时间:2007年3月5日 地点:北京 联系后确认 费用:56000元 联系后确认 联系方式:010-51299010
绿带培训(10天)费用:RMB18000,黑带培训(20天)费用:RMB38000(含午餐、教材费、培训软件工具) 培训时间:2007年3月4-8日,11-15日,18-22日,25-29日 培训大纲:以ASQ黑带大纲为标准,满足学员ASQ黑带认证CSSBB要求,辅导学员至少完成1~2个项目. 培训讲师:资深六西格玛黑带大师,有大量成功六西格玛实施经验和案例. 培训语言:中文 具体培训大纲: DEFINE AND MEASURE PHASE Introduction to Six Sigma Define Phase Overview Project Focus 1 Day •Project Management Workshop •Management and Planning Tools Data Driven Analysis 1 Day Measure Phase Overview Process Mapping- Cause and Effect Analysis FMEA 1 Day Capability Analysis MSA CLT 1 Day •Team Dynamics •Negotiation Skills •Analyze Phase Overview •Refresher for Week # 1' s Training Modules 1 Day - 5 - ALYZE PHASE •Multi-Vari Analysis •Hypothesis Testing Theory and Roadmap 1 Day •Hypothesis Testing Methods •Project (define - Measure Phase) Review •Contigency Table •One WayANOVA •Two Way ANOVA •Nonparametrics Statistics •Advance Nonparametrics Statistics •Regression and Correlation Analysis 1 Day 1 Day 1 Day •Multiple Linear Regression •Logistic Regression •Improve Phase Overview •Refresher for Week # 2' s Training Modules 1 Day E •Introduction to Design Of Experiments •Full Factorial Designs •2k Factorial Designs 1 Day •DOE for Sigma •Fractional Factorial Designs 1 Day •Response Surface Method •Taguchi Methods 1 Day •Evolutionary Operation •Rational Tolerance •Control Phase Overview 1 Day •Introduction to Control •Control Plan •SPC Theory and Variables •Alternate Control Charts and Methodology •Refresher for Week # 3' s Training Modules 1 Day - 6 - NTROL PHASE •Standards and Visual Controls •Organizational Learning and System Thinking •Error Proofing Techniques •Reliability and Maintainability •Project (Improve - Control Phase) Review 1 Day •Business Case of Six Sigma-2 •DFSS Overview and QFD-4 1 Day •Introduction to Lean Production •Train the technical trainer •Coaching and mentoring •Agent of change •Basic understanding about SQM •Transactional Six Sigma Overview •Realization •Review Of The Six Sigma Project Roadmap •Six Sigma Conclusion •Six Sigma Black Belt Training Wrap Up and Exam. 1 Day - 7 - Training Course Outline Day # 1 •Introduction to Six Sigma •Define Phase Overview •Project Focus The Customer’s Perspective What’s Important to the Customer Clarifying Project Definition and Scope Process Boundary Map IPO Diagram Extension of IPO Diagram, SIPOC diagram Collecting Voice Of Customer (VOC) : Quality Function Deployment (QFD) Project Definition Project Title & Rationale Problem Statement Project Objective Projected Business Gain / Financial Impact Timeline & Team Members - 8 - Day # 2 •Project Management Effective Presentations Creating an Effective Presentation A Dynamic Presentation Create the Project Management Plan Identify Sub-tasksSequencing & Identifying Resources Create a Gantt Chart Facilitating Teams Meeting Preparations Facilitate a Group Decision Process •Management and Planning tools Tools for organizing verbal data Affinity Diagram Relations Diagram Tools for putting problems into solvable form Tree Diagram Matrix Diagram Tools for analyzing and improving the process Arrow Diagram PDPC Chart •Data Driven Analysis What Is Data Why Use Data The Role of Statistics Comparison of Data Types Levels of Knowledge Converting Attribute Data to Variable Data - 9 - Day # 3 •Measure Phase Overview Is to identify and explore the KPIVs Measure Phase toolkits and deliverables •Process Mapping Explain and apply techniques for visually documenting a process Explain the definitions and relationships of CTx’s, Key Process Input Variables and Key Process Output Variables Identify the real process being used and find hidden factories. Quantify with Rolled Throughput Yield. Establish the relationship between Process Maps, Cause-Effect, FMEA and Capability/Control Plans •Cause and Effect Analysis Fishbone diagram Cause and Effect Matrix •FMEA Definition of FMEA What is a Potential Failure Mode ? FMEA' s Usage or Application Ground Elements Of FMEA RPN and Action Priority Step by step constructing a FMEA - 10 - Day # 4 •Capability Analysis (With Minitab example) Understand the need for Process Capability Evaluation Quantify Process Capability Define the Poisson model for calculating process yield Alternative capability assessment like DPU, RTY etc •Measurement System Analysis Understand that Measurement is a Process Identify and Quantify