A metadata based manufacturing resource ontology modeling in cloud manufacturing systems

Smart manufacturing refers to integrating new generation information technologies and advanced manufacturing technologies to improve enterprise efficiency, increase customer satisfaction and enhance market competitiveness. Cloud manufacturing (CMfg) is a typical paradigm of smart manufacturing. With the rapid deployment and application of various CMfg systems, it is extremely urgent and significant to implement the standardized semantic description of manufacturing resources (MRs) characterized by geographical dispersion, high autonomy, and heterogeneity. In this paper, a metadata based manufacturing resource ontology modeling method is proposed to solve the consistency description problem of MRs in cloud. Firstly, the characteristic attributes of MRs in CMfg systems are analyzed, and a metadata-based manufacturing resource ontology-modeling framework is constructed. Then, a manufacturing resource domain ontology (MR_Onto) and a metadata model (MR_Meta) are designed, the mapping rules between them are discussed. Finally, a prototype tool describing manufacturing resources is developed, the feasibility and effectiveness of the proposed method and the developed tool are verified in an application case.

[1]  Fei Tao,et al.  New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[3]  Stephen Hailes,et al.  Security of smart manufacturing systems , 2018 .

[4]  Mimmo Parente,et al.  An ontology-driven context-aware recommender system for indoor shopping based on cellular automata , 2017, J. Ambient Intell. Humaniz. Comput..

[5]  Zaia Alimazighi,et al.  Toward integrating grid and cloud-based concepts for an enhanced deployment of spatial data warehouses in cyber-physical system applications , 2016, Journal of Ambient Intelligence and Humanized Computing.

[6]  Wen-Yau Liang,et al.  A cloud computing platform for ERP applications , 2015, Appl. Soft Comput..

[7]  Thomas Bauernhansl,et al.  Cloud-based Platform to Facilitate Access to Manufacturing IT☆ , 2014 .

[8]  Shehryar Khan,et al.  Continuous objects detection and tracking in wireless sensor networks , 2016, J. Ambient Intell. Humaniz. Comput..

[9]  Luo Yong-liang.  Analyses of cloud manufacturing and related advanced manufacturing models , 2011 .

[10]  Liu Xian-hui,et al.  Common key technology system of cloud manufacturing service platform for small and medium enterprises , 2011 .

[11]  Dazhong Wu,et al.  Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation , 2015, Comput. Aided Des..

[12]  Andrew Kusiak,et al.  Data-driven smart manufacturing , 2018, Journal of Manufacturing Systems.

[13]  Fei Tao,et al.  Cloud manufacturing: a computing and service-oriented manufacturing model , 2011 .

[14]  Lei Ren,et al.  Cloud manufacturing: a new manufacturing paradigm , 2014, Enterp. Inf. Syst..

[15]  Guo Hua,et al.  Key technologies for the construction of manufacturing cloud , 2010 .

[16]  Yin Chao,et al.  Outsourcing resources integration service mode and semantic description in cloud manufacturing environment , 2011 .

[17]  Borja Bordel,et al.  Self-configuration in humanized Cyber-Physical Systems , 2016, Journal of Ambient Intelligence and Humanized Computing.

[18]  Luo Yong-liang.  Resource virtualization in cloud manufacturing , 2011 .

[19]  Ali A. Nazari Shirehjini,et al.  Towards interacting with smarter systems , 2018, J. Ambient Intell. Humaniz. Comput..

[20]  Elena Gatti,et al.  „Made in China 2025“ , 2019, Digitales China.

[21]  Yin Sheng,et al.  Cloud manufacturing service platform for machine tool and processing operation , 2012 .

[22]  Andrzej M. Goscinski,et al.  Toward dynamic and attribute based publication, discovery and selection for cloud computing , 2010, Future Gener. Comput. Syst..

[23]  Xun Xu,et al.  From cloud computing to cloud manufacturing , 2012 .

[24]  Andrew Kusiak,et al.  Smart manufacturing must embrace big data , 2017, Nature.

[25]  Xu Wen-jun.  Perception and access adaptation of equipment resources in cloud manufacturing , 2012 .