Lean Six Sigma Black Belt Training & Certification in Manila

DEFINE PHASE

THE BASICS OF SIX SIGMA

THE FUNDAMENTALS OF SIX SIGMA

SELECTING LEAN SIX SIGMA PROJECTS

ThE LEAN ENTERPRISE

• Meanings of Six Sigma
• General History of Six Sigma & Continuous
• Improvement
• Deliverables of a Lean Six Sigma Project
• The Problem Solving Strategy Y = f(x)
• Voice of the Customer, Business and Employee
• Six Sigma Roles & Responsibilities
• Defining a Process
• Critical to Quality Characteristics (CTQ’s)
• Cost of Poor Quality (COPQ)
• Pareto Analysis (80:20 rule)
• Basic Six Sigma Metrics
• a including DPU, DPMO, FTY, RTY Cycle Time,
• deriving these metrics
• Building a Business Case & Project Charter
• Developing Project Metrics
• Financial Evaluation & Benefits Capture
• Understanding Lean
• The History of Lean
• Lean & Six Sigma
• The Seven Elements of Waste
• a Overproduction, Correction, Inventory, Motion,
• Overprocessing, Conveyance, Waiting
• 5S
• Straighten, Shine, Standardize, Self-Discipline & Sort

MEASURE PHASE

PROCESS DEFINITION

MEASUREMENT SYSTEM ANALYSIS

SIX SIGMA STATISTICS

PROCESS CAPABILITY

• Cause & Effect / Fishbone Diagrams
• Process Mapping, SIPOC, Value Stream Map
• X-Y Diagram
• Failure Modes & Effects Analysis (FMEA)
• Precision & Accuracy
• Bias, Linearity & Stability
• Gage Repeatability & Reproducibility
• Variable & Attribute MSA
• Basic Statistics
• Descriptive Statistics
• Normal Distributions & Normality
• Graphical Analysis

ANALYZE PHASE

PATTERNS OF VARIATION

INFERENTIAL STATISTICS

HYPOTHESIS TESTING

• Multi-Vari Analysis
• Classes of Distributions
• Understanding Inference
• Sampling Techniques & Uses
• Central Limit Theorem
• General Concepts & Goals of Hypothesis Testing
• Significance; Practical vs Statistical
• Risk; Alpha & Beta
• Types of Hypothesis Test

HYPOTHESIS TESTING WITH NORMAL DATA

HYPOTHESIS TESTING WITH NON-NORMAL DATA

• 1&2 sample t-tests
• 1 sample variance
• One Way ANOVA
• Including Tests of Equal Variance, Normality
• Testing and Sample Size calculation,
• performing tests and interpreting results
• Mann-Whitney
• Kruskal-Wallis
• Mood’s Median
• Friedman
• 1 Sample Sign
• 1 Sample Wilcoxon
• One and Two Sample Proportion
• Chi-Squared (Contingency Tables)
• Including Tests of Equal Variance, Normality
• Testing and Sample Size calculation,
• performing tests and interpreting results

IMPROVE PHASE

SIMPLE LINEAR REGRESSION

MULTIPLE REGRESSION ANALYSIS

DESIGNED EXPERIMENTS

FULL FACTORIAL EXPERIMENTS

FRACTIONAL FACTORIAL EXPERIMENTS

• Correlation
• Regression Equations
• Residual Analysis
• Non- Linear Regression
• Multiple Linear Regression
• Confidence & Prediction Intervals
• Residual Analysis
• Data Transformation, Box Cox
• Experiment Objectives
• Experimental Methods
• Experiment Design Considerations
• 2k Full Factorial Designs
• Linear & Quadratic Mathematical Models
• Balanced & Orthogonal Designs
• Fit, Diagnose Model and Center Points
• Designs
• Confounding Effects
• Experimental Resolution

CONTROL PhASE

LEAN CONTROLS

STATISTICAL PROCESS CONTROL (SPC)

SIX SIGMA CONTROL PLANS

• Control Methods for 5S
• Kanban
• Poka-Yoke (Mistake Proofing)
• Data Collection for SPC
• I-MR Chart
• Xbar-R Chart
• U Chart
• P Chart
• NP Chart
• X-S chart
• CumSum Chart
• EWMA Chart
• Control Methods
• Control Chart Anatomy
• Subgroups, Impact of Variation, Frequency of
• Sampling
• Center Line & Control Limit Calculations
• Cost Benefit Analysis
• Elements of the Control Plan
• Elements of the Response Plan

The city of Manila is located on the eastern shore of Manila Bay and is bordered by the cities of Navotas and Caloocan. Manila has many scientific and educational institutions, numerous sport facilities, and other culturally and historically significant venues. Manila has significant architectural buildings in a wide range of styles spanning distinct historical and cultural periods.