Ontology for manufacturing resources in a cloud environment

Cloud manufacturing is a model for enabling on-demand network access to a shared pool of reconfigurable manufacturing resources that can be rapidly encapsulated, provisioned and released as manufacturing services. Enterprises involved in cloud manufacturing networks share their heterogeneous business models, manufacturing resources and knowledge to provide high quality consumable manufacturing services. Therefore, there is a need to develop a resource description protocol and service description language to cover all the aspects of cloud-based business collaborations in manufacturing industry. This information model needs to be inclusive of representation of all phases of a product’s lifecycle, service model description, and other essential information contributed to e-businesses. This paper presents an ontology-based approach to enable sematic interoperability throughout the whole process of service provision in the clouds. The detailed requirements for enabling cloud-based data exchange are discussed. A generic ontology development process is then proposed with special focus on reusing existing international and/or industrial standards. Specifically highlighted is a systematic guidance on developing ontologies. The utilisation of the proposed ontology in resource virtualisation and resource retrieval in cloud manufacturing environments is also elaborated.

[1]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[2]  Anne-Françoise Cutting-Decelle,et al.  Organising Manufacturing Information for Engineering Interoperability , 2007, IESA.

[3]  Sebti Foufou,et al.  OntoSTEP: Enriching product model data using ontologies , 2012, Comput. Aided Des..

[4]  Kyoung-Yun Kim,et al.  Ontology-based assembly design and information sharing for collaborative product development , 2006, Comput. Aided Des..

[5]  Anne-Françoise Cutting-Decelle,et al.  Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies , 2007 .

[6]  Yang Chen Clouds capability service of production and processing in cloud manufacturing , 2012 .

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

[8]  Sotiris Makris,et al.  On the information modeling for the electronic operation of supply chains: A maritime case study , 2008 .

[9]  Xun Xu,et al.  An interoperable solution for Cloud manufacturing , 2013 .

[10]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[11]  Jenny A. Harding,et al.  A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration , 2007, Comput. Ind..

[12]  Lu Gao,et al.  Modeling of Resources Capability for Manufacturing Equipments in Cloud Manufacturing , 2012 .

[13]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[14]  Soonhung Han,et al.  OpenPDM-based product data exchange among heterogeneous PDM systems in a distributed environment , 2009 .

[15]  H.-K. Lin,et al.  Manufacturing system engineering ontology for semantic interoperability across extended project teams , 2004 .

[16]  Mahmoud Houshmand,et al.  A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm , 2013 .

[17]  Jeongsoo Lee,et al.  Design of product ontology architecture for collaborative enterprises , 2009, Expert Syst. Appl..

[18]  Diana M. Wegner,et al.  Validation of an Ontology-based Approach for Enhancing Human Simulation in General Assembly Environments , 2010 .

[19]  R.I.M. Young,et al.  Towards the ontology-based consolidation of production-centric standards , 2013 .

[20]  Xun Xu,et al.  A New Paradigm Shift for Manufacturing Businesses , 2013 .

[21]  Jenny A. Harding,et al.  A Manufacturing Foundation Ontology for Product Life Cycle Interoperability , 2010, I-ESA.

[22]  Wang Wan-liang Model of resource package,publication and discovery based on RVCS in cloud manufacturing , 2012 .