Lean Six Sigma Nuggets: A Fully Commented Project Documentation
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About this ebook
Developed over decades by Toyota, Lean contains a variety of tools tailored to reduce waste in processes, whereas Six Sigma is a result of Motorola seeking to reduce variation in processes that curb production.
The combined approaches have helped companies save billions of dollars while also boosting revenue. In this guide to Lean Six Sigma success, the author explains the methodology using complete and detailed project documentation.
The main case study describes a finance company that faces client attrition and a decrease in revenue and market share due to process problems. Throughout the book, the project work and the application of typical Lean Six Sigma tools are explained using the case as a guide.
By using a Lean Six Sigma approach, the company ultimately increased client satisfaction and loyalty and achieved a lasting improvement in business results.
Combine the power of two rigorous management practices and boost your bottom line with the lessons in Lean Six Sigma Nuggets.
Uwe H Kaufmann
Uwe H Kaufmann is the founder of the Centre for Organisational Effectiveness, a business advisory firm based in Singapore. As consultant and coach with many years of experience, his passion lies in helping organizations become more effective. His clients include multinational organizations in various industries. Since 2002, he has spent about half of his professional life working with government ministries and agencies in Singapore and Asia. He lives in Singapore.
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Lean Six Sigma Nuggets - Uwe H Kaufmann
Copyright © 2018 by Uwe H Kaufmann.
ISBN: Hardcover 978-1-5437-4464-4
Softcover 978-1-5437-4463-7
eBook 978-1-5437-4465-1
All rights reserved. No part of this book may be used or reproduced by any means, graphic, electronic, or mechanical, including photocopying, recording, taping or by any information storage retrieval system without the written permission of the author except in the case of brief quotations embodied in critical articles and reviews.
Because of the dynamic nature of the Internet, any web addresses or links contained in this book may have changed since publication and may no longer be valid. The views expressed in this work are solely those of the author and do not necessarily reflect the views of the publisher, and the publisher hereby disclaims any responsibility for them.
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TABLE OF CONTENTS
0. Introduction
0.1 What is Lean Six Sigma?
0.2 How Does Lean Six Sigma Training Work?
0.3 Why Has This Book Been Written?
0.4 How Is This Book Structured?
0.4.1 Define: Describing the Problem
0.4.2 Measure: Collecting Data
0.4.3 Analyse: Identifying the Vital Few
0.4.4 Improve: Developing Solutions
0.4.5 Control: Sustaining the Gains
0.5 What Is Provided?
1. Define
1.1 Overview
1.2 Steps
1.3 Objective
1.4 Prerequisites
1.5 Deliverables
1.6 Checklist
1.7 Tips
1.8 Team Dynamics
1.9 Project Steps
2. Drafting the Project Charter
2.1 Objective
2.2 Prerequisites
2.3 Tasks and Tools Used
2.3.1 Task 1: Elaborating the Business Case
2.3.2 Task 2: Describing Problem Statement,
Objective, and Scope of the Project
2.3.3 Task 3: Defining Project Metrics and
Estimating Potential Benefits
2.3.4 Task 4: Selecting the Project Team
2.3.5 Task 5: Scheduling Project Phases
2.3.6 Task 6: Stakeholder Analysis
2.4 Deliverables
2.5 Tips
2.6 Time Needed
2.7 Case Study
2.7.1 Task 1: Elaborating the Business Case
2.7.2 Task 2: Describing Problem Statement,
Objective, and Scope of Project
2.7.3 Task 3: Defining Project Metrics and
Estimating Potential Benefits
2.7.4 Task 4: Selecting the Project Team
2.7.5 Task 5: Scheduling Project Phases
2.7.6 Task 6: Stakeholder Analysis
3. Mapping the High-Level Process
3.1 Objective
3.2 Prerequisites
3.3 Tasks and Tools Used
3.3.1 Task 1: Listing Process Steps
3.3.2 Task 2: Listing Process Customers and Outputs
3.3.3 Task 3: Listing Process Suppliers and Inputs
3.4 Deliverables
