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Dartmouth / Binghamton University Lean Six Sigma Green Belt: Winter 2012

January *11-13, 2012 at Binghamton University, Binghamton, New York

*Prerequisite Statistics Instruction on January 10, 2012


About the Course

Some of today's most respected companies—including GE, Motorola, Allied Signal, and Sun Microsystems—have used Lean Six Sigma to improve their organizations. Join the ranks of these successful corporations and let Lean Six Sigma work for you.

Lean Six Sigma is a combined process-improvement methodology that accelerates processes, increases efficiency, and reduces or eliminates variation. Competition for the same customers is increasing throughout the corporate world, putting company profits on the line; customer expectations are changing rapidly as the rate of information increases; and costs are escalating. Now more than ever, achieving process excellence is essential.

Our Lean Six Sigma program gives you valuable business tools to achieve process excellence and help your team:

A Lean Six Sigma Green Belt (LSSGB) program, offered jointly by Dartmouth's Thayer College of Engineering, the Systems Science and Industrial Engineering (SSIE) Department at Binghamton University  and the Binghamton University IIE Student Chapter is planned for January 2012.

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Who Should Attend

This short course is designed for students that have some coursework background in probability and statistics and/or quality control. In order to be a certified green belt, the student will be expected to pass a take-home examination within one week of the end of the course.  A certificate will be provided to those who successfully complete the course, which is nationally recognized.

*Students who do not have current knowledge/education in the probability and statistics and/or quality control may enroll in this course. However, they are also required to attend the prerequisite statistics day of instruction (at an additional cost) on January 10, 2012.

This course is open to all current BU students as well as alumni, non-BU students, and members of industry, non-profits, and government agencies.

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Requirements

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Materials Provided

Your fees cover all instruction, box lunch, and snack breaks.  Parking is not included.

Fees also cover:

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 Location/Distance Learning

The course will be held on the Binghamton University campus in Academic Complex, Bldg. A, Room AA-G008.

Students will be eligible to take the course through distance learning via ECHO 360.  You must indicate you wish to take the course via distance learning on the registration form.  Each day will be recorded in two sessions daily  - morning (9am-noon) and afternoon (1-5pm).  A link to each session will be provided to those students enrolled for distance learning to view the session within 3-4 hours after the recording. Sessions will be available to view online via ECHO 360 for up to one week after the final exam is due.

In order to utilize distance learning, the student must have a computer with a High Speed Internet connection in addition to the other requirements.

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COURSE OUTLINE:

Prerequisite Statistics: Tuesday, January 10, 2012 (9am-5pm)

* For those who do not have prerequisite coursework in statistics.


Day One Outline: Wednesday, January 11, 2012 (9am-5pm)

Continuous Improvement

  1. Historic Examples
  2. Metrics
  3. 6-Sigma
  4. LEAN
  5. LSS

DMAIC

  1. Definitions
  2. Tools
  3. Applications
  4. Detailed Example

Introduction to LEAN

  1. Principles
  2. Flow
  3. Speed / time
  4. 7 sources of waste
  5. Pull systems

Visual Management / Mapping

  1. Visual Management
  2. Flow Charts
  3. Process Mapping

Day Two Outline: Thursday, January 12, 2012 (9am-5pm)

Projects / Teams

  1. Types of Projects
  2. Project Planning
  3. Total participation
  4. Types of Teams
  5. Membership
  6. Organization

Statistics Review

  1. Probability
  2. Probability Examples
  3. The Binomial Distribution (BD)
  4. BD Examples
  5. The Poisson Distribution (PD)
  6. Poisson Examples
  7. The Normal Distribution
  8. BD and PD Normal Distribution Approximations
  9. Confidence Limits of the Mean
  10. Confidence Limits of the Variance
  11. Hypothesis Testing
  12. Type I and Type II Errors
  13. Examples
DOE
  1. A Layman's View on DOEs
  2. A Simple DOE done by Hand
  3. Setting Up a DOE
  4. Examples: Solving Two DOEs with Minitab
  5. Interpreting the DOE Results
  6. Planning the Follow On Experiment

 

Day Three Outline: Friday, January 13, 2012 (9am-12 noon)

Statistical Process Control (SPC)

  1. Special Cause and Common Cause
  2. Accuracy and Precision
  3. Gage R & R Concept
  4. Gage R & R Example
  5. Variables and Attribute Data
  6. The Shewhart Rules
  7. Xbar- R Charts
  8. Xbar-R Examples with Mintab
  9. Pareto Charts
  10. Cp and Cpk
  11. Why "Six Sigma" is really 4.5 Sigma
  12. Minitab Capability Six Pack Examples

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Instructor

Roy W. LathamDr. Ronald C. Lasky - "Dr. Ron" is an Instructional Professor at Dartmouth College, the Director of the Cook Engineering Design Center, and a Six Sigma Master Black Belt Instructor . 

B.S., Engineering Physics, Cornell University 1970
M.S., Applied Mathematics, Binghamton University 1974
Ph.D., Materials Science, Cornell University 1986
 

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Fees and Registration

SAVE MONEY!  REGISTER BY DECEMBER 2nd to receive EARLY BIRD RATES!

2.5 day GREEN BELT course only (January 11-13, 2012)

  • CURRENT BU STUDENTS: $270 (early bird by December 2nd 4pm), $300 (regular fees start December 3rd)
  • NON-BU STUDENTS, BU ALUMNI, INDUSTRY: $540 (early bird by December 2nd 4pm), $600 (regular fees start December 3rd)

3.5 day PREREQUISITE STATISTICS course + GREEN BELT course (January 10-13, 2012)

  • CURRENT BU STUDENTS: $360 (early bird by December 2nd 4pm), $400 (regular fees start December 3rd)
  • NON-BU STUDENTS, BU ALUMNI, INDUSTRY: $630 (early bird by December 2nd 4pm), $700 (regular fees start December 3rd)
Registration will end on Tuesday, January 3rd at 5pm.
This course is limited to 130 students maximum.  Registrations received after this enrollment will be placed on a waiting list.

Go to our registration and fees page for more information.

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Last Updated: 5/8/12