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Ontologies for Manufacturing Process Modeling: A Survey

  • Qiushi CaoEmail author
  • Cecilia Zanni-Merk
  • Christoph Reich
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 130)

Abstract

Within the product life cycle, manufacturing processes are steps through which raw materials are assembled and transformed into final products. When different applications share information concerning manufacturing processes, the lack of information interoperability is a challenging issue that emerges during the manufacturing process implementation phase. The interoperability issue has brought resistance to manufacturing systems for pursuing desired flexibility. To solve this problem, semantic technologies, especially ontologies have shown promising results. This survey paper examines the existing ontologies that are developed to cope with manufacturing process modeling. By categorizing these ontologies into three dimensions, we aim to specify how ontologies help to enhance the information interoperability among different manufacturing systems, applications and stakeholders. The results of this paper could be used as a suitable reference for developing new ontologies which aim at improving decision support in sustainable manufacturing.

Keywords

Ontology Semantic technology Information interoperability Product Life Cycle Management Manufacturing process modeling 

Notes

Acknowledgements

This work has received funding from INTERREG Upper Rhine (European Regional Development Fund) and the Ministries for Research of Baden-Württemberg, Rheinland-Pfalz (Germany) and from the Grand Est French Region in the framework of the Science Offensive Upper Rhine HALFBACK project.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Normandie Université, INSA Rouen, LITISSaint-Étienne-du-RouvrayFrance
  2. 2.Hochschule Furtwangen UniversityFurtwangen im SchwarzwaldGermany

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