Title: Digital traceability system for road crude oil transport: the Tunisian case

Authors: Mohamed Haykal Ammar; Ezzedine Ben Aissa; Habib Chabchoub

Addresses: Laboratoire OLID, LR19ES21, Institut Supérieur de Gestion Industrielle de Sfax, Université de Sfax, P.O. Box 166, Cité Bourguiba 3094 Sfax, Tunisia ' Institut Supérieur de Gestion Industrielle de Sfax, Université de Sfax, BP 54 la poste Jbeniana 3080-Sfax-Tunisie ' College of Business, Al Ain University, P.O. Box 112612 Abu Dhabi, UAE

Abstract: Traceability systems have been the major focus of various works in the literature. The diversity of the studies is explained by the need to propose systems which adapt to the various sectors' constraints, the objectives and the recommendations of the stakeholders. They are also related to the nature and the products 'value or concerned with the services and especially the various activities performed by the various partners and the information to be exchanged among the stakeholders. It is worth noting that the stakeholders insist that this traceability system have two main roles: the alerts' generation to avoid the risks of incidents and the determination of responsibility in the case of an incident. In this work, we proposed the modelling of the different activities related to the crude oil transportation using the UML language aiming at the proposal system. We also introduced and described in detail the proposed prototype.

Keywords: traceability; modelling; crude oil; road transport.

DOI: 10.1504/IJIDS.2025.144262

International Journal of Information and Decision Sciences, 2025 Vol.17 No.1, pp.76 - 109

Accepted: 27 Oct 2022
Published online: 04 Feb 2025 *