On the data interoperability issues in SCOR-based supply chains

Abstract

Supply Chain Operations Reference (SCOR) is a reference model which can be used to design and implement inter-organizational processes of a supply chain. Its implementation assumes a high level of integration between the supply chain partners which reduces their flexibility. The problem of integration requirements may be addressed by enabling the supply chain partners to use their enterprise information systems (instead of specialized software tools) in the implementation and facilitation of SCOR processes. The performance of these processes can be significantly improved if the enterprise information systems of the supply chain actors are interoperable. In this paper, we are using semantic SCOR models to highlight data interoperability requirements for cross-enterprise SCOR processes and to make this data explicit, by relating it to the corresponding domain ontology concepts. © 2012 Springer-Verlag.