An ontology-based semantic foundation for flexible manufacturing systems

The aim of this manuscript is to present an ontology-based knowledge representation for flexible manufacturing systems (FMS), providing a comprehensive semantic foundation of the facility. Domain ontology model is addressed that captures and formally represents the manufacturing semantics from heterogeneous data sources allowing knowledge sharing, re-use and update. Reported semantic foundation enables the plant operations to become knowledge intensive, distributed and collaborative in nature. It enables knowledge management among various design tools and knowledge exchange in an adaptive operation environment through decision support applications. A framework for such a knowledge-based optimization support system is also proposed. A practical FMS use case is considered as an illustrative example in this work.

[1]  José L. Martínez Lastra,et al.  A Semantic Web Services-based approach for production systems control , 2010, Adv. Eng. Informatics.

[2]  Charles R. McLean,et al.  Shop Data Model and Interface Specification , 2005 .

[3]  Minna Lanz.  Logical and Semantic Foundations of Knowledge Representation for Assembly and Manufacturing Processes , 2010 .

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

[5]  George Rzevski,et al.  MagentaToolkit: A Set of Multi-agent Tools for Developing Adaptive Real-Time Applications , 2007, HoloMAS.

[6]  Hugo Filipe Silveira Gamboa.  Biomedical Engineering Systems and Technologies, 4th International Joint Conference, BIOSTEC 2011, Rome, Italy, January 26-29, 2011, Revised Selected Papers Series: Communications in , 2013 .

[7]  Timothy W. Simpson,et al.  A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language , 2006, J. Comput. Inf. Sci. Eng..

[8]  Lanfen Lin,et al.  Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment , 2011 .

[9]  Marek Obitko,et al.  Semantics in Industrial Distributed Systems , 2008 .

[10]  José L. Martínez Lastra,et al.  Using semantic web technologies to describe automation objects , 2006, Int. J. Manuf. Res..

[11]  Arturo Molina,et al.  A manufacturing model representation of a flexible manufacturing facility , 1999 .

[12]  S. Scholze,et al.  Service oriented computing to Self-Learning production system , 2011, 2011 9th IEEE International Conference on Industrial Informatics.

[13]  Olfa Mosbahi,et al.  Design of a Maximally Permissive Liveness- Enforcing Petri Net Supervisor for Flexible Manufacturing Systems , 2011, IEEE Transactions on Automation Science and Engineering.

[14]  Valeriy Vyatkin,et al.  OOONEIDA: an open, object-oriented knowledge economy for intelligent industrial automation , 2005, IEEE Transactions on Industrial Informatics.

[15]  Ken M. Wallace,et al.  A Methodology for Creating Ontologies for Engineering Design , 2007, J. Comput. Inf. Sci. Eng..

[16]  A. Siadat,et al.  MASON: A Proposal For An Ontology Of Manufacturing Domain , 2006, IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06).

[17]  Janis Terpenny,et al.  Development and Utilization of Ontologies in Design for Manufacturing , 2010 .