Systems 4.0: Systems Foundations for Industry 4.0

Description

The underlying premise for Industry 4.0 is a systems approach. This book introduces the concept of Systems 4.0 as a foundational requirement for the success of Industry 4.0 in the same way that Quality 4.0 has emerged to advance Industry 4.0. Systems 4.0: Systems Foundations for Industry 4.0 discusses the role of the professional engineer in advancing commerce and industry. It offers an introduction to Industry 4.0 and how to leverage the digital era to improve industrial operations. The book presents and describes the first industrial revolution on through to the fourth revolution and provides general systems engineering principles that can be used with Industry 4.0. This is a practical guide for professional engineers and consultants involved in Industrial Engineering, Mechanical Engineering, Operations Management and can also be used as a reference for students. Cover Half Title Series Page Title Page Copyright Page Dedication Page Table of Contents Acknowledgments Preface Author Biographies Chapter 1: Fundamentals of Industry 4.0 Introduction Elements of Industry 4.0 Technologies for Industry 4.0 Situational Awareness for Industry 4.0 Diversity of Cultures in Industry 4.0 Market Competition Under Industry 4.0 Global Labor Costs in Industry 4.0 Global Workforce Constraints Culture-Based Hierarchy of Needs Industry 4.0 Project Sustainability Extrapreneurship Concept for Industry 4.0 What is Extrapreneurship? Key Components of Extrapreneurship Strategic Partnering for Extrapreneurship Cooperation for Extrapreneurship Managing Extrapreneurial Projects Benefits of Extrapreneurship for Industry 4.0 Conclusion References Chapter 2: Elements of Systems 4.0 Introduction to Systems Approach Systems Engineering Models The Waterfall Model The V-model Spiral Model DAU Model Walking Skeleton Model Object Oriented Analysis and Design (OOAD) Competency Framework for Systems Engineering Systems Attributes, Factors, and Indicators Scope of Systems Engineering Systems Definitions and Attributes Systems Constraints Systems Value Modeling Model-Based Systems Engineering Elements of MBSE Systems Process Improvement Business Process Reengineering Lean Principles for Systems 4.0 Six Sigma Methodology for Systems 4.0 Conclusions References Chapter 3: Digital Manufacturing in Industry 4.0 Elements of Digital Manufacturing Leveraging 3D Printing National Impacts of Manufacturing Diversity of Manufacturing Processes Process Planning and Design Digitization Processes Bulk Forming Processes Sheet-Forming Processes Polymer Processes Machining Processes Assembly and Joining Processes Finishing Processes Non-traditional Manufacturing Processes Efficacy of Manufacturing Systems Part Interchangeability Systems Metrics Automation of Systems Conclusions References Chapter 4: The DEJI Systems Model in Industry 4.0 Systems Interactions What is Quality Assurance? The Taxonomy of Industrial Revolution Digitization in Industry 4.0 Phases of the DEJI Systems Model Soft and Hard Elements of Industry 4.0 Quality Tools for Industry 4.0 Origami in Industry 4.0 Design Conclusions References Chapter 5: Industry 4.0 Technology Transfer Within Systems 4.0 Introduction Characteristics of Technology Transfer Industry 4.0 and Technology Advancement Technology Transfer Modes Technology Change-Over Strategies Post-Implementation Evaluation Technology Systems Integration National Imperative for Technology Transfer Case Examples for Technology Transfer Pathway for Industrial Advancement PICK Chart for Technology Selection Quantification Methodology Technology Integration for Industry 4.0 Design for Technology Implementation Evaluation of Technology Justification of Technology Integration of Technology Conclusions References Chapter 6: Technology Cost Analysis in Systems 4.0 Technology Cost Definitions Cost and Cash Flow Analysis Technology Break-even Analysis Profit Ratio Analysis Technology Investment Analysis Conclusion References Chapter 7: Computational Tools for Systems 4.0 Introduction to Digital Twin for Systems 4.0 Digital Twin Design Challenges of Developing and Using Digital Twins Benefits of DTs Cognitive Digital Twins for Smart Systems 4.0 References Index