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.

中文翻译：

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面向冷供应链可追溯性技术的决策支持框架

摘要 近年来，出现了对冷供应链中产品可追溯性的需求。本研究的目的是识别和绘制用于冷供应链可追溯性的不同类型的识别技术和技术。这是通过文献综述研究目前可用的可追溯性解决方案来完成的。然后进一步分析该审查的结果，以获得当前知识状态和技术解决方案的基础，并确定冷链中可能的可追溯性结构。构建决策支持框架 (DSF) 以选择合适的技术解决方案。它由一个列出技术的不同功能和属性的表格和一个决策树组成。根据这项工作创建的 DSF 将帮助用户确定哪种追溯技术和结构最适合他的产品。这很重要，因为用户通常很难决定哪种技术对他的公司最有利。这就是为什么这个决策支持框架将使他能够决定什么是技术上可行的、实用的、经济的、可以维持产品的声誉、质量和安全的。