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

Programul de training Lean Six Sigma pentru Black Belts aprofundeaza conceptele si instrumentele Lean Six Sigma (DMAIC) de identificare si rezolvare a problemelor. Nivelul cursului este avansat si aprofundeaza metodele statistice pe care le folosesc project managerii de nivel Green Belt.

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.

In pretul trainingului standard (corporate sau public) sunt incluse:

• Servicii de training de calitate cu traineri certificati si acreditati international
• Manual de training
• Set de exercitii aplicative
• Caiet de exercitii+pix
• Eticheta nume participant
• CD training cu fotoprotocol
• Diploma oficiala, recunoscuta international

In plus, pentru trainingurile publice, in pret sunt incluse :

• cofee break dimineata: cafea, sucuri, patiserie
• masa de pranz la restaurant cu meniu la alegere
• cofee break dup-amiaza: cafea, sucuri, patiserie
• rezervare loc in sala de conferinta (training) la hotel

Lean Six Sigma (DMAIC) Methodology - Introduction

• What is Six Sigma
• DMAIC – A logical Approach to Problem Solving
• What is Lean?
• Lean and the Six Sigma
• Six Sigma (DMAIC) Structure
  • Six Sigma Project Phases
  • Six Sigma Project Deliverables
  • Six Sigma Project Team
  • Six Sigma TemplatesBuilding a Lean Six Sigma Program
• Different Types of Lean Six Sigma Projects
• Where do Lean Six Sigma Projects come from?
• Managing Lean Six Sigma Projects
• Minitab – Overview

Module - DEFINE Phase

• Problem Statement
• Goal Statement
• Cost of Poor Quality (COPQ)
• Voice of the Customer (VOC), Kano Analysis
• House of Quality
• Critical to Quality (CTQ) Trees
• SIPOC – High Level Process Mapping
• Project Structure and Project Plans
• Stakeholder Analysis
• Project Documents
• Facilitation Skills
• Effective Teams and Meetings
• Project Charter
• DEFINE Phase Review

DEFINE - Practical Six Sigma Process Improvement Simulation/Workshops

• Workshop D 1:
  • Develop a threat / opportunity matrix
  • Develop a SIPOC
  • Develop stakeholder analysis and influence strategy
• Workshop D 2:
  • Perform a KANO analysis
  • Define CTQ: output characteristic, KPI, measurement criteria, target, specification , defect/operational definitions
• Workshop D 3:
  • Develop a High Level AS-IS process map (cross-functional flowchart
• Workshop D 4:
  • Develop the Project Charter

Module - MEASURE Phase

• Key Performance Indicators (KPIs)
• KPI Trees
• Lean Measures (PCE,OEE, Takt Time, etc)
• Statistics for process “Position” / “Spread”
• Operational Definitions
• Data Worlds (Continuous/Count/Atribute Data)
• Data Collection Methods
• Data Collection Plans and Sampling
• Minimum Sample Sizes
• Sampling Frequency
• Contextual Data
• Measurement System Analysis (MSA)
  • Bias and Precision
  • Measurement System Resolution
  • Gauge Repeatability & Reproducibility (GR&R)
  • Continuous GR&R in Minitab
  • Attribute GR&R in Minitab
  • MSA Drilldown
• Distribution shapes and the Normal Distributions
• Normal Distribution in Theory and Practice
• 1st pass Analysis
• Process Stability and Short/Long Term Variation
• Process Capability
  • Capability Analysis Normal Data
  • Capability Analysis Non-normal Data
  • Cp, Cpk, PPM, DPMO measures
  • Calculating % Defective
  • Sigma Levels
  • Sigma Shift
• Measure Phase Review

MEASURE - Practical Six Sigma Process Improvement Simulation/Workshops

• Workshop M 1: Develop data collection plan in order to take relevant measures about the process during Process Simulation
  • Select segmentation factors
  • Define operational definitions for process accuracy/error level and total cycle time
  • Define with your team a data collection process
  • Create a data collection form to record data for your AS-IS process
  • Calculate required sample size for measuring the process
• Workshop M 2: Simulate and Measure your Process
  • run process for 40 customers and measure your process
• Workshop M 3: Establish Process Baseline by calculating:
  • Accuracy: DPMO-method
  • Cycle time: z-value
  • Convert to Sigma Levels

