Institute of Applied Statistics
Practical Training for Solving Problems
Integrated Circuit (IC) Component Reliability
- For Engineers and Technicians
- 16 Hours in Two Days or Four Half Days
Course based on the text Applied Reliability, 2nd ed., by Tobias and Trindade. Emphasis on practical statistical techniques for planning reliability studies and for analyzing reliability data. Topics include: the fundamentals of descriptive statistics, reliability terminology, calculations under various lifetime distributions (exponential, Weibull, and lognormal), graphical analysis, accelerated testing and modeling, system models (parallel, serial, active and standby redundancy), and projection to usage conditions. Demonstration of features in Microsoft EXCEL useful for solving reliability problems. Concepts illustrated using many examples from the semiconductor industry.
Quality Control in Reliability
- For Engineers and Technicians
- 4 Hours in One Half Day
Introduction to the binomial, Poisson, and hypergeometric distributions, confidence limits for low PPM, acceptance sampling plans, operating characteristic curves, acceptable quality level (AQL), average outgoing quality (AOQ), average outgoing quality limit (AOQL), lot tolerance percent defective (LTPD), statistical process control (SPC) for reliability, and cumulative count control (CCC) charts for low PPM processes.
Systems and Equipment Reliability
- For Engineers and Technicians
- 4 Hours in One Half Day
Coverage of repairable system reliability. Topics include repairable versus non-repairable systems, renewal processes, graphical analysis, spare parts provisions, Poisson process, MTBF demonstration, confidence limits, testing for trends, reverse arrangement test, composite test, non-homogeneous Poisson processes (NHPP), models, software reliability, and simulation.
Reliability Overview
- For Managers, Engineers, Technicians, Sales, and Marketing
- 4 Hours in One Half Day
Class designed for managers and other individuals who need to understand reliability terminology and concepts, especially for dealing with customers. What's a FIT? What's an acceleration factor? What's the difference between defect mechanisms versus competing risks? What's the relationship between mean time to failure and failure rate? The overview explains clearly the statistical tools and approaches applicable to reliability. Participants learn the terminology and tools of reliability analysis in an easy to understand manner. Emphasis is on reliability considerations across product design, development, manufacturing, assembly, and test. Participants discover how field reliability is predicted from stress studies. The benefits of accelerated testing are highlighted. Models for reporting reliability results to customers are described.
Courses Offered in Design of Experiments
- For Engineers and Technicians
- 16 Hours in Two Days or Four Half Days
Based on the text Statistics for Experimenters by Box, Hunter, and Hunter, this course emphasizes practical statistical techniques for planning and running statistically designed experiments. Coverage includes comparing two treatments, blocking and randomization, comparing many treatments, interactions, and factorial designs. Graphical methods for analysis are emphasized. Features in Microsoft EXCEL and SAS JMP useful for constructing and analyzing designed experiments are demonstrated. Concepts are illustrated using many examples from the semiconductor industry.
Fractional Factorial Designs and Response Surface Methods
- For Engineers and Technicians
- 16 Hours in Two Days or Four Half Days
Topics include factorial and fractional factorial designs, resolution, fold-over designs, residual analysis, modeling, linear and non-linear regression, response surface methods, components of variance, nested and split plot designs, Taguchi?s contributions, time series and serial correlation, and statistical software (EXCEL and JMP) for DOE.
Design of Experiments Overview
- For Managers and Engineers
- 4 Hours in One Half Day
DOE for Managers. This class is designed for managers and other decision-makers who need to understand how design of experiments (DOE) can help achieve and maintain a competitive advantage. The overview explains clearly, using many simple graphs, the benefits of using DOE in solving problems and improving processes. The presentation emphasizes how to improve a product?s quality and cost characteristics and utilizes a manager-to-manager approach. Participants learn which questions to ask when their technical staff is designing experiments, how to represent and interpret experimental results, and how to choose among courses of action.
Courses Offered in Statistical Process Control (SPC)
- For All Employees
- 4 Hours in One Half Day
Statistical Process Control and Problem Solving Tools. Concepts of SPC. The seven QC tools. Quality philosophies of Deming, Juran, and Crosby. Control charts and process capability. Benefits of team approaches.
Introduction to Statistical Process Control (SPC)
- For Engineers and Technicians
- 16 Hours in Two Days or Four Half Days
Introduction to Statistical Process Control. The fundamentals of SPC, including control charts, capability studies, metrology, components of variance, graphical analysis, process troubleshooting, choosing sample sizes, and acceptance sampling. Software (EXCEL and JMP) for SPC.
Courses Offered in Statistics Using EXCEL
- For Administrators and Engineers
- 4 Hours in One Half Day
Forecasting methods are applicable to manufacturing, engineering, sales, marketing, and administration. This class introduces concepts of statistical forecasting in a straightforward and intuitive manner. The course is user-friendly and shows participants how to apply the analytical features of EXCEL in making forecasts. Participants will learn simple - yet highly effective - techniques for prediction. The topics include: classical time series, moving averages (seasonal variation and cyclical effects), linear regression (trend analysis), serial correlation, exploration of stationary and non-stationary processes, decomposition, superposition, and checking models for fit. Graphical techniques are emphasized. We demonstrate several practical but simple algorithms for estimating future (e.g., end of quarter) results based on current (e.g., weekly) data.
- For Administrators and Engineers
- 4 Hours in One Half Day
Statistical Analysis in EXCEL. This class presents important ideas of graphical excellence and introduces new and powerful ways to portray complex data. We illustrate some highly useful tools in EXCEL for presenting and analyzing data. The subject matter is communicated in a non-technical, user-friendly manner, involving active student participation. The course provides administrators and engineers with simple yet effective techniques to visualize, analyze, and improve operational processes. Examples come from manufacturing, engineering, and administration. The topics include: graphical presentation of data, descriptive statistics, histograms, correlation, and regression.
Learn how to use the SAS Statistical Software JMP that runs on PCs and MACs.
Special statistical courses can be created that are tailored to the needs of the customer.
For information, contact Dr. Dave Trindade, 6005 Assisi Court, San Jose, CA 95138-2316. Telephone is (408) 532-1219. Email to: dave@trindade.com.
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