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.
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References
Bhagdev, R., Chakravarthy, A., Chapman, S., Ciravegna, F., Lanfranchi, V.: Creating and using organisational semantic webs in large networked organisations. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 723–736. Springer, Heidelberg (2008)
Martin, P., D’Acunto, A.: Design of a production system: an application of integration product-process. Int. J. Comput. Integr. Manufact. 16(7–8), 509–516 (2003)
Tranfield, D., Denyer, D., Smart, P.: Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 14(3), 207–222 (2003)
Liu, S., Brewster, C., Shaw, D.: Ontologies for crisis management: a review of state of the art in ontology design and usability. In: Proceedings of the 10th International ISCRAM Conference – Baden-Baden, Germany, pp. 349–359 (2013)
Ameri, F., Dutta, D.: An upper ontology for manufacturing service description. In: Proceedings of the ASME 2006 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Philadelphia, USA, pp. 651–661. ASME (2006)
Vegetti, M., Henning, G.P., Leone, H.P.: Product ontology: definition of an ontology for the complex product modelling domain. In: Proceedings of the Mercosur Congress on Process Systems Engineering, Argentina (2005)
Panetto, H., Dassisti, M., Tursi, A.: ONTO-PDM: product-driven ONTOlogy for product data management interoperability within manufacturing process environment. J. Adv. Eng. Inform. 26(2), 334–348 (2012)
Patil, L., Dutta, D., Sriram, R.: Ontology-based exchange of product data semantics. IEEE Trans. Autom. Sci. Eng. 2(3), 213–225 (2005)
Schlenoff, C., Gruninger, M., Tissot, F., Valois, J., Lubell, J., Lee, J.: The process specification language (PSL): Overview and version 1.0 specification (2000)
Lu, Y., Panetto, H., Ni, Y., Gu, X.: Ontology alignment for networked enterprise information system interoperability in supply chain environment. Int. J. Comput. Integr. Manufact. 26(1–2), 140–151 (2013)
Borsato, M., Estorilio, C., Cziulik, C., Ugaya, C., Rozenfeld, H.: An ontology building approach for knowledge sharing in product lifecycle management. Int. J. Bus. Syst. Res. 4(3), 278 (2010)
Kim, W., Choi, D., Park, S.: Agent based intelligent search framework for product information using ontology mapping. J. Intell. Inf. Syst. 30(3), 227–247 (2007)
Lemaignan, S., Siadat, A., Dantan, J.Y., Semenenko, A.: MASON: a proposal for an ontology of manufacturing domain. In: Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS 2006), Prague, Czech Republic, pp. 195–200. IEEE (2006)
Matsokis, A., Kiritsis, D.: An ontology-based approach for Product Lifecycle Management. J. Comput. Ind. 61(8), 787–797 (2010)
Cho, J., Han, S., Kim, H.: Meta-ontology for automated information integration of parts libraries. J. Comput. Aided Des. 38(7), 713–725 (2006)
Lin, H., Harding, J.: A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration. J. Comput. Ind. 58(5), 428–437 (2007)
Margaris, A.: First Order Mathematical Logic. Dover, New York (1990)
Usman, Z., Young, R., Chungoora, N., Palmer, C., Case, K., Harding, J.: Towards a formal manufacturing reference ontology. Int. J. Prod. Res. 51(22), 6553–6572 (2013)
Borgo, S., Leitão, L.: Foundations for a core ontology of manufacturing ontologies, pp. 751–775. Springer US, New York (2007)
Usman, Z., Young, R.I.M., Chungoora, N., Palmer, C., Case, K., Harding, J.: A manufacturing core concepts ontology for product lifecycle interoperability. In: van Sinderen, M., Johnson, P. (eds.) IWEI 2011. LNBIP, vol. 76, pp. 5–18. Springer, Heidelberg (2011)
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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Cao, Q., Zanni-Merk, C., Reich, C. (2019). Ontologies for Manufacturing Process Modeling: A Survey. In: Dao, D., Howlett, R., Setchi, R., Vlacic, L. (eds) Sustainable Design and Manufacturing 2018. KES-SDM 2018. Smart Innovation, Systems and Technologies, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-030-04290-5_7
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DOI: https://doi.org/10.1007/978-3-030-04290-5_7
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