3.5 Tips
3.6 Time Needed
3.7 Case Study
3.7.1 Task 1: Listing the Process Steps
3.7.2 Task 2: Listing the Process Customers and Outputs
3.7.3 Task 3: Listing the Process Suppliers and Inputs
4. Understanding the Voice of the Customer
4.1 Objective
4.2 Prerequisites
4.3 Tasks and Tools Used
4.3.1 Task 1: Identifying Customer Segments
4.3.2 Task 2: Gathering Customer Requirements
4.3.3 Task 3: Analysing Customer Requirements
4.3.4 Task 4: Prioritising Customer Requirements
4.3.5 Task 5: Setting Targets
4.4 Deliverables
4.5 Tips
4.6 Time Needed
4.7 Case Study
4.7.1 Task 1: Identifying Customer Segments
4.7.2 Task 2: Gathering Customer Requirements
4.7.3 Task 3: Analysing Customer Requirements
4.7.4 Task 4: Prioritising Customer Requirements
4.7.5 Task 5: Setting Targets
5. Measure
5.1 Overview
5.2 Steps
5.3 Objectives
5.4 Prerequisites
5.5 Deliverables
5.6 Checklist
5.7 Tips
5.8 Team Dynamics
5.9 Project Steps
6. Identifying and Selecting Potential Causes for Data Collection
6.1 Objective
6.2 Prerequisites
6.3 Tasks and Tools Used
6.3.1 Task 1: Generate a List of Potential Process Variables
6.3.2 Task 2: Generating a List of Potential Input Variables
6.3.3 Task 3: Grouping of Potential Causes and
Creating a Fishbone Diagram
6.3.4 Task 4: Selecting Potential Causes for Data Collection
6.3.5 Task 5: Generating Stratifying Factors
6.4 Results
6.5 Tips
6.6 Time Required
6.7 Case Study
6.7.1 Task 1: Generating a List of Potential Process Causes
6.7.2 Task 2: Generating a List of Potential Input Causes
6.7.3 Task 3: Grouping Potential Causes and
Creating a Fishbone Diagram
6.7.4 Task 4: Selecting of Potential Causes for Data Collection
6.7.5 Task 5: Generating Stratifying Factors
7. Analysing the Measurement System
7.1 Objective
7.2 Prerequisites
7.3 Tasks and Tools Used
7.3.1 Task 1: Selecting Measurement Systems for
Measurement System Analysis
7.3.2 Task 2: Measurement System Analysis for Discrete Data
7.3.3 Task 3: Measurement System Analysis for
Continuous Data
7.4 Results
7.5 Tips
7.6 Time Required
7.7 Case Study
7.7.1 Task 1: Selecting Measurement Systems for
Measurement System Analysis
7.7.2 Task 2: Measurement System Analysis for Discrete data
8. Planning the Data Collection
8.1 Objective
8.2 Prerequisites
8.3 Tasks and Tools Used
8.3.1 Task 1: Establishing Requirements for Data Collection
8.3.2 Task 2: Determining Sample Size for Discrete Data
8.3.3 Task 3: Determining Sample Size for Continuous Data
8.3.4 Task 4: Planning Data Collection
8.4 Results
8.5 Tips
8.6 Required Time
8.7 Case Study
8.7.1 Task 1: Determining of Sample Size
8.7.2 Task 2: Planning Data Collection
9. Identifying Patterns in Data
9.1 Objective
9.2 Prerequisites
9.3 Tasks and Tools Used
9.3.1 Task 1: 1. Identifying Patterns over Time, in
Continuous Data
9.3.2 Task 2: Identifying Patterns Related to
Frequency, in Continuous Data
9.3.3 Task 3: Identifying Patterns Related to
Counts, in Discrete Data
9.4 Results
9.5 Tips
9.6 Required Time
9.7 Case Study
9.7.1 Task 1: Identifying Patterns in Data for Result
Variable Y
9.7.2 Task 2: Identifying Patterns in Data for
Potential Causes and Related Conditions
10. Determining Process Results
10.1 Objectives
10.2 Prerequisites
10.3 Tasks and Tools Used
10.3.1 Task 1: Testing Continuous Data for Normal
Distribution
10.3.2 Task 2: Calculating Process Results for
Normal-Distributed, Continuous Data
10.3.3 Task 3: Calculating Process Results of
Discrete or Non-Normal-Distributed, Continuous Data
10.4 Results
10.5 Tips
10.6 Time Required
10.7 Case Study
10.7.1 Task 1: Testing Continuous Data for Normal Distribution
10.7.2 Task 2: Determining the Process
Result for Non-Normal Distributed, Continuous Data
11. Analyse
11.1 Overview
11.2 Steps
11.3 Objectives
11.4 Prerequisites
11.5 Results
11.6 Checklist
11.7 Tips
11.8 Team Dynamics
11.9 Project Steps
12. Analysing the Process to Determine Critical Causes
12.1 Objectives
12.2 Prerequisites
12.3 Tasks and Tools Used
12.3.1 Task 1: Mapping the Process
12.3.2 Task 2: Investigate Interface Problems
12.3.3 Task 3: Discovering Wasted Resources