the Sources of Measurement Variability Compare Measurement System Variability to Process Variability Discover Opportunities for Measurement System and Total Process Variability Improvement Terminology and Effect of added inspection Two types of Gauge R & R Attribute Gauge R & R Variable Gauge R & R •Central Limit Theorem Standard error of the mean Distributions of sample means approximate normal with the increase of sample size - 11 - Day # 5 •Team Dynamics To gain a working knowledge of team dynamics as they apply to Six Sigma project Myers-Briggs personal style models Where you get your energy: Introvert vs Extrovert How you gather information: Sensing vs Intuition How you make decision: Thinking vs Feelings How you conduct your affairs : Judging vs Perceiving There is no `right’ type To discuss how difference styles learn •Negotiation Skills The process of negotiation Negotiation styles Negotiation tactics Dealing with skilled negotiators •Analyze Phase Overview Screening the trivial many KPIVs Analyze Phase’ s toolkits and deliverables Refresher forWeek # 1’s Training Modules - 12 - Day # 6 •Multi-Vari Analysis Variation Types of Variation Sources of Variation Multi-Vari Charts •Hypothesis Testing Theory and Roadmap Why learn Hypothesis Testing Hypothesis Testing description Null and Alternate hypothesis The method and Roadmap Definitions Qualitative vs Quantitative data If Quantitative, check distribution for normality Test for equal variances Non parametrics testing for non normally distributed’ s data Day # 7 •Hypothesis Testing Methods Parametric Testing / Variance Testing Single parameter testing Two parameter testing Effectively conduct and utilize these tests using Minitab • - 13 - Day # 8 •Contingency Table Why learn contingency tables Hypothesis testing roadmap The expected value •One Way ANOVA Step by step ANOVA by example Total Variation is the sum of Between Variation and Within Variation Degree of Freedom Mean of Sum of Square F Statistic •ANOVA •Non Parametrics Statistics Introduction to Non-Parametric Tests Testing of Hypothesis Non-Parametric Test tests for normality tests for location (central tendency) tests for scale (dispersion) tests for association - 14 - Day # 9 •Advance Nonparametrics Statistics •Regression and Correlation Analysis Create Scatter Plots Perform Simple Linear Regression and explain Assumptions Coefficient of Correlation (R, R2 and adjusted R2) Common Mistakes Regression Diagnostics Confidence Bands Influential Observations Standard Error of Estimates Perform Polynomial Regression Perform Multiple Variable Regression Correlation Describe the computational differences between regression and correlation Perform a correlation study using Mandel’s Method - 15 - Day # 10 •Multiple Linear Regression Model Selection Strategies Stepwise Selection Forward Selection Backward Elimination Best Subsets Regression Assumptions of MLR Existence Independence Linearity Homoscedasticity Normality •Logistic Regression Limitations of Linear Regression Logistic Regression Significance of Parameters Interpretation of Coefficients Goodness-Of-Fit Regression Diagnostics •Improve Phase Overview Study the interactions and optimize the vital few KPIVs Improve Phase’ s toolkits and measurables •Refresher for Week # 2’s Training Modules - 16 - Day # 11 •Introduction to Design of Experiments •Full Factorial Experiments Describe a full factorial experiment Define what is meant by factors & levels, and explain the notation used for a full factorial experiment design Explain main effects & interactions Set up & analyze full factorial experiment using Minitab •2K Factorial Design Why do we need to use 2k factorial experimentation? 