Do you face scientific, engineering or business challenges that can’t be solved by an appeal to expert judgment, simple spreadsheet analysis, or by varying only one thing at a time? Do you seem to have more problems than time available to solve them? Are you forced to regularly cut corners, limiting your understanding of the real drivers of process robustness, effectiveness and efficiency? Does the need to fix problems with existing processes limit the time you can spend on innovating and developing new processes and products?
See how existing users of JMP® software are already using new or existing data to gain the insights to fix such issues quickly and permanently, giving their organisations a competitive edge now and the ability to successfully innovate for future growth.
Sometimes you may not already have the appropriate data to solve a problem – you may have collected data for a different purpose so it is not directly relevant, or key variables may have been varied in the same way at the same time. Sometimes the processes you are investigating are so new there is limited prior data available. Learn how JMP users in these situations define the most cost-effective plan to collect new, relevant data and analyse it simply and quickly to solve a problem.
Via real-world case studies you, too, can discover best practices for defining new, cost-effective data collection plans using recent advances in design of experiments (DOE), statistically model the important patterns of variation in the resulting data, and visually interact with these models to identify optimum and robust operating conditions.
|Types of challenges that benefit from Design of Experiments|
|Driving new product introduction by enabling processing technology improvements: A case study in data mining and definitive screening|
|Optimising a manufacturing process to increase yield and product quality: A case study in exploratory data analysis of production history and definitive screening|