12.3.4 Task 4: Determining Process Efficiency
12.3.5 Task 5: Calculating Process Bottlenecks
12.3.6 Task 6: Determining Transportation and
Movement Operations
12.4 Results
12.5 Tips
12.6 Time Required
12.7 Case Study
12.7.1 Task 1: Showing the Waste of Resources
12.7.2 Task 2: Discovering Bottlenecks
12.7.3 Task 3: Summary of the Analysis Results
13. Analysing Data to Determine Vital Few Causes
13.1 Objective
13.2 Prerequisites
13.3 Tasks and Tools Used
13.3.1 Task 1: Analysing Continuous Y and Discrete X
13.3.2 Task 2: Analysing Continuous Y and Continuous X
13.3.3 Task 3: Analysing Discrete Y and Discrete X
13.3.4 Task 4: Analysing Discrete Y and Continuous X
13.4 Results
13.5 Tips
13.6 Time Required
13.7 Case Study
13.7.1 Task 1: Analysis of the Influence of X1 on Y
13.7.2 Task 2: Analysis of the Influence of X2 on Y
13.7.3 Task 3: Analysing the Influence of X3 on Y
13.7.4 Task 4: Analysis of the influence of X4, X5,
and X6 on Y
13.7.5 Task 5: Analysis of the Influence of X7 on Y
13.7.6 Task 6: Analysis of the Influence of X8 on Y
13.7.7 Task 7: Analysis of the Influence of X9 on Y
13.7.8 Task 8: Analysis of the Influence of X10 on Y
13.7.9 Task 9: Analysis of the Influence of X11 on Y
14. Analysing the Background for the Critical Causes
14.1 Objectives
14.2 Prerequisites
14.3 Tasks and Tools Used
14.3.1 Task 1: Determining the Driver For Critical Causes
14.4 Results
14.5 Tips
14.6 Time Required
14.7 Case Study
14.7.1 Task 1: Determining the driver for critical causes
15. Improve
15.1 Overview
15.2 Steps
15.3 Objectives
15.4 Prerequisites
15.5 Results
15.6 Checklist
15.7 Tips
15.8 Team Dynamics
15.9 Project Steps
16. Developing Solutions
16.1 Objective
16.2 Prerequisites
16.3 Tasks and Tools Used
16.3.1 Task 1: Generating Ideas for Solutions
16.3.2 Task 2: Develop and Evaluate Solutions
16.4 Results
16.5 Tips
16.6 Time Required
16.7 Case Study
16.7.1 Task 1: Generating Ideas for Solutions
16.7.2 Task 2: Develop and Evaluate Solutions
17. Analysing Risk and Implementing Solutions
17.1 Objective
17.2 Prerequisites
17.3 Tasks and Tools Used
17.3.1 Task 1: Analysing Process Risk
17.3.2 Task 2: Performing Pilot Tests
17.3.3 Task 3: Planning the Implementation
17.4 Results
17.5 Tips
17.6 Time Required
17.7 Case Study
17.7.1 Task 1: Analysing Process Risk
17.7.2 Task 2: Carrying Out Pilot Tests
17.7.3 Task 3: Planning the Implementation
18. CONTROL
18.1 Overview
18.2 Steps
18.3 Objectives
18.4 Prerequisites
18.5 Results
18.6 Checklist
18.7 Tips
18.8 Team Dynamics
18.9 Project Steps
19. Sustaining the Results
19.1 Objective
19.2 Requirements
19.3 Tasks and Tools Used
19.3.1 Task 1: Generating a Process Management Plan
19.3.2 Task 2: Establishing a Control System
19.3.3 Task 3: Demonstrating the Improvement
19.3.4 Task 4: Handing Over the Process
19.3.5 Task 5: Concluding the Project
19.4 Results
19.5 Tips
19.6 Time Required
19.7 Case Study
19.7.1 Task 1: Generating a Process Management Plan
19.7.2 Task 2: Establishing a Control System
19.7.3 Task 3: Demonstrating the Improvement
19.7.4 Task 4: Handing Over the Process
19.7.5 Task 5: Concluding the Project
Epilogue
Literature
Abbreviations
Glossary
0. Introduction
0.1 What is Lean Six Sigma?
Lean Six Sigma is a proven worldwide approach for process improvement that consists of tools from two very different methodologies, Lean and Six Sigma.
Lean has been developed over decades by Toyota and contains a variety of tools tailored to reduce waste in processes.
The objectives of Lean are, amongst others,
• Reduction of turn-around-time
• Reduction of storage costs
• Reduction of work in progress
• Reduction of working capital
• Increase of process efficiency
• Increase of process capacity
• Improvement of throughput of goods and services from customer requirement to delivery
• Motivation of process stakeholders
• Increase in customer satisfaction
• Improvement of organisational results
Six Sigma is a outcome of Motorola’s successful fight of production problems, resulting in customer dissatisfaction in their TV plants in the 80s and focuses on the reduction of omnipresent variation in processes.
