Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method
| Autor: | Yongming Han, Hongda Li, Zhiqiang Geng, Shiying Cui, Chong Chu, Bo Ma |
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| Rok vydání: | 2020 |
| Předmět: |
Risk level
Warning system Computer science business.industry 010401 analytical chemistry Analytic hierarchy process 04 agricultural and veterinary sciences Food safety 040401 food science 01 natural sciences 0104 chemical sciences Risk matrix 0404 agricultural biotechnology Risk analysis (engineering) Entropy (information theory) business Risk management Analysis method Food Science Biotechnology |
| Zdroj: | Food Control. 108:106824 |
| ISSN: | 0956-7135 |
| DOI: | 10.1016/j.foodcont.2019.106824 |
| Popis: | Food safety risks has received great attention in all world. And the reasonable effectiveness of security warnings can reduce public panic and risk losses. Therefore, this paper proposes an improved risk early warning method for food safety detection data based on the analytic hierarchy process (AHP) integrating the quality control analysis method. The AHP based on the entropy weight can obtain risk values for food safety component data. And the risk matrix of the risk component is obtained by the risk probabilities of the components. Then the corresponding risk levels are calculated using the quality control analysis method to release the risk warning information. Finally, a case study of dairy product safety data from the GuiZhou province in China is conducted to verify the feasibility and reliability of the proposed method. Moreover, the proposed method can scientifically and reasonably determine the risk level information. Furthermore, the risk management is provided to effectively reduce risk losses of the country though relevant quality inspection departments. |
| Databáze: | OpenAIRE |
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