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Digital and Collaborative Systems for Innovative Manufacturing

  • 1st Edition - December 1, 2026
  • Latest edition
  • Editors: Mukund Janardhanan, S.G. Ponnambalam, J. Paulo Davim
  • Language: English

In today's rapidly evolving industrial landscape, businesses must innovate to meet customer needs and achieve organizational goals. Digital and Collaborative Systems for In… Read more

Description

In today's rapidly evolving industrial landscape, businesses must innovate to meet customer needs and achieve organizational goals. Digital and Collaborative Systems for Innovative Manufacturing explores the vital role of digitalization and collaboration in manufacturing, presenting the latest research on technologies that drive innovative systems. It emphasizes the integration of cutting-edge tools, connectivity, and collaborative practices to enhance productivity and efficiency. Structured in two sections, the first part covers the principles of digital and collaborative systems, focusing on key concepts and trends that facilitate manufacturing innovation. The second part delves into designing and managing collaborative manufacturing ecosystems, highlighting supply chain integration, digital collaboration platforms, and human–robot cooperation. Featuring case studies and best practices from various industries worldwide, this book offers practical insights into the current state of digital manufacturing. Key themes include digital transformation, sustainability, collaborative ecosystems, and emerging business models. Intended for scientists, engineers, academics, manufacturing service providers, and technical management professionals, this comprehensive guide is essential for navigating the challenges and opportunities of Industry 4.0 and 5.0 in a competitive digital age.

Key features

  • Provides tailored strategies to guide manufacturing organizations through successful digital transformation, enhancing efficiency and competitiveness
  • Implements cutting-edge technologies to optimize manufacturing processes and drive innovation
  • Explores the synergy between humans and robots, shaping the future of work in the manufacturing sector
  • Ensures the safety and integrity of digital manufacturing systems through comprehensive cybersecurity measures and risk management strategies
  • Identifies and analyzes upcoming trends that will shape the future landscape of digital and collaborative manufacturing

Readership

The intended readership for the proposed book includes industry professionals, academics, researchers, and students involved in the field of manufacturing; it caters to individuals from various disciplines, such as industrial engineering, manufacturing engineering, operations management, supply chain management, and business administration

Table of contents

Section 1 Principles and essentials of digital
and collaborative systems in manufacturing
1 Foundations of the human digital twin in human-in-the-loop
collaborative manufacturing systems: Concepts, frameworks,
and models
Xing Wang, Travis Augenstein, Dipesh Patel, Zeqiang Zhu,
and Yuqian Lu

1 Introduction

2 HDT concept

3 Challenges in designing HDT for HiLoCS

4 Taxonomy of human needs in the manufacturing field

5 Mapping human needs to HDT

6 Conclusion
References
2 Enabling technologies for digital manufacturing and intelligent
factory systems
Chenyu Zheng and Zixiang Li

1 Introduction

2 Problem description and CP model

3 Knowledge-based co-evolutionary algorithm

4 Experimental tests and results

5 Conclusion and future work
References
3 Digital transformation and emerging technologies in
manufacturing: Integrating human-centered design with Industry
4.0 and 5.0 innovations
Manish Sharma

1 Introduction

2 Materials and methods

3 Formal analysis and investigation, validation, calculation,
and expression of results

4 Discussion and evaluation

5 Conclusion
Acknowledgments
References
4 Online detection of backlash in an industrial robot using neural
network methods
Yohanathan Kumaran and Chee Pin Tan

1 Introduction

2 Nonlinear autoregressive network with exogenous
inputs (NARX) method

3 Anomaly detection using a deep-learning approach 000

4 Long short-term memory

5 Autoencoder

6 Results and discussion

7 Conclusion
References
Section 2 Digital and collaborative manufacturing
ecosystem
5 Operationalizing the human digital twin: Core functions
and use cases in collaborative manufacturing systems
Xing Wang, Travis Augenstein, Dipesh Patel, Zeqiang Zhu,
and Yuqian Lu

1 Introduction

2 Applications and services

3 Use cases

4 Conclusion and future research directions
References
6 AI-Based predictive maintenance and quality diagnosis in battery
manufacturing
Jingyuan Zhao and Andrew F. Burke

1 Introduction

2 System framework and architecture

3 Formal analysis and validation

4 Discussion and evaluation

5 Conclusion
References
7 Digital transformation of medical manufacturing through
multiscale and multimodal data
Jishizhan Chen

