Handbook of Systems Thinking Methods

Paul M. Salmon, Neville A. Stanton, Guy H. Walker, Adam Hulme, Natassia Goode, Jason Thompson, Gemma J.M. Read

• Publisher: CRC Press
• Year: 2022
• Print ISBN: 9780367220174
• eBook ISBN: 9781000602791
• Edition: 1
• Topic: Biological Sciences
• Subtopic: Human-Computer Interaction
• Index: Biological Sciences

The systems thinking philosophy has become popular in human factors and ergonomics and safety science. These methods are being used to understand and resolve complex societal problems in areas such as transport safety, workplace safety, medication error, disaster management, child abuse, financial crises, terrorism, climate change and public health and wellbeing. This handbook presents practical step-by-step guidance for practitioners and researchers wishing to use these methods to tackle complex problems. Each method includes an example case study which demonstrates how the method can be applied and how the results can be interpreted and translated into practical recommendations.

The book presents practical guidance on state-of-the-art systems thinking methods and offers case study applications describing systems thinking methods in novel areas. It explains how to translate the outputs of systems thinking methods in practice and introduces systems thinking with an overview of Human Factors and Ergonomics applications.

This book will serve as a great reference for students and engineers in the field of systems engineering, complex systems and the design and development of systems, including ergonomics/human factors and systems engineers, designers, architects, industrial engineers, project management engineers, reliability engineers, risk engineers, software engineers and computer engineers.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Contents
• Preface
• Acknowledgements
• Author Biographies
• Section I Introduction to Systems Thinking
• Section II Risk Assessment Methods
• Section III Systems Analysis and Design Methods
• Section IV Accident Analysis Methods
• Section V Computational Modelling Methods
• Section VI Many Model Systems Thinking
• Index