Module - ANALYZE Phase

• Process Analysis (Process Door Approach)
  • Process Mapping
  • Value Stream Mapping
  • Time Value Maps
  • The Five Laws of Lean
  • The Seven Wastes
  • Spaghetti Diagrams
  • Brainstorming
  • 5 Whys
  • Fishbone (Cause and Effect) Diagrams
  • Affinity Diagrams
  • Failure Mode and Effect Analysis (FMEA)
• Process Data Analysis (Data Door Approach)
  • Minitab – Data Types, Manipulation and Graphs
  • Minitab’s “Display Descriptive Statistics”
  • Histograms
  • Dot Plots
  • Minitab’s Graphical Summary
  • Probability Plots
  • Time Series Plots
  • Run Charts
  • Pareto Analysis/Charts
  • Data Stratification
  • Box Plots
  • Individual Value Plots
  • 100% Stacked Bar Charts
  • Scatter Plots
  • Matrix Plots
  • Graphical Results to Statistical Significance
  • Confidence Intervals
• Hypothesis testing
• Hypothesis Tests for Average
  • 2 Sample t-test
  • 1 Sample t-test
  • Paired t-test
  • One Way ANOVA
  • Tuckey’s Quick Test
• Hypothesis Tests for Median
  • 1 Sample Sign Test
  • Kruskal-Wallis Test
  • Mood’s Median Test
• Hypothesis Tests for Variation
  • Minitab’s Test for Equal Variance
• Hypothesis Tests for Proportions
  • 1 Proportion test
  • 2 Proportion test
  • Chi Square test
• Normality Test (Anderson Darling)
• Individual Distribution Identification
• Correlation and Regression Overview
  • Pearson Coefficient
  • Simple Regression and Mintab’s Fitted Line Plot
  • Checking the model (residuals analysis)
  • Multiple Regression
  • Binary Logistic Regression
• Design of Experiments (DOE) – Overview
  • DOE – Approach
  • 2-Level Full Factorial Designs
  • Full Factorial Example
  • Analyzing the results
  • Refining the model
  • Calculating the process model
  • Fractional Factorial Designs
  • Fractional Factorial Example
  • Analyzing the results
  • Checking the confounding
  • Minitab’s Design of Experiments
• ANALYZE Phase Review

ANALYZE - Practical Six Sigma Process Improvement Simulation/Workshops

• Workshop A 1: Identify and validate root causes and show Vital Few.
  • Analyze the process (Data segmentation and stratification , Fishbone and 5 Why’s, Regression)
  • Prepare a graphical display of the process information.
  • Show the Vital Few

Module - IMPROVE Phase

• Negative Brainstorming and Assumptions Busting
• Error Proofing and Benchmarking
• Chain Letters and Billboards
• SCAMPER
• Assessment Criteria
• Paired Comparisons
• Prioritization Matrix
• Pugh Matrix
• Solution Screening and Pilot Studies
• 5S
• Visual Management
• IMPROVE phase Review

IMPROVE - Practical Six Sigma Process Improvement Simulation/Workshops

• Workshop I 1: Generate and select a solution with your team
  • Draw a TO-BE process map of the new process (solution)
  • Develop a FMEA for the new process
  • Solution cost / benefit analysis
  • Prepare a presentation for your Milestone review
• Workshop I 2: Implement your new process, measure the data and calculate improved sigma level.
  • Make an implementation plan for the new process (Room set-up, teams, training, etc)
  • Adapt all necessary forms according to your new process
  • Develop a simplified data collection plan (operational definition, sample size)
  • Present solution
• Workshop I 3:Run process again and measure data
  • Measure new processs
  • Draw control chart
  • calculate new sigma value (new process capability)
  • Prepare Milestone Review

Module - CONTROL Phase

• Control Phase - Roadmap & Overview
• Statistical Process Control (SPC) - Process Charts for Managing the process
  • Overview SPC – Approach
  • I-MR Charts
  • X Bar – R Charts
  • U Charts
  • P Charts
• Control Plans
• Standardized Processes
• Project Documentation
  • Process Procedures
  • Solution Transfer Plan
• Process Monitoring Plan
  • Creating Processs KPI and Dashboards
  • Response Plan Solution Roll-out
• Project Closure
• • Project Reports and Action Logs
  • Lessons Learned
• CONTROL Phase - Review

Module - Six Sigma (DMAIC) Methodology Review

• Six Sigma Black Belt Body of Knowledge - ASQ (American Society for Quality)