2
Lean Six Sigma Improvement Process Road Map Control Control Improve Improve Enterprise-Wide Deployment Enterprise view Leadership Organizational goals and objectives History of organizational improvement / foundation of six sigma Business Process Management Process vs. functional view Voice of the customer Business results Project Management Project charter and plan Team leadership Team dynamics and performance Change agent Management and planning tools Improve Design of experiments (DOE) Response surface methodology Evolutionary operations (EVOP) Control Statistical process control Advanced statistical process control Lean tools for control Measurement system re- analysis Value of six sigma Business system and process Process inputs, outputs, and feedback Enterprise leadership Six sigma roles and responsibilitie s Linking projects to organizational goals Risk analysis Closed-loop assessment / knowledge management Process elements Owners and stakeholders Project management and benefits Project measures Identify customer Collect customer data Analyze customer data Determine critical customer requirements Process performance metrics Benchmarking Financial benefits Charter / plan elements Planning tools Project documentation Charter negotiation Initiating teams Selecting team members Team stages Team-building techniques Team facilitation techniques Team performance evaluation Team tools Managing change Organizational roadblocks Negotiation and conflict resolution Terminology Planning and organizing experiments Design principles Design and analysis of one- factor experiments Design and analysis of full- factorial experiments Design and analysis of two- level fractional experiments Taguchi robustness concepts Mixture experiments Steepest ascent / descent experiments Higher-order Objectives and benefits Selection of variable Rational Sub grouping Selection and application of control charts Analysis of control charts PRE-control ASQ – Six Sigma Black Belt Certification Body of Knowledge Define Project Scope Metrics Problem statement Define Define Pareto charts Top-level process (macro) maps Quality Cycle time Cost Current statement Baseline Improvement goals Measure Process analysis and documentation Probability and statistics Collecting and summarizing data Properties and applications of probability distributions Measurement system Analyzing process capability Measure Measure Tools Process inputs and outputs Drawing valid statistical conclusions Central limits theorem and sampling distribution of the mean Basic probability concepts Types of data Measurement scales Methods of collecting data Techniques for assuring data accuracy and integrity Descriptive statistics Graphical methods Distributions Measurement methods Analyze Analyze Analyze Exploratory data analysis Hypothesis testing Mutli-vary studies Measuring and modeling relationship between variables Simple linear correlation Diagnostics Fundamental concepts of hypothesis testing Point and interval estimation Tests for means, variances, and proportions Paried-comparison test Goodness-of-fit test Analysis of variance (ANOVA) Enterprise-Wide Enterprise-Wide Deployment Deployment Business Business Process Process Management Management Project Management

Lean Six Sigma Asq Road Map(1)

  • Upload
    hj

  • View
    803

  • Download
    1

Embed Size (px)

Citation preview

Page 1: Lean Six Sigma Asq Road Map(1)

Lean Six Sigma Improvement Process Road Map

ControlControlControlControlImproveImproveImproveImprove

Enterprise-Wide Deployment

• Enterprise view• Leadership• Organizational

goals and objectives

• History of organizational improvement / foundation of six sigma

Business Process Management

• Process vs. functional view

• Voice of the customer

• Business results

Project Management

• Project charter and plan

• Team leadership• Team dynamics

and performance• Change agent• Management and

planning tools

Improve• Design of

experiments (DOE)

• Response surface methodology

• Evolutionary operations (EVOP)

Control• Statistical process

control• Advanced statistical

process control• Lean tools for control• Measurement

system re-analysis

• Value of six sigma• Business system

and process• Process inputs,

outputs, and feedback

• Enterprise leadership

• Six sigma roles and responsibilities

• Linking projects to organizational goals

• Risk analysis• Closed-loop

assessment / knowledge management

• Process elements• Owners and

stakeholders• Project

management and benefits

• Project measures• Identify customer• Collect customer

data• Analyze

customer data• Determine

critical customer requirements

• Process performance metrics

• Benchmarking• Financial benefits

• Charter / plan elements

• Planning tools• Project

documentation• Charter negotiation• Initiating teams• Selecting team

members• Team stages• Team-building

techniques• Team facilitation

techniques• Team performance

evaluation• Team tools• Managing change• Organizational

roadblocks• Negotiation and

conflict resolution techniques

• Motivation techniques

• Communication

• Terminology• Planning and

organizing experiments

• Design principles• Design and analysis

of one-factor experiments

• Design and analysis of full-factorial experiments

• Design and analysis of two-level fractional experiments

• Taguchi robustness concepts

• Mixture experiments• Steepest ascent /

descent experiments• Higher-order

experiments

• Objectives and benefits

• Selection of variable• Rational Sub

grouping• Selection and

application of control charts

• Analysis of control charts

• PRE-control

ASQ – Six Sigma Black Belt Certification Body of Knowledge

Define• Project Scope• Metrics• Problem

statement

DefineDefineDefineDefine

• Pareto charts• Top-level process

(macro) maps• Quality• Cycle time• Cost• Current statement• Baseline• Improvement

goals

Measure• Process analysis and

documentation• Probability and statistics• Collecting and

summarizing data• Properties and

applications of probability distributions

• Measurement system• Analyzing process

capability

MeasureMeasureMeasureMeasure

• Tools• Process inputs and

outputs• Drawing valid statistical

conclusions• Central limits theorem

and sampling distribution of the mean

• Basic probability concepts• Types of data• Measurement scales• Methods of collecting

data• Techniques for assuring

data accuracy and integrity

• Descriptive statistics• Graphical methods• Distributions• Measurement methods• Measurement system

analysis• Metrology• Process capability indices• Process performance

indices

AnalyzeAnalyzeAnalyzeAnalyze

Analyze• Exploratory data analysis• Hypothesis testing

• Mutli-vary studies• Measuring and

modeling relationship between variables

• Simple linear correlation

• Diagnostics• Fundamental

concepts of hypothesis testing

• Point and interval estimation

• Tests for means, variances, and proportions

• Paried-comparison test

• Goodness-of-fit test• Analysis of variance

(ANOVA)• Contingency table• Non-parametric test

Enterprise-WideEnterprise-WideDeploymentDeployment

BusinessBusinessProcessProcess

ManagementManagement

Project

Management

Page 2: Lean Six Sigma Asq Road Map(1)

Lean Six Sigma Improvement Process Road MapLean Enterprise• Lean concepts• Lean tools• Total productive

maintenance (TPM)

Design for Six Sigma (DFSS)

• Quality function deployment

• Robust design and process

• Failure mode and effects analysis (FMEA)

• Design for X (DFX)

• Special design tools

• Theory of constrains

• Lean thinking• Continuous flow

manufacturing (CFM)

• Non-value-added activities

• Cycle-time reduction

• Functional requirements

• Noise strategies• Tolerance design• Tolerance and

process capability

LeanEnterprise

Design

for Six Sigma

(DFSS)

ASQ – Six Sigma Black Belt Certification Body of Knowledge