Participantii la trainingurile Trilex primesc pachetul de training compus din:

• Manual de training
• Exercitii aplicative
• Caiet de exercitii
• CD cu fotoprotocol si aplicatii
• Diploma internationala

Se adreseaza persoanelor care au o formare in Six Sigma (curicula Green Belt), au participat in proiecte Six Sigma si au nevoie sa aprofundeze aparatul matematic statistic si sa se pregateasca pentru examenul de certificare.

La sfirsitul acestui training pentru Six Sigma Black Belt, participanti vor putea sa:

• Aplice principile Six Sigma (DMAIC) pentru imbunantairea proceselor
• Sa conduca proiecte complexe de tip Six Sigma
• Sa stapineasaca metode sttistice avansate pentru analiza proceselor
• Foloseasca un set de instrumente si metode de masurare a proceselor existente si de a stabili care este performanta actuala de la care plecam in efortul de imbunatatire
• Sa stabileasca structuri si metode de control ale proceselor de business

• Manageri de Proiect, Six Sigma Green Belt
• Persoanele care au o deja formare in Six Sigma, au participat in proiecte Six Sigma si au nevoie sa aprofundeze aparatul matematic statistic
• Persoanele care doresc sa se pregateasca pentru examenul de certificare.

Module 1. Define Phase

The Define Phase of the DMAIC methodology introduce the core fundamentals of Six Sigma.

1.1 Understanding Six Sigma

• Objectives of Six Sigma
• Relationship between variation and sigma
• Six Sigma concepts
• Six Sigma implementation model
• Role and responsibilities in Six Sigma

1.2 Six Sigma Fundamentals

• Process. Process Maps. Exercise - Developing a Process Map
• Customer. Identifying the Customer. Voice Of the Customer (VOC). Crtitical to Quality (CTQ). Developing CTQs
• Cost of Poor Quality (COPQ). Categories. Waste. Exercise - Identify COPQ
• Basic Six Sigma metrics. Cycle Time. Defects per unit. First Time Yeld (FTY). Difference between FTY and RTY. Calculating DPU.

1.3 Six Sigma Project Selection

• Structured approach to select projects
• Business Case. Exercise - Creatig a Business case
• Project Charter. Primary and Secondary Metrics. Pareto Chart. Metrics Charts. Exercise - Creating a Project Charter.
• Project Financial Evaluation. Exercise - Estimate of your projects benefits

1.4 Waste

• Lean. Definition. History. Lean Six Sigma. Project Requierments for Lean.
• 5S Principles
• 7 Elements of Waste. Exercise - identify waste in a process

Module 2. Measure Phase

The Measure Phase of the DMAIC methodology introduce important Six Sigma tools for characterizing the business issues.

2.1 Process Discovery

• Brainstormimg
• Cause-Effect (Fishbone) Diagram. Exercise - Create a fishbone diagram
• Process Mapping. SIPOC. Types of process maps. Process to generate a process map. Exercise- Create a process map
• identify Customer and Suplier Requirements. Exercise - identify suplier requierments
• X-Y Diagram. Vital few. Exercise- Create a X-Y Diagram
• Failure Modes Effect Analysis (FMEA). Definition. Types. Purpose. FMEA Components. Exercise- Create a FMEA

2.2 Six Sigma Statistics

• Basic Statistic. Statiscal notaion. Discret and Continuos variables. Scaled Data
• Descriptive Statistic: Mean. Median. Mode. Range. Interquartile Range. Standard deviation. Variance.
• Normal Distribution
• Assesing Normality. The Anderson-Darling test. Normal probability test. Exercise - Normality test
• Special Cause / Common Cause
• Graphing Techniques. Box Plots. Scatter Plots. Dot Plots. Time Series Plots. Histograms.

2.3 Measurement System Analysis (MSA)

• Defintion Purpose.
• Concepts: Precision, Repeatability, Reproducibility, Accuracy, Stability, Linearity, Resolution, Bias, Calibration
• Gage R&R
• Data Collection
• Variable and attribute MSA.

2.4 Process Capability

• Process Capability.
• Capability Analysis.
• Capability for Continuous Data.
• Capability for Attribute Data
• z-score

Module 3. Analyze Phase

The Analyze Phase of the DMAIC methodology introduce important Six Sigma tools for isolating critical factors.

3.1 "X" Sifting

• Multi-Vari Analysis. Multi-Vari Graph
• Clases and Causes of distributions:Normal Distribution, Non-normal distributions: Skewness, Multiple Modes, Kurtosis, Granularity

3.2 Inferential Statistics

• Inferential Statistics. Defintion. Type of data errors.
• Sampling distributions
• Central Limit Theorem. Influence of sample size on estimates of population parameters.
• Standard Error

3.3 Intro to Hypothesis Testing

• Purpose of Hypothesis Testing
• Central Tendency
• Types of Hypothesis Tests

3.4 Hypothesis Testing Normal Data

• Determinng appropriate sample sizes for testing Means. Test of Means (t-tests).
• Hypothesis Tests for Means. Analyzing Results. Paired t-test
• Hypothesis Testing of Variances. Calculating ANOVA. Alpha Risk and Pair-Wise t-tests

3.5 Hypothesis Testing Non-Normal Data

• Hypothesis Testing for equal variance
• Hypothesis Testing for Medians
• 1-Sample Sign, 1-Sample Wilcoxon, Mann-Whitney, Kruskal-Wallis, Mood's Median Test
• Analyzing and interpret the results
• Test for proportions. Contingency tests

4 Improve Phase

The Improve Phase of the DMAIC methodology introduce important Six Sigma tools for characterizing your business issues.

4.1 Process Modeling Regression

• Correlation and a Regression Analysis

4.2 Advanced Process Modeling

• Non-Linear Regression Analysis
• Multiple Linear Regression Analysis (MLR)
• Residuals Analysis

4.3 Designing of Experiments (DOE)

• Definition. Purpose.
• Physical model and DOE model.
• Types of DOE. Fractional Factorials. Full Factorials. Response Surface Methods (RSM)
• Graphical DOE Analysis :Cube Plot, Main Effects Plot, Interaction Plot,
• DOE Methodology

5 Control Phase

The Control Phase of the DMAIC methodology introduce important Six Sigma tools for properly controlling solutions.

5.1 Lean Controls

• Lean tools. 5S. Kaizen. Kanban. Project sustainability

5.2 Defect Controls

• Methods of defect prevention. Project sustainability

5.3 Statistical Process Control - SPC

• SPC Overview: Collecting Data. SPC Charts: I-MR Chart, Xbar-R Chart, U Chart, P Chart
• 9 Step methodology of implementing a chart
• Frequency of sampling
• Control Chart selection methodology
• Control Chart parameter calculations: UCL, LCL and Center Line

5.4 Six Sigma Control Plans

• Selecting Solutions
• 5 phases of the Control Plan: Training, Documentation, Monitoring, Response, Aligning Systems and Structures
• Project Sign Off

Six Sigma Black Belt Body of Knowledge

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