Vital Methods for Reliability & Quality by Dr. Alec Feinberg  Cost $350 per person 3.5 hours 5/13/2015

This course is designed to help one enhance their background with key topics in reliability and quality as both are paramount in the daily workplace. Knowledge of one without the other will leave gaps in ones capability and be costly in the workplace. Understanding the analytical methods available, can be of great benefit in making the best choices in products development. Excellent reliability is a partner to high quality and vice versa.

This course is put together in a time efficient manner to fit everyone’s tight schedule. We will overview important reliability and quality methods that are used for success from a technical point of view. The course will help the attendee acquire a sound technical foundation.  On the reliability side, we will cover Field Return Analysis, Exponential analysis and basic Weibull Plotting, Weibull Mixed Modes field return analysis, product Strength and Load usage Interference for assessing reliability, and Availability and Sparing. In the quality area we will not spend time on items like house of quality, but rather work on the technical side of the quality area as these are often not well covered in courses. We will cover Understanding and performing Design of Experiments, the related method of Multiple Regression using Excel, Cpk-Yield analysis, Normality, Six Sigma Analysis, Defects per Million Opportunities, Stack Up, SPC Charting, and Lot Sampling. This is an intense course, be prepared for the full session.

We will start on the reliability side with field data. How best to obtain a good MTBF value from return data? What are the best ways to characterize field failure rate. How do we translate MTBF into percent defective? Can we do something like a Weibull plot to assess field data? This will lead us to the basics of Weibull and Exponential analysis and a discussion on mixed modes, multiple distributions in Weibull analysis.

Often our MTBF can be a poor number that we do not wish to present to our customer. We discuss alternatives like providing customer satisfaction through great availability numbers. High availability includes a successful sparing plan. We discuss how to know what spares one should keep for the highest probability of success.

Lastly, in the reliability area we will look at the concepts of strength and load Interference analysis. How can we determine the reliability from knowledge of applied load and product’s strength characteristics?

We will then move into the quality topics diving into the area Design of Experiment (DOE). We will Look at a 2 factor and a 3 Factor L8-type of DOE. Full and fractional DOEs are discussed. We will explain how multiple regression is related to DOE analysis. We will go over the L8 main effects, interactions, and ANOVA table. We then go over some basic quality metrics starting with Cpk, yield, normality and six sigma math and how it is applied. We describe key goals and the best ways to understand how to use these valuable quality tools. We suggest an alternate graphical method to better assess normality other than the bell shaped curve.

We will then look at stack-up which has a compounding effect in parts variation impacting quality control in production. We will go over the basic principles of stack up and also an advanced method where we teach the Monte Carlo stack up approach using Excel.

Studying deviations and defects in this way allows us to move into the area of six sigma which focuses on the improvement of product deviations and defect. Six Sigma is a term that is often confused with the statistic itself. We can compare a six sigma calculator to a Cpk calculator to understand these differences. This will lead us to using the quality statistic of defects per million opportunities in testing?  We cover these key six sigma statistical tools. We will also look at statistical process control charting. When do we pair X-bar charts with R-charts rather than S-charts? How do we define the SPC lot size? Not to be confused with lot sampling. Lot sampling is also covered to understand how to assure proper lot acceptance or rejection. Understanding risks using the Operational Curves (OC), Average Quality Level (AQL) and its related Lot Tolerance Percent Defective (LTPD). These are key metrics to devising a good sampling plan. Sometimes it can actually be cost effective to do double sampling which is also discussed.

For more details click here: 2015 May Vital Methods for Reliability webinar recording description by Dr. Feinberg

To purchase this webinar contact with link above or call 303 655 3051.

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