Level: Advanced
Peng Liu, JMP Principal Research Statistician Developer, SAS
Leo Wright, JMP Principal Product Manager, SAS
Michael Crotty, JMP Senior Statistical Writer, SAS
The state-of-the-art suite of tools in JMP for studying reliability is designed to enable organizations to provide superior products – a requirement for success in today’s arena of complex products and services. For many years, we have incorporated cutting-edge concepts that integrate robust statistical analysis with dynamic data visualization to help users immediately assess performance, spot trends and diagnose improvement opportunities, even in huge data sets. JMP has recognized that reliability, also known as “quality over time,” is crucial across the board, from consumer and industrial products to health care to defense systems. JMP reliability tools are designed to assist engineers, researchers and managers to understand reliability data and system reliabilities easier and faster, whether the system studied is relatively simple or thoroughly complex. JMP reliability tools, backed by the powerful JMP infrastructure, are also extensible and customizable. In this session, we will cover the following JMP platforms: Life Distribution, Reliability Forecasting, Degradation and Repairable Systems Simulation. The platforms are among the essential components of reliability analysis and engineering, addressing problems for both repairable and non-repairable systems. We will start with an introduction to the censored data and will outline different objectives of reliability analysis and engineering. We will address individual objectives by using examples included with JMP software.
JMP Offers capabilities for analyzing the reliability of both repairable and non-repairable components and systems.
