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The eight discipline (8D) problem-solving methodology includes the following: Select an appropriate team Formulate the problem definition Activate interim containment Find root cause(s) Select and verify correction(s) Implement and validate corrective action(s) Take preventive steps Congratulate the team This unique book provides an overview of the 8D process, gives guidance on tools for finding root causes, shows 8D in action in eight case studies, and gives five unsolved problems for readers to apply 8D themselves for practice. Anyone who wants to improve quality, regardless of the industry they come from, will benefit from the 8D approach. It has been successfully applied in healthcare, retail, finance, government, and manufacturing.
Modular Kaizen is a development of necessity. Improvement has to happen on the fly in our rapidly changing world. This book is about using the resources, people, and schedules already in place to get things done. Modular Kaizen is the counterpoint to a kaizen blitz, in which team members are confined in a room to hammer out an opportunity or a solution to some problem. In the hectic, interrupt-driven environment of many organizations, it is simply not possible to remove critical players from normal operations for any length of time. Grace Duffy draws on 40 years of experience to incorporate techniques, innovations, and lessons learned in pursuit of effective continuous and breakthrough improvement. Part I provides the conceptual model along with steps and tools for process and system improvement in an extremely busy and interrupt-driven workplace. Part II offers three case studies—from manufacturing, healthcare, and aerospace—to show how the techniques work in real time. If you are looking for proven approaches to integrating quality improvement into daily work, this is your book. It is written for those of us who have to “get it done,” not just talk about it. So roll up your sleeves and dig in.
"The process by which a company identifies, frames, acts and reviews progress on problems, projects and proposals can be found in the structure of the A3 process ... follow the story of a manager ... and his report ... which will reveal how the A3 can be used as a management process to create a standard method for innovating, planning, problem-solving, and building structures for a broader and deeper form of thinking - a practical and repeatable approach to organizational learning"--Publisher's description.
The purpose of this book is to share what the author has learned about effective problem solving by exposing the ineffectiveness of conventional wisdom and presenting a principle-based alternative called Apollo Root Cause Analysis that is robust, yet familiar and easy to understand. This book will change the way readers understand the world without changing their minds. One of the most common responses the author has received from his students of Apollo Root Cause Analysis is they have always thought this way, but did not know how to express it. Other students have reported a phenomenon where this material fundamentally re-wires their thinking, leading to a deeply profound understanding of our world. At the heart of this book is a new way of communicating that is revolutionizing the way people all around the world think, communicate, and make decisions together. Imagine a next decision-making meeting where everyone is in agreement with the causes of the problem and the effectiveness of the proposed corrective actions with no conflicts, arguments, or power politics! This is the promise of Apollo Root Cause Analysis.
Although there are many books on root cause analysis (RCA), most concentrate on team actions such as brainstorming and using quality tools to discuss the failure under investigation. These may be necessary steps during RCA, but authors often fail to mention the most important member of an RCA team the failed part.Root Cause Analysis: A Step-By-Step
"Immerse yourself in the evolving world of automotive technology with ADAS and Automated Driving - Systems Engineering. Explore advanced driver assistance systems (ADAS) and automated driving, revealing the automotive industry’s technological revolution. As technology becomes a driving force, this book serves as a guide to understanding cutting-edge technologies deployed by leading vehicle manufacturers. Discover how multiple systems synergize to provide ADAS and automated driving functions. Authored by an industry expert, this book explores systems engineering’s crucial role in designing, safety-critical cyber-physical systems. Gain practical insights into the processes and methods adapted for the current technological era of software-defined vehicles, influenced by AI, digitalization, and rapid technological advances. Whether you're a seasoned engineer navigating the shift to software-defined vehicles or a student eager to grasp systems engineering methods, this book is your key to unlocking the skills demanded in the exciting era of digitalization. Immerse yourself in real-world examples drawn from industry experiences, bridging the gap between theory and practical application. Gain the knowledge and expertise needed to embark on projects involving the intricate world of cyber-physical systems with ADAS and Automated Driving - Systems Engineering. “As this book demonstrates, systems engineering is needed more than ever to navigate the complexities of the type of projects where alternative delivery models are applied and to help ensure effective delivery even within the constraints of aggressive and adaptable schedules.” Dr David Ward Global Head of Vehicle Resilience—Functional Safety HORIBA MIRA Limited “This book holistically explains the lifecycle and the processes for ADAS and autonomous systems and their influence on the overall vehicle over its complete lifecycle.” Matthias Schulze Vice President, ADAS Product, ecarx" (ISBN 9781468607444, ISBN 9781468607451, ISBN 9781468607468, DOI 10.4271/9781468607451)
Through ten editions, Fox and McDonald's Introduction to Fluid Mechanics has helped students understand the physical concepts, basic principles, and analysis methods of fluid mechanics. This market-leading textbook provides a balanced, systematic approach to mastering critical concepts with the proven Fox-McDonald solution methodology. In-depth yet accessible chapters present governing equations, clearly state assumptions, and relate mathematical results to corresponding physical behavior. Emphasis is placed on the use of control volumes to support a practical, theoretically-inclusive problem-solving approach to the subject. Each comprehensive chapter includes numerous, easy-to-follow examples that illustrate good solution technique and explain challenging points. A broad range of carefully selected topics describe how to apply the governing equations to various problems, and explain physical concepts to enable students to model real-world fluid flow situations. Topics include flow measurement, dimensional analysis and similitude, flow in pipes, ducts, and open channels, fluid machinery, and more. To enhance student learning, the book incorporates numerous pedagogical features including chapter summaries and learning objectives, end-of-chapter problems, useful equations, and design and open-ended problems that encourage students to apply fluid mechanics principles to the design of devices and systems.
A comprehensive reference manual to the Certified Quality Technician Body of Knowledge and study guide for the CQT exam.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.