This course teaches you the advanced problem-solving skills you'll need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what you've learned. This course is presented in the classroom in three five-day sessions over a three-month period.
NOTE: Participants must bring a laptop computer running Microsoft Office® to the seminar.
To earn the Black Belt, participants must pass the Black Belt Exam (included in course fee) and successfully complete the Black Belt project.
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings.
You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn the Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as, intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
This Six Sigma Black Belt course has been evaluated and recommended for graduate semester credits by the American Council on Education (ACE). Students can earn up to six semester hours in graduate credit at the discretion of each student's college or university. ACE recommends that the course is equivalent to three semester hours in statistics for quality assurance and three hours in statistical process or design of experiments.
Topic Highlights
- Business process management
- Computer applications
- Design of experiments (DOE)
- Design for Six Sigma (DFSS)
- DMAIIC
- Enterprise-wide deployment
- Lean enterprise
- Project management
- Regression and correlation modeling
- Statistical methods and sampling
- Statistical process control
- Team processes
What You Will Learn
- Analyze process data using comprehensive statistical methods
- Control the process to assure that improvements are used and the benefits verified
- Define an opportunity for improving customer satisfaction
- Implement the recommended improvements
- Improve existing processes by reducing variation
- Measure process characteristics that are critical to quality
Course Content
Introduction
Projects
Introduction to Statistics
Descriptive
Probability and Probability Distributions
- Definitions
- Rules
- Hypergeometric
- Binomial
- Poisson
- Normal
- Exponential
- Chi Square
- F
- Student t
Confidence and Confidence Intervals
- Means
- Standard Deviations
- Proportions
Tests of Hypothesis
- Means
- Standard Deviations
- Proportions
Design of Experiments
- Concepts
- ANOVA
- Factorial
Statistical Process Control and Process Capability
- Variables
- Attributes
Process Capability
Short Run SPC
Acceptance Sampling
Reliability
Measurement Systems Analysis
Goodness of Fit Testing
Regression and Correlation
- Linear
- Curvilinear
- Multivariate
Six Sigma Philosophy and Structure
Project Management
Teamwork
Cost of Quality
FMEA Exam
Fee:$7,245 ($5,995 if member of IIE) Please note you can join IIE for an annual $144 fee, plus a $15 processing fee for the first year.
Class Hours:8:30 AM to 4:30 PM each day.
Contact If you have any questions about this course,
please call us at 770-517-7944 or send an e-mail to Larry@WhittingtonAssociates.com.
Whittington & Associates provides training, consulting and auditing services for
management systems based on
ISO 9001, ISO/TS16949, ISO/TS 29001, TL 9000, AS9100, ASS9110, AS9120, ISO 13485,
ISO 27001, ISO 20000, and ISO 14001.
