Wei, S., Bai, Y. and Xu, L., 2020. Study on interoperation and its' implementation of MES to support virtual factory. In: The Third International Conference on Mechanical, Electric and Industrial Engineering, 23-25 May 2020, Kunming, China.
Full text available as:
|
PDF (OPEN ACCESS ARTICLE)
Wei_2020_J._Phys.__Conf._Ser._1633_012152.pdf - Published Version Available under License Creative Commons Attribution. 961kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1088/1742-6596/1633/1/012152
Abstract
© 2020 Published under licence by IOP Publishing Ltd. The data interoperation between VF (virtual factory) platform and MES (Manufacturing Execution System) plays an important role in intelligent factory construction. The study focuses on the integration strategy between the VF and the MES by incorporating VF manufacturing assets in two ways, i.e., vertical integration (used for production line performance evaluation) and the horizontal integration (cloud manufacturing based on manufacturing assets services discovery and their composition). The VF platform which integrates the manufacturing assets in two manners is designed as the bottom layer in the entire integration framework. It has been applied to build a four tiers integration model in an intelligent production system construction of a domestic ship manufacturer and verified its feasibility and availability.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
ISSN: | 1742-6588 |
Group: | Faculty of Science & Technology |
ID Code: | 34763 |
Deposited By: | Symplectic RT2 |
Deposited On: | 02 Nov 2020 13:03 |
Last Modified: | 14 Mar 2022 14:24 |
Downloads
Downloads per month over past year
Repository Staff Only - |