Towards a decision support framework for technologies used in cold supply chain traceability

Abstract In recent years, a need for product traceability in the cold supply chain has emerged. The purpose of this study was to identify and map out different kinds of identification technologies and techniques used for cold supply chain traceability. This was done by looking into what traceability solutions are available right now through literature review. The results from this review were then further analyzed to obtain a basis for the current state of knowledge, technical solutions and to identify possible traceability structures in the cold chain. A Decision Support Framework (DSF) was constructed for choosing a suitable technical solution. It consists of a table listing different functions and attributes of technologies and a decision-tree. The DSF created from this work will help the user to identify what kind of traceability technology and structure best suits his products. This is important, as it can often be difficult for the user to decide which technology is most beneficial for his company. That is why this decision support framework will enable him to decide what is technologically feasible, practical, economical, can sustain reputation, quality and safety of the products.