Design for Lean Six Sigma : A Holistic Approach to Design and Innovation

by Rajesh Jugulum (Vice President and Master Black Belt, Bank of America and Researcher at MIT ); Philip Samuel (Chief Innovation Officer Breakthrough Management Group )

• ISBN13: 9780470631720
• ISBN10: 0470631724
• Format: eBook
• Copyright: 2010-01-01
• Publisher: Wiley

Summary

Design for Lean Six Sigmais the only book that employs a "road-map" approach to DFSS, which allows corporate management to understand where they are in the process and to integrate DFSS methodology more fully into their overall business strategy. This is a similar approach to that used by Forrest Breyfogle in his successful book: "Implementing Six Sigma, 2E". This approach will allow corporate management to understand where they are in the process and to integrate DFSS methodology more fully into the overall business strategy. Another important aspect of this book is its coverage of DFSS implementation in a broad range of industries including service and manufacturing, plus the use of actual cases throughout.

Table of Contents

Dedication

Acknowledgements

Preface

Introduction

The Goal

Robust DFSS -The State of the Art

Approach

Guide to this book

Driving Growth through Innovation

Delivering On the Promise

Creating Better Promise

Ambidextrous Organization

Platforms for Growth

Innovation and Design

Managing the Paradox of Preservation and Evolution

Conclusions

Process for Systematic Innovation

Balanced Innovation Portfolio

Effective Teams for Collaboration

Execution Process for Innovation Projects

Techniques and Tools

Climate for Innovation

Lean Six Sigma Essentials

Origins of Six Sigma

Six Sigma Approach

Variation is the Enemy!

Origins of Lean

Waste is the Enemy!

Lean Six Sigma: Faster, Better and Cheaper

Deploying Design for Lean Six Sigma (DFLSS)

Deploying DFLSS

Capturing the Voice of the Customer

Defining Elements of Customer-Producer Relationship

Customer Expectations

Methods of Collecting Customer Expectations

Research Ethics

Design Axioms and Their Usefulness in DFLSS

Design Axioms

Domain Thinking

Design of a Software System

Designing MTS software

Design of a system that will market sporting goods

Design of a fan belt/pulley system

Use of Design Principles in an Academic Department

Mechanical Engineering Department at MIT

FR-DP Identification

Actions Taken

Design of a University System That Will Teach Students Only Through Internet

Implementing Lean Design

Key Principle of Lean Design

Strategies for Maximizing Value And Minimizing Costs And Harm8.3 Modular Designs

Value Engineering

3P Approach

Theory of Inventive Problem Solving (TRIZ)

Introduction to TRIZ

TRIZ Journey

1 TRIZ Roadmap

Ideality Equation

Itself method

TRIZ analysis tools

TRIZ database tools

Case Examples of TRIZ

Improving Process of Fluorination

CMM support problem

Robustness through inventions

What is a Robustness Invention

Research Methodology

Results of the Patent Search

Robust Invention Classification Scheme

Signal Based Robust Invention

Response Based Robust Invention

Noise Factor Based Robust Invention

Control Factor Based Robust Invention

Design for Robustness

Engineering Quality

Evaluation of the Function Using Energy Transformation

Studying the interactions between Control and Noise Factors

Use Of Orthogonal Arrays (Oas) and Signal-To-Noise Ratios To Improve Robustness

Two-Step Optimization

Tolerance Design using Quality Loss Function

Additional topics in designing for robustness

Parameter Diagram (P-diagram)

Design of Experiments

Signal to Noise (S/N) Ratios

Role of Simulations in Design for Robustness

Example - Circuit stability design

Control Factors and Noise Factors

Parameter Design

PCB Drilled Hole Quality Improvement

Introduction

Drilled Hole quality characteristics

Background

Experiment Description

Designing the experiment

Benefits

PCB Design of A Valve-Less Micropump Using Taguchi Methods

Introduction

Working Principle and Finite Element Modeling

Design for Robustness

Conclusions

Robust System Testing

1 Introduction

A Typical System Used in Testing

Method of Software Testing

Study of two-factor combinations

Construction of Combination Tables

MTS software testing

Case Study

Conclusions

Development of Multivariate Measurement System Using the Mahalanobis Taguchi Strategy

What is Mahalanobis-Taguchi Strategy?

Stages in MTS

Signal-to-Noise Ratio - Measure of Prediction Accuracy

Types of S/N Ratios in MTS

Medical Case Study

Case Example 2: Auto Marketing Case Study

Case Study 3: Improving Client Experience

Improvement of the Utility Rate of Nitrogen While Brewing Soy Sauce

Application of MTS For Measuring Oil In Water Emulsion

Introduction

Application of MTS

Prediction of Fasting Plasma Glucose (FPG) From Repetitive Annual

Health Check-Up Data

Introduction

Diabetes Mellitus

Application of MTS

References

Some Useful Orthogonal Arrays

Equations for Signal-to-Noise (S/N) Ratios

Related Topics of Matrix Theory

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