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Intelligent Manufacturing Core Enterprise-dominated Collaborative Dataspace Framework for New Energy Vehicle

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

With the development of new generation intelligent manufacturing and network technologies, the green manufacturing industry, represented by New Energy Vehicle (EV), is transforming to large-scale collaborative network production under regional industrial zone. It promotes the core manufacturing enterprises and related upstream and downstream enterprises to manage the massive, heterogeneous and scattered collaboration data for the whole life-cycle processes, namely design, manufacturing, services and sales, and thus to provide the collaborative services. However, the traditional data management manners are fixed, single and private, and mainly depend on data models and lack on-demand integration, which is unable to cope with the increasing demands for big data management and collaboration relations. Therefore, this paper focuses on EV domain, and studies on the new generation core enterprise-dominated collaborative dataspace management framework. Firstly, the data management requirements for the whole life cycle business collaboration of EV enterprises zone are given. Then, according to the requirements, the collaboration framework is developed, which includes resource layer, space layer, service layer and subject layer. Finally, the collaborative design case is applied to verify the feasibility and practicability of dataspace framework, which provides theoretical and application references for the data integration and management, and thus to urge the core enterprise-dominated whole life cycle business collaboration.

Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-151
Number of pages7
ISBN (Electronic)9781665454704
DOIs
StatePublished - 2022
Event2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022 - Zakopane, Poland
Duration: 15 Aug 202216 Aug 2022

Publication series

NameProceedings - 2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022

Conference

Conference2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022
Country/TerritoryPoland
CityZakopane
Period15/08/2216/08/22

Keywords

  • business collaboration
  • core enterprise
  • dataspace framework
  • life cycle
  • new energy vehicle (EV)

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