TY - JOUR
T1 - Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation
AU - Niu, Xiaojing
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
Y1 - 2021/10/1
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
UR - http://www.scopus.com/inward/record.url?scp=85115137233&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2021.101422
DO - 10.1016/j.aei.2021.101422
M3 - Article
SN - 1474-0346
VL - 50
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 101422
ER -