Two - three days are spent at the client's facility to better understand the processes, products, human resources and information systems.

In partnership with the client, a comprehensive proposal is written outlining the training requirements and implementation objectives needed to successfully implement Six Sigma within the facility in a timely and effective fashion. Special emphasis will be placed on the client's unique characteristics and needs, particularly in terms of customer satisfaction and profit objectives.

A full menu of statistical and organizational alternatives is available such that any and all aspects of Six Sigma are available to our client companies.

Six Sigma Topic Listing - Basic Course

1. Organizational Components

• Executive Overview
  • Strategy
  • Key Concepts
  • Application
  • Role of Upper Management
  • Roadmap

• Adapting Six Sigma to the Organization
  • Where to Start
  • Preparing Leaders Training the Organization
  • Selecting the Right Projects

• Implementation
  • Identifying Core Processes & Key Customers
  • Defining Customer Requirements
  • Measuring Current Performance
  • Process Improvement
  • Process Design/Redesign
  • Expanding & Integrating Six Sigma Advanced Tools

2. Basic Statistics

• Descriptive Statistics
  • Types of Data and Measurement Levels
  • Charting Data Over Time
  • Summary Data Patterns and Histograms
  • Measures of Central Tendency and Dispersion
  • The Normal Distribution Point and Interval Estimates
  • Confidence Intevals
    • Z distribution of means
    • T distribution of means
    • Chi Square distribuion of variance
  • Tests for Normality
  • Box Plots
  • Probability Terms, Concepts and Applications
  • Probability Distributions
    • Binomial Hypergeometric
    • Poisson
  • Six Sigma Performance Measurements
  • Six Sigma Process Steps
• Statistical Population Tests
  • Basic Concepts and Terms
  • Statistical Risks
  • One and Two Tailed Tests
  • Inference Test Decision Tree Z Test on Two Means
  • t Tests on Two Means
  • Chi Square Test on Two Variances
  • F Test on Two Variances
  • Chi Square Goodness of Fit Test
  • Determining Sample Size

• Statistical Process Control
  • Assignable vs. Common Cause Variation
  • The Central Limit Theorm Rational Subgroups
  • Stability vs. Capability
  • Process Capability
    • Statistical Assumptions
    • Capability Studies
    • Capability Indexes
    • Determining Measurement Capability
  • Characteristics of a Process Under Control
  • Variables Control Charts
    • Interpreting charts Creating charts
  • Attributes Control Charts
  • Acceptance Control Charts

• Design of Experiments
  • Basic Experimental Design and Analysis
    • Orthogonal arrays and fractional factorials
    • Main effects and interactions Level averages and response graphs
    • Mixed level designs
      
  • Intermediate Design and Analysis
    • Blocking, replications,randomization
    • Analysis of variance
    • Signal-to-noise ratio
    • Parameter design and robustness
  • Variation Reduction and Centering of the Mean Application of theQuality Loss Function

• Correlation and Regression Analysis
  • Scatter Diagrams
  • Least-Squares Estimating
  • Creating and Using the Regression Line
  • Standard Error of the Estimate
  • Confidence Intervals Coefficients of Determination and Correlation Model Fitting and Residuals Other Regression Models

3. Additional Topics

• Roll Product Variation Analysis
  • Cross and Machine Direction Variability
  • Typical Roll Product Patterns of Variability
  • The Effect of Roll Product Variability on Outgoing Product
  • Graphical Analysis Options
  • Statistical Analyses Roll Product Process Capability Indexes Roll roduct Physical Quality

• Graphic Precontrol
  • Background and History
  • Implementation and Use

• Short Run SPC
  • Definition
  • Usage Formula Derivations Chart Types
  • Applications

• Cost of Quality
  • Historical Methods
  • Taguchi Loss Function
  • Variable vs. Fixed Cost Method
  • Product Quality vs. Cost ROI Analyses

• Data Base Design
  • Test Data
  • Production Data
  • Matrix Design

• Quality Function Deployment
  • New Products
  • Current Products

• Team Building
  • Project Management Leadership Skills Group Dynamics

• Team-Based Problem Solving
  • PASE
    • Problem definition
    • Analysis of data
    • Solution
    • Execution of plan
  • Root Cause Analysis Process Mapping Other PASE Tools

4. Non-Basic Topics

• Advanced Statistics
  • Non-parametric TestsModel Fitting
  • Reliability
  • Advanced Modeling Advanced Design of Experiments

• Specification Development & Maintenance
  • Components
  • Overt vs. Covert Customer Requirements
  • Taguchi Loss Function Specifications
  • What Makes Specifications "Realistic?"

• Customer Surveys
  • Areas of Success Areas Needing Improvement
  • Competitor Advantages and Disadvantages
  • What Needs To Be Done To Increase Order Size and Frquency?

Call 617-471-3798 or email us  at pjfrost@pjassociates.com for further information.

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