Abstract

Due to food safety issues, traceability is becoming a method of controlling food safety and connecting suppliers and consumers. The aim of this study is to build up a food logistics supply chain traceability system which can control food safety and connect suppliers and consumers. This paper discusses the establishment of traceability system based on the Structured Query Language (SQL) Server, uses the failure mode and effect analysis to assess key indicators of the system. The result shows, the largest Risk Priority Number (RPN) is the precision risk of information. Moreover, with fuzzy synthetic evaluation model and intensity weighted average method, this paper ranks the importance of the three factors of the food logistics supply chain traceability system and finds that the depth is the most important factor. Lastly, it uses a case of Green Pork Company to calculate economics effect to prove the feasibility of the system.

Keywords:

Food logistics supply chain, fuzzy synthetic evaluation model, intensity weighted average method, SQL, traceability system establishment,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.