A survey on supply chain ontologies

[EN] Nowadays, the business area cannot be sustainable and efficient without the presence of the Supply Chain. However, Supply Chain Management is by no means an easy task. Experts, in their effort to achieve the most efficient Supply Chain Management, have turned their attention to the management of knowledge related to supply chains. Thus, they model the concepts and the semantic relationships between them in Supply Chain Networks and create conceptual models and ontologies. In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. For this purpose, 22 ontological models from different supply systems, from over 90 sources, have been collected, briefly presented and commented on. These models, although being an intersection in the effort to model business operations and delineate a good basis for businesses to engage in Logistics processes, they lack an adequate formulation of appropriate semantics and terminology to describe all the different functions of the Supply Chain. Consequently, this lack inevitably leads to incompatible interpretations and uses of the knowledge that results from intercompany transactions. Samaridi, NE.; Karanikolas, NN.; Papoutsidakis, M.; Papakitsos, EC.; Papakitsos, CE. (2023). A survey on supply chain ontologies. International Journal of Production Management and Engineering. 11(1):89-101. https://doi.org/10.4995/ijpme.2023.18702 Achatbi, I., Amechnoue, K., & Aoulad Allouch, S. (2018). An Ontology Based Approach to Organize Supplier and Transportation Provider Selection Negotiation in Multi-agent System Model. In M. Ezziyyani, M. Bahaj & F. Khoukhi (eds.), Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Cham: Springer. https://doi.org/10.1007/978-3-319-69137-4_13 Anand, N., Yang, M., Van Duin, J. H. R., & Tavasszy, L. (2012). Genclon: An ontology for city logistics. Expert Syst. Appl., 39(15), 11944–11960. https://doi.org/10.1016/j.eswa.2012.03.068 Anand, N., Duin, J.H.R.V., & Tavasszy, L. (2016). Framework for Modelling Multi-stakeholder City Logistics Domain Using the Agent based Modelling Approach. Transportation Research Procedia, 16: 4-15. https://doi.org/10.1016/j.trpro.2016.11.002 Blaj, A., Lambert, A., Lambert, C., Mulder, H., & Sauv, D. (2020). ONE Record: One step closer to digita