2k Vocabulary Steps for DOE Analysis 2k Standard Order Designs Calculating main effects Calculating interactions Adding Center Points Adding Blocking Day # 12 •DOE for Sigma Describe the Taguchi Loss Function and how it can be used as a quality measure Design and analyze a 23 factorial experiment (or a simpler experiment) with the sole purpose of reducing the standard deviation •Fractional Factorial Designs Screening Designs Fractional Factorial Designs Alias Relationships Design Resolutions Foldover Designs Saturated Designs - 17 - Day # 13 •Response Surface Method Introduction to Three-Level Experimental Design for Quadratic Effects Central Composite Design Box-Behnken Design Three-Level Taguchi Design Path of Steepest Ascent Linear / Quadratic Models Common Response Surface Designs Mixed-Level Designs •Taguchi Methods Loss Functions “Goalpost” vs Taguchi Control and Noise Factors Taguchi Techniques Orthogonal Arrays Linear Graphs Interaction Tables DOE Models — Classical vs Taguchi Inner and Outer Arrays Mean Squared Deviation Signal-to-Noise Ratio - 18 - Day # 14 •Evolutionary Operation The Value of Evolutionary Operation How EVOP Differs from DOE The EVOP Method Setting it up Execution Informing the team •Rational Tolerance •Control Phase Overview Sustain the gain obtained with the leveraged KPIVs Control Phase’ s toolkits and deliverables - 19 - Day # 15 •Introduction To Control Provide an introduction to process monitors and controls. Determine what is required for the Brown Belt to “walk away” from the project Introduction to current management tools and philosophies The 1st three generation of management The 4th generation of management : Joiner Triangle Determine the effects of the informal system •Control Plan Describe the value of a control plan Explain the critical components of a control plan •SPC Theory and Variables Why we need Statistical Process Control Introduction to SPC Implementation and Theory Control Charts for continuous data X-bar and R charts Subgrouping and frequency Control Chart interpretation Reaction to Out-of-Control Situations Other Shewhart charts for continuous data •Alternate Control Charts and Methodology CUSUM EWMA Introduction To Total Control Methodology Why Is TCM - Model Line Important ? Definition Of TCM Objective with TCM Implementation - 20 - Components Of TCM Positrol Plan Positrol Log Control Chart - Corrective Action Logs OCAP Set Up Checklist PM Schedule / Checklist / Procedure Roles and responsibilities Day # 16 •Standards and Visual Controls How to Control the Xs What is Standardized Work ? What is a Standard ? Why Standards are Needed Visual Controls Eliminate Waste 5S 7 Types of Waste Assure Best Practices •Organizational Learning and System Thinking Understand why 5S Workplace Organization is a key factor in maintaining success Learn techniques for building organizational memory to make improvements permanent Evaluate the pros and cons of standard methods Learn the CAP-Do method for evaluating the need for standardization Understand the characteristics of a Learning Organization Understand why Systems Thinking is critical to the success of Six Sigma •Error Proofing techniques To explain the value of error proofing To describe situations where error proofing is needed To be able to implement error- proofed systems Room 1315A, 13/F, Hollywood Plaza, 610 Nathan Road, Mongkok, Kowloon, Hong Kong. - 21 - •Reliability and Maintainability •Project (Improve –Control Phase) Review Day # 17 •Business Case of Six Sigma Define EVA, a key indicators of shareholders’ value Shareholder’ s value calculated based on a financial statement Link process (project) performance to shareholder value •DFSS Overview and QFD Why we need to “Design For Six Sigma” Six Sigma Methodology for Design Some tools used in DFSS - 22 - Day # 18 •Introduction To Lean Production Introduction to Lean Five Principles Value Wastes Tools Pillars and Supports •Train The Techinical Trainer Training needs assessment Developing training material Delivering the training •Coaching and Mentoring Be able to identify the required people skills vs technical skills for coaching and mentoring of GBs and other BBs To supplement a Black Belt’ s technical skills with strong people skills To be self-prepared in the development as a future MBB •Agent Of Change Understanding the role of Black Belt is a change agent It is like parenthood Guiding Principles for Managing Change Transition Difficulties Seven Habits - 23 - Day # 19 •Basic Understanding about Supplier Quality Management (SQM) To understand the basic concepts of a successful SQM model Know how to integrate world class Supplier Quality techniques with a Six Sigma deployment •Transactional Six Sigma Overview Characteristics of a service industry Transactional tools Forecasting Design and Analysis of Surveys Queuing Theory Benchmarking •Realization Day # 20 •Review of the Six Sigma Project Roadmap •Six Sigma Conclusion •Six Sigma Black Belt Training Wrap Up and Exam - 24 - |