Implementing Industry 4. 0 in SMEs : Concepts, Examples and Applications.
| Main Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing AG,
2021.
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| Edition: | 1st ed. |
| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Implementing Industry 4.0 in SMEs
- Preface
- Acknowledgments
- About This Book/Project
- Contents
- Notes on Contributors
- List of Figures
- List of Tables
- PartI Implementing Industry 4.0 for Smart Manufacturing in SMEs
- 1 Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing
- 1.1 Introduction
- 1.2 Status of Industry 4.0 Implementation in SMEs
- 1.2.1 Review of Literature on Industry 4.0 Implementation in SMEs
- 1.2.2 Summary on the Adoption of Industry 4.0 Technologies in SMEs
- 1.3 Framework and Guidelines for Smart Manufacturing in SMEs
- 1.3.1 Axiomatic Design Guidelines for Implementing Industry 4.0 in SMEs
- 1.3.2 Framework for Highly Adaptable and Smart Manufacturing in SMEs
- 1.3.3 Three-Stage Model for Implementing Industry 4.0 in SMEs
- 1.4 Industry 4.0+: An Outlook on Future Challenges for SMEs
- References
- 2 Computational Intelligence in the Context of Industry 4.0
- 2.1 Introduction
- 2.2 Neural Networks
- 2.2.1 Fundamentals of Neural Networks
- 2.2.2 Use of Neural Networks in the Context of Industry 4.0
- 2.3 Fuzzy Systems
- 2.3.1 Fundamentals of Fuzzy Systems
- 2.3.2 Use of Fuzzy Systems in the Context of Industry 4.0
- 2.4 Evolutionary Computation
- 2.4.1 Fundamentals of Evolutionary Computation
- 2.4.2 Use of Evolutionary Computation in the Context of Industry 4.0
- 2.5 Swarm Intelligence
- 2.5.1 Fundamentals of Swarm Intelligence
- 2.5.2 Use of Swarm Intelligence in the Context of Industry 4.0
- 2.6 Artificial Immune Systems
- 2.6.1 Fundamentals of Artificial Immune Systems
- 2.6.2 Use of Artificial Immune Systems in the Context of Industry 4.0
- 2.7 Big Data
- 2.8 Deep Learning
- 2.8.1 Fundamentals of Deep Learning
- 2.8.1.1 Autoencoders
- 2.8.1.2 Recurrent Neural Networks (RNN)
- 2.8.1.3 Convolutional Neural Networks (CNN).
- 2.8.2 Use of Deep Learning in the Context of Industry 4.0
- 2.9 Use of Computational Intelligence in Cyber-Physical Systems
- 2.10 Case Study: Industrial Parts Recognition by Convolutional Neural Networks for Assisted Assembly
- 2.10.1 Input Samples Generation from 3D Virtual Models
- 2.10.2 Identification of a Region of Interest for Recognition of Small Parts
- 2.10.3 Convolutional Network Transform Learning
- 2.10.4 Implementation into Devices for Assisted Assembly
- 2.10.4.1 Implementation into Embedded Devices
- 2.10.4.2 Implementation to VR/AR Devices
- 2.11 Discussion
- 2.12 Conclusion and Future Prospects
- References
- 3 AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing
- 3.1 Introduction
- 3.2 Artificial Intelligence and Machine Learning
- 3.2.1 What's Artificial Intelligence?
- 3.2.2 What's Machine Learning?
- 3.2.3 What's the Relation Between Artificial Intelligence and Machine Learning?
- 3.3 Human-Robot Cooperation for Smart Manufacturing
- 3.3.1 CPS and Safety
- 3.3.2 Human-Robot Cooperation in Assembly
- 3.4 Conclusions
- References
- 4 Industrial Assistance Systems to Enhance Human-Machine Interaction and Operator's Capabilities in Assembly
- 4.1 Introduction
- 4.2 Theoretical Background
- 4.2.1 Industrial Assistance Systems
- 4.2.2 User Groups in Production
- 4.2.3 Importance of Human-Machine Interaction in Production
- 4.2.4 Relevance of Assistance Systems in Literature
- 4.3 Overview of Industrial Assistance Systems in Production
- 4.3.1 Sensorial Worker Assistance Systems
- 4.3.2 Physical Worker Assistance Systems
- 4.3.3 Cognitive Worker Assistance Systems
- 4.4 Discussion of Risks, Challenges, and Potential
- 4.5 Conclusion
- References
- PartII Implementing Industry 4.0 for Smart Logistics in SMEs.
