Developing taxonomy and model for security centric supply chain management

Security management of modern supply systems raise challenges to various aspects of supply chain management (SCM) researches, demanding an integrated and holistic solution framework. In this article we concentrate on two fundamental instruments to support the pursuit of a security centric supply chain management (SecSCM) mission. Firstly the security taxonomy within the SCM context provides a comprehensive knowledge map of relevant artifacts and issues for players to communicate and collaborate in this special field. Ultimately it supplies building blocks for qualitative modeling required by security management. Secondly security management in SCM seeks practical computation and analysis capabilities, thus requiring a migration from qualitative models to quantitative models. We utilize dependency modeling as the bridging facility and probabilistic modeling as the inference engine in our solution to deal with complexity and uncertainty dominant in SecSCM. In addition we explore the proposition within essential application of healthcare supply chain security management. Noticing the enormous challenge presented by the new research mission, we emphasize identifying and examining generic issues and potential solutions, rather than particular problems or algorithms with limited usage and significance.