Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation

Xiaojing Niu; Shengfeng Qin

doi:10.1016/j.aei.2021.101422

Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation

Xiaojing Niu, Shengfeng Qin^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

27 Downloads (Pure)

Abstract

In order to support advanced collaborations among smart products, services, users and service providers in a smart product and service ecosystem (S-PSS), this paper proposed a service-oriented hybrid digital twin (DT) and digital thread platform-based approach with embedded crowd-/service-sourcing mechanism for enabling advanced manufacturing services. This approach is well supported by the ecosystem interaction intelligence of digitally connected products, services, users, and service providers via Internet of Beings (IoB) (Things, Users and Service providers). First, driven by industrial application needs in heating industry, a conceptual model of the service-oriented hybrid platform integrated with crowdsourcing mechanism is developed, which supports the concepts of product DT, service DT and human user DT. Second, the key system realization techniques are developed to integrate service crowdsourcing and service recommendation for realizing smart services. Finally, a case study is carried out for evaluating and confirming its feasibility.

Original language	English
Article number	101422
Number of pages	14
Journal	Advanced Engineering Informatics
Volume	50
Early online date	17 Sept 2021
DOIs	https://doi.org/10.1016/j.aei.2021.101422
Publication status	Published - 1 Oct 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Digital thread
Digital twin
Internet of Beings (IoB)
Service crowdsourcing
Smart product-service ecosystem
System intelligence

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10.1016/j.aei.2021.101422

manuscript-R2-finalAccepted author manuscript, 1.02 MBLicence: CC BY-NC-ND

Cite this

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title = "Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation",

abstract = "In order to support advanced collaborations among smart products, services, users and service providers in a smart product and service ecosystem (S-PSS), this paper proposed a service-oriented hybrid digital twin (DT) and digital thread platform-based approach with embedded crowd-/service-sourcing mechanism for enabling advanced manufacturing services. This approach is well supported by the ecosystem interaction intelligence of digitally connected products, services, users, and service providers via Internet of Beings (IoB) (Things, Users and Service providers). First, driven by industrial application needs in heating industry, a conceptual model of the service-oriented hybrid platform integrated with crowdsourcing mechanism is developed, which supports the concepts of product DT, service DT and human user DT. Second, the key system realization techniques are developed to integrate service crowdsourcing and service recommendation for realizing smart services. Finally, a case study is carried out for evaluating and confirming its feasibility.",

keywords = "Digital thread, Digital twin, Internet of Beings (IoB), Service crowdsourcing, Smart product-service ecosystem, System intelligence",

author = "Xiaojing Niu and Shengfeng Qin",

note = "Funding information: This work was supported by the UK EPSRC DEAS project “A digital twin of the customer journey for future advanced services” (EP/R044937/1). It was also partly supported by Newton Prize 2019 Award: NP2PB\_100047. The authors would like to thank the project academic collaborators: Sara Mountney, Tracy Ross, Andrew May, Melanie King, Kawaljeet Kapoor, Vicky Story and Jamie Burton for project discussions and support to the platform evaluation. The authors also would like to acknowledge the support from the project industry partner.",

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doi = "10.1016/j.aei.2021.101422",

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AU - Qin, Shengfeng

N1 - Funding information: This work was supported by the UK EPSRC DEAS project “A digital twin of the customer journey for future advanced services” (EP/R044937/1). It was also partly supported by Newton Prize 2019 Award: NP2PB_100047. The authors would like to thank the project academic collaborators: Sara Mountney, Tracy Ross, Andrew May, Melanie King, Kawaljeet Kapoor, Vicky Story and Jamie Burton for project discussions and support to the platform evaluation. The authors also would like to acknowledge the support from the project industry partner.

PY - 2021/10/1

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N2 - In order to support advanced collaborations among smart products, services, users and service providers in a smart product and service ecosystem (S-PSS), this paper proposed a service-oriented hybrid digital twin (DT) and digital thread platform-based approach with embedded crowd-/service-sourcing mechanism for enabling advanced manufacturing services. This approach is well supported by the ecosystem interaction intelligence of digitally connected products, services, users, and service providers via Internet of Beings (IoB) (Things, Users and Service providers). First, driven by industrial application needs in heating industry, a conceptual model of the service-oriented hybrid platform integrated with crowdsourcing mechanism is developed, which supports the concepts of product DT, service DT and human user DT. Second, the key system realization techniques are developed to integrate service crowdsourcing and service recommendation for realizing smart services. Finally, a case study is carried out for evaluating and confirming its feasibility.

AB - In order to support advanced collaborations among smart products, services, users and service providers in a smart product and service ecosystem (S-PSS), this paper proposed a service-oriented hybrid digital twin (DT) and digital thread platform-based approach with embedded crowd-/service-sourcing mechanism for enabling advanced manufacturing services. This approach is well supported by the ecosystem interaction intelligence of digitally connected products, services, users, and service providers via Internet of Beings (IoB) (Things, Users and Service providers). First, driven by industrial application needs in heating industry, a conceptual model of the service-oriented hybrid platform integrated with crowdsourcing mechanism is developed, which supports the concepts of product DT, service DT and human user DT. Second, the key system realization techniques are developed to integrate service crowdsourcing and service recommendation for realizing smart services. Finally, a case study is carried out for evaluating and confirming its feasibility.

KW - Digital thread

KW - Digital twin

KW - Internet of Beings (IoB)

KW - Service crowdsourcing

KW - Smart product-service ecosystem

KW - System intelligence

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JO - Advanced Engineering Informatics

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ER -

Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation

Abstract

UN SDGs

Keywords

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