SPECIALIZED TOOLS TRAINING
One of Saral's missions is to facilitate learning and help our clients obtain an expertise in the tools that will lead them to on-going successes.Our Keep It Simple Statistically ( KISS ) approach to consulting and training allows non-statisticians in industry, government, and the service sector to embrace the philosophy and the implementation of continuous quality improvement. More importantly, we commit ourselves to assisting our clients in gaining a mastery over those skills that will in turn provide them with a substantial Return on Investment.
Our on-site training courses are tailored to meet the specific needs of our individual clients. These courses allow us the opportunity to cite examples of relevance to the course participants and to provide them with an opportunity to address real issues from the work environment. (Many of these courses are also available through our Open Enrollment Program. Please check the schedule for dates of availability.) Additional courses which are offered at the client's facility are outlined under the Lean Six Sigma Implementations tab.
Data Mining for the Six Sigma Practitioner (3 days):
Six Sigma projects can be very data intensive and the tools taught in traditional Six Sigma curriculam are often inadequate for solving the problem at hand. While there are many aspects and definitions of data mining, the basic idea is to find patterns in data sets. Although marketed for large databases, the techniques are applicable to any size data set. While data management is an important subject, this course will focus on the statistical models used in data mining. It will cover the most useful tools such as linear regression, logistic regression, classification trees, discriminant analysis, neural networks, clustering, nearest neighbors, bump hunting, and market basket analysis.
Designed Experiments (5 days)
Participants in Design of Experiments (DOE training) will learn the details necessary to effectively plan, design, conduct, analyze and validate experiments and will practice these skills during in-class experiments. The intended audience is anyone who desires to become a practitioner of DOE. Emphasis is on giving the attendees the most efficient methods for collecting data and analyzing their systems. We use a blended approach which will give the students a variety of designs from which to choose. Taguchi, Plackett-Burman, and classical designs provide the students with a complete tool bag, allowing them to screen or build non-linear models.
Failure Mode and Effect Analysis (FMEA) (1 to 2 days)
This one to two day seminar focuses on how to develop a methodology for finding problems before they occur. We use a team approach to define, identify, and eliminate known and/or potential failures (deficiencies, problems, errors, risks, mistakes, concerns) from the system, design, process, and/or service, and to evaluate their effects before they reach the customer.
Introduction to Reliability Testing and Analysis (2 days)
In today's highly competitive global economy, customers demand and expect cost effective products that are safer and which perform the intended function for a stated period of time. A product's reliability may be the main source of its competitive advantage over other similar products. In this course, through the use of computer generated results, engineers and managers will learn how to interpret and present reliability information. Basic high school mathematics will be used with the incorporation of exponential and logarithmic functions along with a just-in-time math review. This course covers much of the material contained in the American Society for Quality Certified Reliability Engineer's body of knowledge.
Statistical Tools, SPC & MSA (4 days)
This course emphasizes decision-making tools, variance reduction, Statistical Process Control (SPC) and Measurement Systems Analysis (MSA). Participants learn the differences between special and common causes of variability. Many graphical methods of presenting and interpreting data are covered. We also present the basic concepts of probability, hypothesis testing, and regression. Our proven and powerful methodology is taught with a "Keep It Simple Statistically" (KISS) approach and makes use of many simulations and hands-on exercises with a variety of process examples to ensure that participants have a practical, working knowledge of the tools.
Variance Reduction (1 day)
This is a one-day workshop designed specifically for operators, technicians, and administrative personnel. It addresses the tools that can be applied daily to reduce variability, control processes, and reduce the cost of poor quality (COPQ). Participants are motivated to apply the variance reduction tools directly to their on-the-job processes as we show them how reducing variability reduces COPQ and thereby enhances job security.
Customized Courses - Saral develops customized courses to meet the needs of our clients.Contact email@example.com for information.
E-LEARNING SPECIAL TOPICS AVAILABLE
These courses may be taken on an individual basis for initial training or for review or refresher purposes. To view a complete course description with module titles, click on the appropriate link. Course registration is handled through website.
Course 01 -- The Basics of Six Sigma
Course 02 -- The Soft Side of Six Sigma
Course 03 -- Making Sense of Data Using Graphical and Numerical Tools
Course 04 -- Measurement System Analysis
Course 05 -- Analyzing the Process and Prioritizing the Focus
Course 06 -- Detecting Significant Differences from Sample Data
Course 07 -- Process Control and Process Capability
Course 08 -- Understanding Data Distributions and Their Applications
Course 09 -- Introduction to Regression
Course 10 -- Design and Analysis with 2-Level Factors
Course 11 -- Summary of 2-Level Designs with Rules of Thumb
Course 12 --Three-Level Designs with Robustness and Multiple Response Optimization
Course 13 -- Historical Data Analysis
Course 14 -- Special Topics