Ontology-based Operational Risk Identification in 3PL

Abstract

Supply chain risk management is an important activity in current supply chain management, and operational risk is one of the most important risks in supply chains. The risk identification process is one of the most important activities in supply chain risk management system. The participation of Third Party Logistics providers (3PL) in supply chains has been increasing, and it is important to consider how their presence affects risk management. On the other hand, ontologies define a common vocabulary to share information in a domain. Considering all these aspects, we propose an ontology approach to operational risk identification in supply chain that involves third party logistics providers. The ontology-based approach is oriented to improve communications about risks through the whole supply chain, achieving better results in risks management activities. The approach is validated in ground transportation activities.

Supply chain risk identification: a real-time data-mining approach

“…The extraction of all possible information for obtaining more accurate results can be achieved by a domain ontology, a sub-field of text-mining. Towards this direction, Osorio et al (2018) developed an ontology-based technique for identifying the operational risks in third-party logistics providers. According to the study by Chae (2015), a Twitter analytics framework helped to analyze the polarity of tweets using sentiment analysis from SC experts related to the organization's sales performance and disruption.…”

“…The extraction of all possible information for obtaining more accurate results can be achieved by a domain ontology, a sub-field of text-mining. Towards this direction, Osorio et al. (2018) developed an ontology-based technique for identifying the operational risks in third-party logistics providers.…”