Training

Lean Six Sigma – Black Belt

Lean Sigma – nivel Black Belt

Rating:
5/5
Categorie curs:
Concepte teoretice
Exercitii practice
Exemple, studii de caz
  • Cod curs: 803
  • Durata curs: 14 zile
  • Pret / persoana: 2.150 €
  • Nivel curs: Avansat
  • Disponibil: Clasic (in sala)

Trainingul Lean Six Sigma - Black Belt este acreditat de:
IASSC - International Association for Six Sigma Certification

Credite PDU/CDU obtinute: 35

Acestea se pot folosi pentru certificare/recertificare.

Cursul Lean Six Sigma – Black Belt aprofundeaza conceptele si tehnicile utilizate in aplicarea în fazele ciclului de viata: Define, Measure, Analyze, Improve and Control (DMAIC).

Nivelul cursului este avansat si include abordarea detaliata a metodelor statistice pe care deja le folosesc project managerii de nivel Green Belt. Pentru exemplificare si rezolvarea exercitiilor din curs, instructorul foloseste Minitab.

Lean Six Sigma este o metodologie de proiect pentru imbunatatirea proceselor de business, rezultand in identificarea si implementarea unor solutii privind scaderea costurilor, cresterea vitezei de procesare, a calitatii produselor sau serviciilor, reducerea erorilor.

La sfarsitul acestui training participantii vor avea cunostintele necesare si vor fi capabili:

  • Sa aplice metododolgia Lean Six Sigma  in proiecte complexe privind  imbunatatirea proceselor utilizand ciclul DMAIC
  • Sa foloseasca metode statistice avansate pentru analiza proceselor
  • Sa foloseasca un set de instrumente si metode de masurare a proceselor existente si sa stabileasca care este performanta actuala de la care se porneste efortul de imbunatatire (as is)
  • sa identifice cauzele problemelor folosind un set de tehnici si concepte specifice
  • sa identifice solutii de imbunatatire (inc KPIs) si sa monitorizeze atinderea perfomantei dorite (to be)
  • Sa stabileasca structuri si metode de control ale proceselor de business
  • Persoanele care au o deja formare in Six Sigma, au participat in proiecte Six Sigma si doresc sa aprofundeze aparatul matematic statistic
  • Persoane certificate Six Sigma Green Belt
  • Persoanele care doresc sa se pregateasca pentru examenul de certificare Six Sigma Black Belt

Pentru a beneficia din plin de acest training recomandam participantilor:

  • sa aiba o experienta practica in aplicarea metodologiei Six Sigma si cel putin un proiect derulat cu succes
  • sau echivalent, sa detina certificarea Green Belt

Module 1 – Introduction Lean Six Sigma – DMAIC Methodology

  • 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 2 – 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 3 – 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 4 – 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 5 – 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 process
    • Draw control chart
    • calculate new sigma value (new process capability)
    • Prepare Milestone Review

Module 6 – 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 Process KPI and Dashboards
    • Response Plan Solution Roll-out
  • Project Closure
    • Project Reports and Action Logs
    • Lessons Learned
  • CONTROL Phase – Review

Module 7 – Six Sigma (DMAIC) Methodology Review

Certificari asociate cu cursul Lean Six Sigma - Black Belt 

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