This complimentary video focuses on reliability and survival analysis that, if performed correctly, can help to dramatically improve a user’s experience of product or service quality over time.
In manufacturing, “reliability” analysis usually refers to the study of part performance or failure. In biology and medicine, similar analysis is called “survival” and refers to the analysis of specific events like the onset of disease or death. In both cases, the goal is to understand the rate of such events over time and often to predict their occurrence under different conditions.
Thought leaders Bill Meeker and Chris Gotwalt will guide you through insightful case studies, both simple and advanced. In their discussion, they will highlight trends in the statistical assessment of reliability and survival, and share techniques to help you make more confident, more powerful predictions from your time to event data.
Through the examples, this session will help you gain a better understanding of:
- Life distribution fitting
- Accelerated life testing
- Degradation studies
- Simulation and system availability
Reliability and survival estimation analysis are critically important strategies for stakeholders looking to improve processes across a wide variety of industries. The speakers will discuss trends in the statistical assessment of product reliability and demonstrate a number of technical approaches including life distribution fitting, accelerated life testing and degradation studies in JMP, simulation and system availability.