in one stop. In order to help engineers quickly carry out technical problem analysis and research by mastering easy-to-learn and easy-to-use reliability tools.
This training introduced the JMP reliability analysis platform through the actual cases of customers in the vehicle, lithium battery, electronics and other industries - life distribution, accelerated life test, degradation analysis, warranty reserve prediction, irreparable system reliability analysis, repairable system reliability Simulated application scenarios and operations.
