An ontology supported risk assessment approach for the intelligent configuration of supply networks

Abstract

As progress towards globalisation continues, organisations seek ever better ways with which to configure and reconfigure their global production networks so as to better understand and be able to deal with risk. Such networks are complex arrangements of different organisations from potentially diverse and divergent domains and geographical locations. Moreover, greater focus is being put upon global production network systems and how these can be better coordinated, controlled and assessed for risk, so that they are flexible and competitive advantage can be gained from them within the market place. This paper puts forward a reference ontology to support risk assessment for product-service systems applied to the domain of global production networks. The aim behind this is to help accelerate the development of information systems by way of developing a common foundation to improve interoperability and the seamless exchange of information between systems and organisations. A formal common logic based approach has been used to develop the reference ontology, utilising end user information and knowledge from three separate industrial domains. Results are presented which illustrate the ability of the approach, together with areas for further work.

An Ontology-Based Framework for Integrating Remote Sensing Imagery, Image Products, and In Situ Observations

“…The seven-step methodology proposed by Noy and McGuinness of Stanford University [37] was applied in this study. The seven-step methodology has been widely used [38][39][40][41][42][43] and is closely integrated with the ontology construction software Protégé [34]. Therefore, it was also used in modeling the RSISO ontology.…”

Interoperability assessment: A systematic literature review

“…The authors conclude that relational databases require specialisation and integration procedures, and they are one-oriented-purpose, and ontologies provide a restriction-free framework to represent a machine-readable reality. Some examples of ontology-based approaches are the approach to assessing records management systems [104], the ontology-based system for supporting manufacturing sustainability [132] and the ontology-based approach for supporting risk assessment for the intelligent configuration of supply networks [133].…”

Towards a Semi-automated Tool for Interoperability Assessment: An Ontology-Based Approach

“…However, ontology-based approaches developed for other fields may be reusable for investigating the advantages and disadvantages of such approach. For instance, the Ontology-based framework proposed by [24] which tackles the problem of automatic risk assessment in unpredictable road traffic environments, the ontology-based approach to support the risk assessment for the intelligent configuration of supply networks [25] and the ontology-based approach for assessing records management systems [12].…”