Services available: industrial statistics

1. SPC for nonnormal distributions.
• The problem: what if it's not a bell curve?
• The solution (and why the central limit theorem doesn't help!)
• Treatment of the gamma distribution, including sample averages (x-bar chart for a gamma distribution)
  
• Process capability indices for nonnormal distributions
2. Process capability indices
• Many customers demand process capability index calculations (Cp, Cpk). They are very straightforward as long as the process follows a normal distribution (bell curve).
• Techniques exist for calculating indices for nonnormal distributions and distributions with nested normal variation sources.
• Process capability indices are subject to fairly wide confidence intervals unless you have plenty of data.
3. Consulting
• Statistical process control
• Design of Experiments: including nonparametric methods for when the traditional ones (ANOVA, factorial, regression) don't work.
4. Training for your workforce
• Statistical process control (SPC) for operators, engineers, and technicians. See Levinson and Tumbelty, SPC Essentials and Productivity Improvement: A Manufacturing Approach from ASQ Quality Press. (Disclosure of my relationship to this product: my former employer receives all royalties.)
• Understanding variation and accuracy: animated targets, histograms, and control charts show how SPC works.
•  Animated control chart simulator designed to teach your production staff how to read and interpret control charts in less than an hour.
  
• Design of Experiments (DOE)
• Currently available: a six-hour overview for people with no statistical background. It does not make them into industrial statisticians (this requires several college-level or even graduate-level courses) but it equips them to know what methods are available and when they should be applied.