Smart Product-Service Systems

Häftad, Engelska, 2021

1 958 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

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)

Produktinformation

Utgivningsdatum:2021-06-24
Mått:152 x 229 x 14 mm
Vikt:430 g
Format:Häftad
Språk:Engelska
Antal sidor:254
Förlag:Elsevier Science
ISBN:9780323852470

Utforska kategorier

Maskinteknik och material inom Naturvetenskap och teknik

Mer om författaren

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. 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. 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.

Innehållsförteckning

1. Introduction2. Evolvement of IT-driven product-service systems3. Fundamentals of Smart Product-Service Systems4. Design entropy theory5. New IT-driven Value Cocreation Mechanism6. Graph-based context-aware product-service family configuration7. Digital twin-enhanced product family design and optimization8. Engineering lifecycle implementations of smart product-service system9. Toward sustainable smart product-service systems10. Conclusions and future perspectives