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Smart Product-Service Systems

  • 1st Edition - June 23, 2021
  • Latest edition
  • Authors: Pai Zheng, Chun-Hsien Chen, Zuoxu Wang
  • Language: English

Smart Product-Service Systems draws on innovative practice and academic research to demonstrate the unique benefits of Smart PSS and help facilitate its effective implement… Read more

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Description

Smart Product-Service Systems draws on innovative practice and academic research to demonstrate the unique benefits of Smart PSS and help facilitate its effective implementation. This comprehensive guide explains how Smart PSS reshapes product-service design in several unique aspects, including a closed-loop product design and redesign manner, value co-creation with integrated human-machine intelligence, and solution design context-awareness. Readers in industry as well as academia will find this to be an invaluable guide to the current body of technical knowledge on Smart Product-Service Systems (Smart PSS), future research trajectories, and experiences of implementation.

Rapid development of information and communication technologies, artificial intelligence, and digital technologies have driven today’s industries towards the so-called digital servitization era. As a result, a promising IT-driven business paradigm, known as Smart Product-Service Systems (Smart PSS) has emerged, where a large amount of low cost, high performance smart, connected products are leveraged, together with their generated on-demand services, as a single solution bundle to meet individual customer needs.

Key features

  • Explains what factors a company needs to consider in their transition towards digital servitization and its advantages
  • Describes how this field relates to the sustainability movement, and how Smart PSS can be implemented in a sustainable way
  • Includes detailed case studies from different industries, including DELTA Electronics Inc. Singapore (smart commercialization), COMAC aviation industry (smart manufacturing servitization), and Van High Tech (smart building services)

Readership

Researchers, engineers, managers, and consultants with an interest in smart products and manufacturing

Table of contents

1. Introduction

1.1 Transition toward digital servitization

1.2 Motivation and vision

1.3 Content organization

2. Evolvement of IT-driven product-service systems

2.1 A brief recap of product-service systems (PSS)

2.2 IT-driven PSS evolvement

2.3 Chapter summary

3. Fundamentals of Smart Product-Service Systems3.1 Basic notions

3.2 Technical aspect

3.3 Business aspect

3.4 Fundamentals of Smart PSS development

3.5 Chapter summary

4. Design entropy theory

4.1 Challenges of typical design methodologies

4.2 Design entropy theory

4.3 Self-adaptable design process of smart PSS

4.4 Information conversion map tool

4.5 Case study

4.6 Summary

5. New IT-driven Value Cocreation Mechanism

5.1 Value cocreation mechanism

5.2 Hybrid intelligence via crowd-sensing

5.3 Case study

5.4 Chapter summary

6. Graph-based context-aware product-service family configuration6.1 Product-service family configuration in smart PSS

6.2 Graph-based product-service-context modeling

6.3 Requirement management based on the graph model

6.4 Solution configuration based on the hypergraph model

6.5 Case study

6.6 Chapter summary

7. Digital twin-enhanced product family design and optimization

7.1 Digital twin-enabled servitization

7.2 Trimodel-based generic framework

7.3 DT-enhanced product family design

7.4 DT-driven product family optimization

7.5 Case study featuring a context-aware DT system

7.6 Chapter summary

8. Engineering lifecycle implementations of smart product-service system

8.1 Design stage

8.2 Manufacturing stage

8.3 Distribution stage

8.4 Usage stage

8.5 End-of-life stage

8.6 Application scenarios

8.7 Chapter summary

9. Toward sustainable smart product-service systems

9.1 Two directions for promoting sustainability

9.2 Fundamentals of sustainable smart PSS (SSPSS)

9.3 Systematic framework for developing SSPSS

9.4 A four-phase PDCA procedure in the cyber space

9.5 Case study

9.6 Chapter summary

10. Conclusions and future perspectives

10.1 Conclusion

10.2 Future perspectives

Product details

  • Edition: 1
  • Latest edition
  • Published: June 23, 2021
  • Language: English

About the authors

PZ

Pai Zheng

Pai Zheng is currently an Assistant Professor and Wong Tit Shing Endowed Young Scholar in Smart Robotics in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. His research interests include smart product-service systems, human–robot collaboration, and industrial AI. Dr. Zheng is a senior member of IEEE and CMES, a member of ASME and HKIE, and a research affiliate of CIRP. He serves as the Associate Editor of the Journal of Intelligent Manufacturing and the Journal of Cleaner Production, and is an editorial board member of the Journal of Manufacturing Systems and Advanced Engineering Informatics.
Affiliations and expertise
Assistant Professor and Wong Tit Shing Endowed Young Scholar, Dept. of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR

CC

Chun-Hsien Chen

Chun-Hsien Chen is a Full Professor at the School of Mechanical and Aerospace Engineering of Nanyang Technological University, Singapore, where he is also Director of the Design Stream and Professor-in-Charge of the Design & Human Factors Laboratory. He has several years of product design and development experience in industry. His teaching and research interests are in collaborative/human-centric, consumer-oriented product design and development, knowledge engineering, design sciences, engineering informatics, and artificial intelligence in product/engineering design. He has more than 280 publications in these areas.
Affiliations and expertise
School of Mechanical and Aerospace Engineering of Nanyang Technological University, Singapore

ZW

Zuoxu Wang

Ms. Wang Zuoxu, is currently a Researcher with the Delta-NTU Corporate Laboratory for Cyber-Physical Systems, in the School of Electrical and Electronic Engineering, at Nanyang Technological University (NTU), Singapore. She has submitted her Ph.D. thesis in the School of Mechanical and Aerospace Engineering, at NTU, in 2020 and received the B.Eng. degree from the School of Mechanical Engineering, Tianjin University, China, in 2016. Her research interests mainly lie in smart product-service systems, and engineering design informatics.
Affiliations and expertise
Researcher, Delta-NTU Corporate Laboratory for Cyber-Physical Systems, School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore

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