Docsity
Docsity

Prepara tus exámenes
Prepara tus exámenes

Prepara tus exámenes y mejora tus resultados gracias a la gran cantidad de recursos disponibles en Docsity


Consigue puntos base para descargar
Consigue puntos base para descargar

Gana puntos ayudando a otros estudiantes o consíguelos activando un Plan Premium


Orientación Universidad
Orientación Universidad

Temario del curso Six Sigma Black Belt, Guías, Proyectos, Investigaciones de Ingeniería Empresarial

Temario del curso Six Sigma Black Belt

Tipo: Guías, Proyectos, Investigaciones

2022/2023

Subido el 07/06/2023

1 / 7

Toggle sidebar

Esta página no es visible en la vista previa

¡No te pierdas las partes importantes!

bg1
1
SIX SIGMA BLACK BELT TRAINING
This four-week hands-on workshop provides participants with the detailed methodology
and tools of Six Sigma to lead their organization toward “World Class” status. Emphasis
is on: gaining process and product knowledge with critical thinking; variability reduction;
and developing leaders in the organization who are focused on improving customer
satisfaction, decreasing defects, cost and cycle time, while generating business growth
and breakthrough improvements. The proven and powerful Six Sigma methodology is
taught with a “Keep It Simple Statistically” (KISS) approach and makes use of many in-
class examples, simulations, and hands-on exercises with a variety of processes to ensure
that participants have a practical, working knowledge of the tools.
As a part of the course, it is expected that participants come with a project to work on so
that they can immediately apply their knowledge and realize return on investment on a
specific business issue. The course is taught in four one-week sessions, with each week
separated by a month. The time between weeks is designed to facilitate project work.
Our Six Sigma Black Belt Training uses the “Present/Practice/Apply/Review” strategy.
That is, we present tools and methods, give participants the opportunity to practice them
using in-class examples, then apply the tools to their project, and finally review the
results of the application to the projects.
Participants in the Six Sigma Black Belt Training learn the Define, Measure, Analyze,
Improve and Control (DMAIC) strategy for developing and achieving better, faster, and
lower cost products and processes. The intended audience is anyone who desires to
become a practitioner of the Six Sigma methodology and tool set and who will be leading
Six Sigma projects within an organization.
pf3
pf4
pf5

Vista previa parcial del texto

¡Descarga Temario del curso Six Sigma Black Belt y más Guías, Proyectos, Investigaciones en PDF de Ingeniería Empresarial solo en Docsity!

SIX SIGMA BLACK BELT TRAINING

This four-week hands-on workshop provides participants with the detailed methodology

and tools of Six Sigma to lead their organization toward “World Class” status. Emphasis

is on: gaining process and product knowledge with critical thinking; variability reduction;

and developing leaders in the organization who are focused on improving customer

satisfaction, decreasing defects, cost and cycle time, while generating business growth

and breakthrough improvements. The proven and powerful Six Sigma methodology is

taught with a “Keep It Simple Statistically” (KISS) approach and makes use of many in-

class examples, simulations, and hands-on exercises with a variety of processes to ensure

that participants have a practical, working knowledge of the tools.

As a part of the course, it is expected that participants come with a project to work on so

that they can immediately apply their knowledge and realize return on investment on a

specific business issue. The course is taught in four one-week sessions, with each week

separated by a month. The time between weeks is designed to facilitate project work.

Our Six Sigma Black Belt Training uses the “Present/Practice/Apply/Review” strategy.

That is, we present tools and methods, give participants the opportunity to practice them

using in-class examples, then apply the tools to their project, and finally review the

results of the application to the projects.

Participants in the Six Sigma Black Belt Training learn the Define, Measure, Analyze,

Improve and Control (DMAIC) strategy for developing and achieving better, faster, and

lower cost products and processes. The intended audience is anyone who desires to

become a practitioner of the Six Sigma methodology and tool set and who will be leading

Six Sigma projects within an organization.

Course Content, by week

Week 1:

Six Sigma: The Journey Begins

  • The What and Why of Six Sigma
  • Key Elements and Infrastructure
  • Roles and Responsibilities
  • Project selection & tracking
  • Six Sigma Project Master Strategy
  • Course Philosophy and Instructional Approach

What is Six Sigma

  • The Meaning of Six Sigma and How it Relates to a Business Strategy
  • The Definition of a Value Stream
  • Defining Processes Using IPO Diagrams
  • Key Terminology (Distribution, Mean, Median, Standard Deviation, Cp, Cpk, sigma level, first pass yield, defects)
  • PF/CE/CNX/SOP (the first line of defense against variation)
  • Measuring and Understanding the Cost of Poor Quality/Cost of Waste
  • Factors Critical to the Implementation of Six Sigma

Define Phase: Project Definition & Management, Teamwork, Understanding Change, &

Voice of the Customer

  • Elements of the Define Phase of DMAIC
  • Importance of Good Project Definition
  • Importance of Good Project Management
  • Teamwork
  • Understanding Change
  • Voice of the Customer and Brief Introduction to QFD

The Role of Statistics in Process Improvement

  • Applications of Statistics in Decision Making
  • Difference Between a Population and a Sample
  • The Taguchi Loss Function and the New Philosophy of Quality
  • Developing Metrics for our Project and Scorecards
  • Construction and Application of an FMEA
  • Use of the IPO Matrix for Prioritizing Inputs and Outputs

Making Sense out of Data using Graphical and Measurement Tools

  • Graphical Analysis of Data
    • Pareto charts
    • Histograms
    • Box plots
    • Run charts
    • Scatter diagrams
  • Numerical measures
    • Measures of Location
    • Measures of Dispersion
  • Types of Charts
  • Control Limits
  • Out of Control Symptoms
  • Subgrouping Strategy
  • Short Term and Long Term Standard Deviation and Process Capability Measures

Introduction to Regression Analysis and DOE

  • What is Regression and What is it Used For?
  • Terminology Involved in Simple Linear Regression
    • Intercept
    • Slope
    • Prediction Equation
    • Residual
    • R-Squared
  • Use of SPC XL for Regression Analysis and Interpretation of Output
  • Introduction to Design of Experiments

Week 3:

Foundations and Overview of DOE

  • Purpose of Design of Experiments
  • Experimentation Strategies
  • Key DOE Terminology
  • Introduction to Basic Graphical and Statistical Analysis of Data
  • Introduction to DOE KISS Software and Hands-On Experimentation Using the Catapult

Introduction to Design and Analysis

  • DOE 12 Step Process
  • Importance of Planning
  • Graphical and Statistical Analysis of Data
  • Building a Design Matrix
  • Introduction to Fractional Factorial and Screening Designs
  • Selecting the Right Design
  • DOE Examples

Rules of Thumb

  • Sample Size Guidelines for DOE
  • Quick Tests for Differences in Means and Standard Devia tions
  • Selecting the Best Design
  • Determining Statistical Significance
  • Interpreting R-square, Adjusted R-square, Tolerance and P-Values
  • Setting Up, Conducting, Analyzing, and Confirming a Modeling DOE Using the Catapult

Using Regression to Analyze Data

  • Review of Regression Basics and Interpretation of DOE KISS Output
  • Need for Coding of Factor Settings
  • Overview of Residuals
  • Introduction to Historical Data Analysis

Two-Level Design Summary

  • Summary of Two Level Design Types
  • Use and Application of Two Level Designs
  • Concepts of Design Resolution, Generators, and Defining Relations
  • Awareness of Situations Where Standard Designs Will Not Apply and KISS Approaches for Dealing with These Situations
  • Nested Designs
  • Mixture Designs

Three-Level Design Summary

  • Qualitative vs. Quantitative Factors in DOE
  • Summary of Three Level Design Types
  • Use and Application of Three Level Designs
  • Sequential Testing Using the Central Composite Design
  • Setting Up, Conducting, Analyzing, and Confirming a Quadratic Model Using the Catapult

Taguchi, Variance Reduction Methods, Robust Designs, and Multivariate Charts

  • Contributions of Taguchi
  • Variance Reduction Methods
  • Concepts of Robust Designs
  • Introduction to Multi-Vari Charting to Look at Multiple Sources of Variation

The Control Phase (Realizing and Holding the Gains)

  • The Control Phase of DMAIC
  • Control Plans
  • Documenting and Communicating Project Results

Next Steps…The Journey Continues

  • Sources for Continued Learning
  • Continued Learning Through Training
  • Advanced Topics for Black Belts and Master Black Belts
  • High Throughput Testing (HTT)

Week 4:

Putting It All Together: Review of the Six Sigma Tools and Methodology

  • Review of the Six Sigma Master Strategy
  • Additional Practice Using the Tools and Concepts of Six Sigma to Answer Questions and Solve Real World Problems

Course Materials

Participants receive the following materials which are integrated and used throughout the

class:

Participant Guide

Knowledge Notebook

Textbooks:

  • Knowledge-Based Management by Schmidt, Kiemele, and Berdine (Air Academy Press and Associates)
  • Basic Statistics: Tools for Continuous Improvement by Kiemele, Schmidt, and Berdine (Air Academy Press and Associates)
  • Understanding Industrial Designed Experiments by Schmidt and Launsby (Air Academy Press and Associates)

Software:

• SPC XL

• DOE KISS

  • DOE Pro

Prerequisites

Participants are expected to have management sponsorship and a project selected prior to

attending the training. Projects will be worked on over the duration of the course and

should be completed within a reasonable timeframe, typically near the end of the training

but no longer than 6 months following completion of the training.

Participants are highly encouraged to bring a laptop computer to class with Excel 97 (or

above) so that they can install the supplied software and practice using it during many in-

class exercises. A basic working knowledge of Windows and Excel is helpful. Basic

math and algebra skills are also desirable.