1 Introduction

2 Macroscale: Imaging-guided implant manufacturing

3 Mesoscale: Digital biofabrication of tissue models

4 Multiscale data and digital modeling in drug design

5 Cellular scale: Automated cell therapy production

6 Challenges and future direction
References
8 Digital transformation in furniture manufacturing:
A case study of practical implementation
Chao Liu, Ben Clegg, Balint Newton Turcsanyi, James Mercy,
and Dominic Boniface

1 Introduction

2 Materials and methods

3 Formal analysis and investigation, validation, calculation,
and expression of results

4 Validation, calculation and expression of results

5 Discussion and evaluation

6 Summary and conclusions
Acknowledgments
References
9 Investigation of barriers and challenges and an improvement
proposal for adopting Industry 4.0-based technologies in the
lean-agile supply chain of the UK manufacturing sector
Elif Cirkin Hawkins

1 Introduction

2 Materials and methods

3 Formal analysis and investigation, validation, calculation,
and expression of results

4 Discussion and evaluation

5 Conclusion
References
10 Advanced solder materials for the manufacturing industry:
Evolution, materials design, microstructural stability, reliability,
and future directions
Jayesh Shanthi Bhavan

1 Introduction

2 Historical evolution of solder materials over the last three decades

3 Phase diagrams

4 Functional requirements of solder materials in manufacturing

5 Thermodynamics, phase equilibria, and solidification behavior

6 Major alloy families

7 Wetting, solderability, and process compatibility

8 Substrate metallurgy, surface finishes, and interfacial
engineering

9 Microstructure and the central role of β-Sn anisotropy

10 IMCs: Formation, growth, and stability

11 Mechanical behavior: Elasticity, plasticity, creep, and fracture

12 Thermal fatigue, thermomechanical fatigue, and drop/shock
reliability

13 Electromigration and current-induced damage

14 Corrosion, oxidation, and tin whiskers

15 Low-temperature solders

16 Composite, microalloyed, and nano-reinforced solders

17 Characterization and modeling approaches

18 Small-angle neutron scattering (SANS) analysis

19 Sustainability, cost, and industrial manufacturability

20 Critical synthesis of the literature

21 Future directions

22 Conclusion
References
11 Tribological behavior of graphite nanoparticle-based
cutting fluids in manufacturing operations
Ganesan Kanagaraj

1 Introduction

2 Materials and methods

3 Conclusion
References
12 Manufacturing-oriented enhancement of corner machining
through path modification in wire electrical discharge machining
Ganesan Kanagaraj

1 Introduction

2 Materials and methods

3 Discussion and evaluation

4 Conclusion
Acknowledgements
References
Innovations

Product details

  • Edition: 1
  • Latest edition
  • Published: December 1, 2026
  • Language: English

About the editors

MJ

Mukund Janardhanan

Dr. Mukund Janardhanan serves as the Head of the Sustainable Engineering and Manufacturing Group and Associate Professor at the esteemed WMG department, University of Warwick. With over a decade of experience spanning academia and industry, Mukund is passionate about leveraging digital technologies and optimizing manufacturing systems to drive innovation, sustainability, and excellence in engineering education and research. He has published over 70 articles in leading international journals and conferences. He has served as a guest editor for special issues in top-tier journals and as a program committee member for international conferences.

Mukund was awarded the University Distinguished Teaching Fellowship in 2023 by the University of Leicester, recognizing his outstanding contributions to research inspired education. A Chartered Engineer with the Institute of Mechanical Engineers and a Fellow of the Higher Education Academy.

Affiliations and expertise
Head of Sustainable Engineering and Manufacturing Group and Associate Professor; WMG Department, University of Warwick, UK

SP

S.G. Ponnambalam

S. G. Ponnambalam has forty-one years of experience with thirty-nine years in academia and two years in a manufacturing company as Production Engineer. He is currently holding Dean (Research) position at AMET University, Chennai, India. Earlier he held senior academic positions at VIT University, India, University Malaysia Pahang, Malaysia, Monash University Malaysia, National Institute of Technology, Tiruchirappali, and PSG College of Technology, India. His area of expertise includes design and analysis of automated manufacturing systems and robotic assembly line systems. He is serving as Associate Editor and as editorial board member for many international journals. He has over 300 articles published in various referred journals and refereed conference proceedings. Professor Ponnambalam has also edited books in the field of manufacturing systems and supply chain.

He is a Fellow of the Institution of Mechanical Engineers (UK) and a Chartered Engineer registered with the Engineering Council, UK. He is also a senior member of IEEE, USA.

Affiliations and expertise
Academy of Maritime Education and Training (Deemed to be University), 135 East Coast Road Chennai, India

JD

J. Paulo Davim

Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.
Affiliations and expertise
Full Professor, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal