A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data

Abstract

The data of food quality tracing information have a few features, such as wide coverage range, many circulation links, complex data sources, low authenticity, and difficult information sharing. The continuous development of big data technology provides infinite possibilities for the construction of food quality source tracing systems. Currently, there are many studies on the application of food quality source tracing systems; however, most of them are in the field of food quality databases, and few have concerned about its application in the field of big data. Therefore, to fill in this research gap, this paper aimed to study a dynamic source tracing method for food supply chain quality and safety based on big data. At first, this paper summarized the variables of food supply chain quality and safety, constructed a Petri net model and a Bayesian network model for food quality prediction and source tracing, and realized the prediction of food quality features. Then, this paper applied two data analysis and processing methods—the density-based clustering algorithm and the cosine similarity algorithm—to preliminarily process the collected quality tracing information of each link in the food supply chain and analyzed the influencing factors of food quality. Finally, experimental results proved the effectiveness of the constructed model. Relying on the real-timeliness and authenticity of big data, this paper guarantees the credibility of the traceable information in the tracking process and improves the accuracy through real-time stream processing of the updated data, providing unlimited possibilities for the comprehensive tracking of food sources.

Performance of cold chain logistics service providers in the fast-moving consumer goods industry in Nigeria: a systematic review

“…Quality service is a critical component of cold chain logistics services, as it directly impacts the integrity and safety of temperature-sensitive products throughout the cold chain and customer satisfaction [101], [119]. The attraction for cold chain logistics services is dependent on quality of service delivery through cold chain technology innovation [20].…”

“…Implementing track-and-trace technologies provides real-time visibility into the movement and conditions of perishable FMCG products throughout the cold chain. Studies by [122], [30], and [101] investigated the use of track-and-trace technologies, such as internet of things (IoT) technologies, cloud computing, block chain, Radio Frequency Identification (RFID) and barcode systems, 5G technologies in cold chain logistics. The research highlighted the benefits of these technologies in capturing data on product location, temperature, and handling events, enabling real-time monitoring and traceability.…”