The objectives of Six Sigma are, amongst others,
• Reduction of defects and rework
• Improvement of quality and process capability
• Increase in predictability of process results
• Increase in reliability of goods and services deliveries
• Increase of process capacity
• Motivation of process stakeholders
• Increase in customer satisfaction
• Improvement of organisational results
Due to the connection between variation and waste in a bi-directional cause and effect relationship, Lean Six Sigma has been developed to combine the tools of both methodologies into one toolset.
Looking at both approaches from the perspective of the process, it becomes obvious that Lean has a rather macro view, which shows a process from customer request all the way through to delivery. Contrary to that, Six Sigma is often used to analyse and solve specific problems within the process, frequently with a limited scope.
Over more than twenty years, Lean Six Sigma has been contributing to saving billions in dollars of costs as well as to generating additional revenue and income in a variety of organisations in nearly all industries. These organisations have been able to improve customer satisfaction and build stronger customer relationships as they turn around their processes in all stages of value creation. At the same time, they have been developing the next generation of leaders for their organisation whilst challenging them with problems to solve, to the benefit of the organisation. Even governmental ministries and agencies have been able to use this approach to increase customer satisfaction and process efficiency.
Whilst the tools within the Lean Six Sigma toolbox stem from both Lean and Six Sigma, the project management approach containing the phases DEFINE, MEASURE, ANALYSE, IMPROVE, CONTROL is taken from the Six Sigma toolbox. This project management cycle is often called DMAIC.
In addition to improving organisational processes, a Lean Six Sigma initiative often leads to contributing to strategic objectives. When Jack Welch led the implementation of Six Sigma in General Electric in the 90s, he intended and successfully implemented a cultural change for General Electric.
Table 0-1: General Electric’s cultural change supported by Six Sigma
0.2 How Does Lean Six Sigma Training Work?
Lean Six Sigma project leaders are the so-called Green Belts or Black Belts. Green Belt training usually lasts about ten days and is delivered in parallel to the working on an organisation relevant improvement project. The cycle of training and application lasts three to six months. After completing the training, passing the Lean Six Sigma Green Belt exam and delivering impactful business results through the project, a Green Belt certificate is issued.
With this exam, the Green Belt is eligible to join a so-called Black Belt training, which typically lasts another ten days and is also done in addition to working on a more complex project. After passing the exam and completing a project successfully, a Black Belt certificate will be issued. Following this, only a few outstanding Black Belts will go on to pursue the Master Black Belt certification track.
Developing Lean Six Sigma project leaders, especially Black Belts and Master Black Belts, is often a milestone in developing the next generation of leaders for the organisation, as the Lean Six Sigma education and project work equips them with additional tools and skills that will come in handy in their day-to-day work as leaders.
0.3 Why Has This Book Been Written?
Many of the books on the market that cover Lean Six Sigma are written from a high-level perspective covering the philosophy of this management methodology from various angles. Additionally, there are books that describe the tools involved, their application, and their theoretical background in much detail.
Contrary to that, this book explains the Lean Six Sigma methodology using a complete and detailed project documentation. The main case study as well as supporting cases are based on real Lean Six Sigma projects. To protect our clients, we have amended all names and data. The main project describes a finance company who faces client attrition and with this, a decrease in revenue and market share due to process problems. Throughout the book, the project work and especially the application of typical Lean Six Sigma tools are elaborated using this case. At the end, a drastically enhanced process landscape brings increased client satisfaction and loyalty that consequentially leads to lasting improvement in business results.
The idea of this book was borne out of an ever-repeated question by our clients for Lean Six Sigma case studies to support their newly trained and still inexperienced Lean Six Sigma Green or Black Belts. In addition to the training, this book offers a step-by-step guide for working on a project. The reader of this book should be introduced to the basics of Lean Six Sigma to fully appreciate the value of this book.
The objective of this book is to provide a reference project for the work through all phases of the DMAIC cycle. Furthermore, it gives practical hints for the application of rather complex tools without explaining their theoretical background. This book focuses on the application of these tools in the project rather than their theoretical derivation.
As mentioned above, Lean Six Sigma has been developed out of two approaches, Lean and Six Sigma. The core for Lean Six Sigma is still the Six Sigma process improvement approach that is enriched by powerful Lean tools that complement the Six Sigma toolbox. This book does not cover all possible Lean tools; it rather explains most of the Six Sigma tools and adds some Lean tools.
0.4 How Is This Book Structured?
This book is structured following the Six Sigma project cycle DMAC with its five stages: Define, Measure, Analyse, Improve, and Control.
Every chapter contains the following structure:
1. Overview
2. Steps
3. Objective