The Official Control beyond the Official Control. How To Plan And Schedule Controls Starting From Risk Assessment Along The Agro-Food Supply Chain

Autor: M F, Panunzio, R, Caporizzi, D, Lagravinese, M, Conversano
Rok vydání: 2015
Předmět:
Zdroj: Annali di igiene : medicina preventiva e di comunita. 27(2)
ISSN: 1120-9135
Popis: Every year the Italian Ministry of Health, on the basis of regional data, draws up the "Report on Official Controls" to be submitted to the Parliament. The report contains abundant data, diagrams and charts and illustrates the number and type of official controls (OC) performed by the pertinent Bodies (Ministry of Health, Regional and Local Health Authorities) over the previous year on Food Business Operators (FBO), in accordance with the EC Regulation 882/2004. The trend - which has consolidated over the years - relates to the multiplicity of OC and shows a decrease of such controls compared to an increase in "non-conformities". OC frequency is established by the Regional Authorities on the basis of the categorisation of both a "generic risk" for companies calculated taking into account the probability of occurrence of a "non-conformity", and a "specific" risk, assessed on the basis of the results of the OC actually performed on a given "Operatore del Settore Alimentare" (Food Sector Operator, in Italian: OSA). Thus, categorisation (i.e. the probability of occurrence of non-conformities) is the main driver of the OC scheduling and planning process. We have been asking ourselves whether the current OC planning/scheduling method is still suitable for ensuring food safety in the face of internalisation of the food supply chain. As a matter of fact, food safety is now becoming increasingly variable due to the globalization of consumption where "farm to fork", rather than "border to fork", food safety must be ensured. On the basis of these considerations, a different OC planning /scheduling method is being proposed based on the assessment of risks and the estimation of the occurrence of the same along the agro-food chain.
Databáze: OpenAIRE