A fuzzy enabled model for aggregative food safety risk assessment in food supply chains

The food industry is under pressure to improve food product safety, implement efficient risk management and manage quality ´from farm to fork´. In this paper, a new risk assessment approach is proposed to perform structured analysis of aggregative food safety risk in the food supply chain by using the concepts of fuzzy set theory and analytical hierarchy process. It can function as a part of practical food safety management tool and help managers to understand how the risk changes and transfers in a supply chain. The methodology is tested in a British medium-sized cooked meat producer.