Multi-source heterogeneous time series information evaluation method for cloud manufacturing service providers
Cloud manufacturing is a new advanced manufacturing model based on network collaboration and data in-telligence,which is efficient and low-carbon.The evaluation and selection of cloud manufacturing service providers are important prerequisites for realizing cloud manufacturing.Due to the characteristics of multi-period and timeli-ness,diversity of data sources,and heterogeneity of data in cloud manufacturing operation data,existing decision models often focus on single-period static data and numerical data,lacking methods for handling multi-source heter-ogeneous time-series data.On this basis,a VIKOR evaluation method based on multi-source heterogeneous time-se-ries information was proposed for the evaluation and selection of cloud manufacturing service providers,which aimed to improve the collaborative efficiency of distributed manufacturing resources.Case studies showed that the proposed method was feasible and effective,and could provide decision references for collaborative manufacturing of multiple subjects in cloud manufacturing.
cloud manufacturing service providersoperation datamulti-source heterogeneous time series informa-tionVIKOR method
万方数据
维普
