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.
Author(s): Adedeji B. Badiru, Olufemi A. Omitaomu
Series: Analytics and Control
Publisher: CRC Press
Year: 2023
Language: English
Pages: 154
City: Boca Raton
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
