Ontologies for flexible production systems

This paper presents a design of ontology aimed at the optimization of production ramp-up of higly complex and customized products, developed within the European project ARUM. The ARUM solution consists of a large number of software components including schedulers, planners, legacy data transformation services and end-user client interfaces, which are integrated via the Enterprice Service Bus. The semantic interoperability is achieved by providing the common knowledge-based model defined as OWL ontology, which describes processes workflows and events in discrete production environment. The paper presents three main blocks of the ARUM ontology model and shows its usage by selected software componentstaking part in the production scheduling task.

[1]  Valeriy Vyatkin,et al.  Ontology-based reconfiguration agent for intelligent mechatronic systems in flexible manufacturing , 2010 .

[2]  L. Cabral,et al.  Using WS-BPEL for Automation of Semantic Web Service Tools Evaluation , 2012 .

[3]  Wolfgang Marquardt,et al.  OntoCAPE - A (re)usable ontology for computer-aided process engineering , 2009, Comput. Chem. Eng..

[4]  A. Zoitl,et al.  Ontology-based resource allocation in distributed systems using director facilitator agents , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[5]  Stefano Borgo,et al.  Foundations for a Core Ontology of Manufacturing , 2007, Ontologies.

[6]  Marek Obitko,et al.  Semantic Extension of Agent-Based Control: The Packing Cell Case Study , 2009, HoloMAS.

[7]  Edrisi Muñoz,et al.  Towards an ontological infrastructure for chemical batch process management , 2010, Comput. Chem. Eng..

[8]  Knut Hinkelmann,et al.  Connecting enterprise architecture and information objects using an enterprise ontology , 2013, Proceedings of the First International Conference on Enterprise Systems: ES 2013.

[9]  George Rzevski,et al.  Adaptive Planning for Supply Chain Networks , 2007, HoloMAS.

[10]  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).

[11]  Nicola Guarino,et al.  Sweetening Ontologies with DOLCE , 2002, EKAW.

[12]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .

[13]  Adam Souzis,et al.  Semantic Annotations For Wsdl And Xml Schema , 2015 .

[14]  Gintaras V. Reklaitis,et al.  Ontological informatics infrastructure for pharmaceutical product development and manufacturing , 2006, Comput. Chem. Eng..

[15]  Theodora A. Varvarigou,et al.  Secure Enterprise Interoperability Ontology for Semantic Integration of Business to Business Applications , 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

[16]  Wilfried Lepuschitz,et al.  Phase Agents and Dynamic Routing for Batch Process Automation , 2013, HoloMAS.

[17]  José Barata,et al.  A Multiagent Control System for Shop Floor Assembly , 2007, HoloMAS.

[18]  Sebti Foufou,et al.  An Ontology Architecture for Standards Integration and Conformance in Manufacturing , 2007 .

[19]  Yuji Naka,et al.  An upper ontology based on ISO 15926 , 2007, Comput. Chem. Eng..

[20]  Michele Missikoff,et al.  An Approach to the Definition of a Core Enterprise Ontology: CEO , 2001 .

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

[22]  Bernd Hellingrath,et al.  An Organizational Knowledge Ontology for Automotive Supply Chains , 2009, HoloMAS.

[23]  Paul Valckenaers,et al.  Holonic and Multi-Agent Systems for Manufacturing , 2003, Lecture Notes in Computer Science.