Semantic-driven manufacturing process management automation

Authors:
Francisco Maciá-Pérez;Virgilio Gilart-Iglesias;Antonio Ferrandiz-Colmeiro;José Vicente Berná-Martínez;Jorge Gea-Martínez
Affiliations:
Computer Science and Technology Department, University of Alicante;Computer Science and Technology Department, University of Alicante;Computer Science and Technology Department, University of Alicante;Computer Science and Technology Department, University of Alicante;Computer Science and Technology Department, University of Alicante
Venue:
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Year:
2009

Citing 6
Cited 0

Automation, Production Systems, and Computer-Integrated Manufacturing

Automation, Production Systems, and Computer-Integrated Manufacturing
Business Process Management: The Third Wave

Business Process Management: The Third Wave
Web Based Service for Embedded Devices

Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
From BPEL4WS to OWL-S: Integrating E-Business Process Descriptions

SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
MASON: A Proposal For An Ontology Of Manufacturing Domain

DIS '06 Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications
Semantic Business Process Management: Scaling Up the Management of Business Processes

ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The maturity of IT, in conjunction with certain modern theories about Business Processes Management (BPM), has propitiated an appropriate scenario for meeting the needs of new business models, which are increasingly centred on mass customization. Integration solutions provided within the framework of manufacturing organisations have opened up a wide range of possibilities in process management, which, paradoxically, is causing the traditional bottleneck between the enterprise level and production levels to now be transferred to the process management and modelling levels. This paper proposes the incorporation of knowledge into the definition of the processes and services involved by means of an ontology, thus maximising the automation of process modelling and facilitating the work of process engineers.