- 5 Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies
- 5.1 Introduction
- 5.2 Problem Formulation
- 5.3 Related Work
- 5.4 Research Design/Methodology
- 5.5 Results and Discussion
- 5.5.1 Research Question 1 (RQ1): Comparative Evaluation of PPC Strategies
- 5.5.2 Research Question 2 (RQ2): Evaluation of Real-Time Data Usage within the PPC Strategies
- 5.6 Conclusions and Outlook
- References
- 6 Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics
- 6.1 Introduction
- 6.2 Related Works
- 6.3 Readiness Model for Integration of ICT and CPS for Smart Logistics
- 6.4 Stages of Readiness
- 6.5 Readiness Process Areas
- 6.6 Conclusion and Outlook
- References
- 7 Automated Performance Measurement in Internal Logistics Systems
- 7.1 Introduction
- 7.2 Problem Formulation
- 7.3 Monitoring and Controlling-Enablers for High-Level Responsiveness and Systematic Planning
- 7.4 State-of-the-Art and Literature Review
- 7.5 Deduction of a Model for Availability and Performance Assessment
- 7.6 Discussion and Further Research Directions
- 7.7 Conclusions
- References
- 8 A Case Study: Industry 4.0 and Human Factors in SMEs
- 8.1 Introduction
- 8.2 Problem Formulation
- 8.3 Related Work
- 8.4 Learning and Learning Culture
- 8.5 A Case of Human Factors in Implementing New Technology
- 8.5.1 The Objective of Investigation: The Company 'Precision Machine Products, Inc.' (PMP)
- 8.5.2 The Project
- 8.5.3 The Human Factor
- 8.6 Conclusions and Outlook
- References
- PartIII Organizational and Management Models for Smart SMEs
- 9 Transition of SMEs Towards Smart Factories: Business Models and Concepts
- 9.1 Introduction
- 9.2 Importance of Systems Approach in Transforming Organizations.
- 9.3 Transition of SMEs Towards Platform-Based Business Models
- 9.3.1 A Quantitative Analysis of Platform-Based Business Models
- 9.3.2 A Qualitative Analysis of Platform-Based Business Models
- 9.3.3 Typical Features of Platform-Based Business Models
- 9.4 New Work Roles in Industry 4.0 Environment
- 9.5 Conclusions
- References
- 10 Toward SME 4.0: The Impact of Industry 4.0 Technologies on SMEs' Business Models
- 10.1 Introduction
- 10.2 Background
- 10.2.1 Industry 4.0
- 10.2.2 Business Model
- 10.2.3 Small- and Medium-Sized Enterprises
- 10.3 Methodology
- 10.3.1 Literature Review Methodology
- 10.3.2 Contingency Analysis of the Literature Review Findings
- 10.3.3 Secondary Data Analysis Methodology
- 10.4 Results
- 10.4.1 Content Analysis of the Reviewed Papers
- 10.4.1.1 Overarching Trends in the Reviewed Papers
- 10.4.1.2 Business Model Building Blocks Modified by Industry 4.0 Implementation
- 10.4.1.3 Contingency Analysis of Industry 4.0 Technologies and Business Model Building Blocks
- 10.4.2 Secondary Data Analysis
- 10.5 Discussion and Conclusion
- Appendix I: 30 Sample SMEs
- References
- 11 General Assessment of Industry 4.0 Awareness in South India-A Precondition for Efficient Organization Models?
- 11.1 Introduction
- 11.2 Literature Review
- 11.3 Problem Description
- 11.4 Methodology
- 11.5 Results and Discussion
- 11.5.1 General Awareness, Age and Education
- 11.5.2 Expectations of Importance for SMEs
- 11.5.3 Living Conditions Effects Expectations
- 11.6 Conclusions
- References
- 12 Implementation Strategies for SME 4.0: Insights on Thailand
- 12.1 Introduction
- 12.2 Implementation Strategies for SMEs
- 12.2.1 Phase 1-Analysis
- 12.2.2 Phase 2-Development Plan
- 12.2.3 Phase 3-Implementation Strategies
- 12.3 Industry 4.0 Implementation in Thailand
- 12.4 Case Study-Thai Agritech SME.
- 12.4.1 Business Idea of Agritech
- 12.4.2 Plant Factory-The Foresight of Agritech Business
- 12.4.3 Technology Blueprint Development-Plant Factory
- 12.4.4 Requirement of New Skills-Addressing SME 4.0
- 12.4.5 Implementation Strategies for SME 4.0
- 12.5 Discussion
- References
- Index.