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

Niu, Xiaojing and Qin, Sheng-feng (2021) Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation. Advanced Engineering Informatics, 50. p. 101422. ISSN 1474-0346

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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.

Item Type: Article
Additional Information: 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.
Uncontrolled Keywords: Digital twin, digital thread, Internet of Beings (IoB), service crowdsourcing, smart product-service ecosystem, system intelligence
Subjects: H700 Production and Manufacturing Engineering
W200 Design studies
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: John Coen
Date Deposited: 16 Sep 2021 12:45
Last Modified: 17 Sep 2022 08:01

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