Smart Product-Service Systems

Smart Product-Service Systems

1st Edition - June 23, 2021

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  • Authors: Pai Zheng, Chun-Hsien Chen, Zuoxu Wang
  • Paperback ISBN: 9780323852470
  • eBook ISBN: 9780323852487

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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)


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 Systems
    3.1 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 configuration
    6.1 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

  • No. of pages: 254
  • Language: English
  • Copyright: © Elsevier 2021
  • Published: June 23, 2021
  • Imprint: Elsevier
  • Paperback ISBN: 9780323852470
  • eBook ISBN: 9780323852487

About the Authors

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 intelligent manufacturing systems. Dr. Zheng is a Chartered Engineer and a member of the Hong Kong Institution of Engineers (HKIE), senior member of IEEE and CMES, and member of ASME. He serves as the Associate Editor of Journal of Intelligent Manufacturing and Journal of Cleaner Production, Editorial Board Member of the Journal of Manufacturing Systems and Advanced Engineering Informatics. Dr. Zheng has published 1 monograph entitled Smart Product-Service Systems (Elsevier), 61 SCI-indexed journal papers (9 ESI high-cited ones), filed 2 Chinese patents, and won 2 International Best Conference Paper Awards. He has been listed in the 2020 and 2021 Stanford list of World’s Top 2% Scientists in Industrial Engineering & Automation and Top 50 Global AI+X Chinese Young Scholars by Baidu in 2022.

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

Chun-Hsien Chen

Chun-Hsien Chen is an Associate Professor at the School of Mechanical & Aerospace Engineering of Nanyang Technological University, Singapore, where he is also Director of the Design Stream, and Deputy Director of MSc in Smart Product Design Program. He has several years of product design & 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 220 publications in these areas

Affiliations and Expertise

Associate Professor (tenured), School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

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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