A data-driven reversible framework for achieving sustainable smart product-service systems
Higher sustainability with extended product lifecycle is a tireless pursuit in companies’ product design/development endeavours. In this regard, two prevailing concepts, namely the smart circular system and smart product-service system (Smart PSS), have been introduced, respectively. However, most e...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/161172 |
| _version_ | 1811685666064433152 |
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| author | Li, Xinyu Wang, Zuoxu Chen, Chun-Hsien Zheng, Pai |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Li, Xinyu Wang, Zuoxu Chen, Chun-Hsien Zheng, Pai |
| author_sort | Li, Xinyu |
| collection | NTU |
| description | Higher sustainability with extended product lifecycle is a tireless pursuit in companies’ product design/development endeavours. In this regard, two prevailing concepts, namely the smart circular system and smart product-service system (Smart PSS), have been introduced, respectively. However, most existing studies only focus on the sustainability of physical materials and components, without considering the cyber-physical resources as a whole, let alone an integrated strategy towards the so-called Sustainable Smart PSS. To fill the gap, this paper discusses the key features in Sustainable Smart PSS development from a broadened scope of cyber-physical resources management. A data-driven reversible framework is hereby proposed to sustainably exploit high-value and context-dependent information/knowledge in the development of Sustainable Smart PSS. A four-step context-aware process in the framework, including requirement elicitation, solution recommendation, solution evaluation, and knowledge evolvement, is further introduced to support the decision-making and optimization along the extended or circular lifecycle. An illustrative example is depicted in the sustainable development of a smart 3D printer, which validates the feasibility and advantages of the proposed framework. As an explorative study, it is hoped that this work provides useful insights for Smart PSS development with sustainability concerns in a cyber-physical environment. |
| first_indexed | 2024-10-01T04:48:09Z |
| format | Journal Article |
| id | ntu-10356/161172 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:48:09Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1611722022-08-17T06:18:09Z A data-driven reversible framework for achieving sustainable smart product-service systems Li, Xinyu Wang, Zuoxu Chen, Chun-Hsien Zheng, Pai School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering Delta-NTU Corporate Laboratory for Cyber-Physical Systems Engineering::Electrical and electronic engineering Engineering::Mechanical engineering Smart Product-Service System Sustainability Higher sustainability with extended product lifecycle is a tireless pursuit in companies’ product design/development endeavours. In this regard, two prevailing concepts, namely the smart circular system and smart product-service system (Smart PSS), have been introduced, respectively. However, most existing studies only focus on the sustainability of physical materials and components, without considering the cyber-physical resources as a whole, let alone an integrated strategy towards the so-called Sustainable Smart PSS. To fill the gap, this paper discusses the key features in Sustainable Smart PSS development from a broadened scope of cyber-physical resources management. A data-driven reversible framework is hereby proposed to sustainably exploit high-value and context-dependent information/knowledge in the development of Sustainable Smart PSS. A four-step context-aware process in the framework, including requirement elicitation, solution recommendation, solution evaluation, and knowledge evolvement, is further introduced to support the decision-making and optimization along the extended or circular lifecycle. An illustrative example is depicted in the sustainable development of a smart 3D printer, which validates the feasibility and advantages of the proposed framework. As an explorative study, it is hoped that this work provides useful insights for Smart PSS development with sustainability concerns in a cyber-physical environment. National Research Foundation (NRF) The authors wish to acknowledge the financial support from the National Research Foundation (NRF) Singapore and Delta Electronics International (Singapore) Pte Ltd., under the Corporate Laboratory@ University Scheme (Ref. RCA-16/434; SCO-RP1) at Nanyang Technological University, Singapore. This research work was partially supported by the grants from the Research Committee of The Hong Kong Polytechnic University under Start-up Fund for New Recruits (1-BE2X) and Departmental General Research Fund (U-GAHH). 2022-08-17T06:18:08Z 2022-08-17T06:18:08Z 2021 Journal Article Li, X., Wang, Z., Chen, C. & Zheng, P. (2021). A data-driven reversible framework for achieving sustainable smart product-service systems. Journal of Cleaner Production, 279, 123618-. https://dx.doi.org/10.1016/j.jclepro.2020.123618 0959-6526 https://hdl.handle.net/10356/161172 10.1016/j.jclepro.2020.123618 2-s2.0-85089748071 279 123618 en RCA-16/434 SCO-RP1 Journal of Cleaner Production © 2020 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Engineering::Mechanical engineering Smart Product-Service System Sustainability Li, Xinyu Wang, Zuoxu Chen, Chun-Hsien Zheng, Pai A data-driven reversible framework for achieving sustainable smart product-service systems |
| title | A data-driven reversible framework for achieving sustainable smart product-service systems |
| title_full | A data-driven reversible framework for achieving sustainable smart product-service systems |
| title_fullStr | A data-driven reversible framework for achieving sustainable smart product-service systems |
| title_full_unstemmed | A data-driven reversible framework for achieving sustainable smart product-service systems |
| title_short | A data-driven reversible framework for achieving sustainable smart product-service systems |
| title_sort | data driven reversible framework for achieving sustainable smart product service systems |
| topic | Engineering::Electrical and electronic engineering Engineering::Mechanical engineering Smart Product-Service System Sustainability |
| url | https://hdl.handle.net/10356/161172 |
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