A traceability system rigorously collects all the information related to a specific product along the supply chain. This information will be essential to face a food safety crisis and manage the consequently product recall action. Although a recall could be absolutely critical for a company – both for the costs and the media impact-, at present, most companies do not have reliable methods to precisely estimate the amount of product that would be discarded in the case of a recall. The skill to hold this quantity down can be assumed as a measure of the performance and of the efficiency of the traceability system adopted by the company. This paper introduces novel criteria and methodologies for measuring and optimizing the performance of a traceability system. As opposed to previous introduced methods, which optimize indirect measures, the proposed approach takes in direct account the total (or the worst-case) quantity of product that should be recalled in the case of a crisis. Some numerical examples concerning the mixing of batches in a sausage production process are reported to show the effectiveness of the proposed approach.

A mixed integer linear programming approach for the optimization of food traceability logistics

GAY, Paolo;
2010

Abstract

A traceability system rigorously collects all the information related to a specific product along the supply chain. This information will be essential to face a food safety crisis and manage the consequently product recall action. Although a recall could be absolutely critical for a company – both for the costs and the media impact-, at present, most companies do not have reliable methods to precisely estimate the amount of product that would be discarded in the case of a recall. The skill to hold this quantity down can be assumed as a measure of the performance and of the efficiency of the traceability system adopted by the company. This paper introduces novel criteria and methodologies for measuring and optimizing the performance of a traceability system. As opposed to previous introduced methods, which optimize indirect measures, the proposed approach takes in direct account the total (or the worst-case) quantity of product that should be recalled in the case of a crisis. Some numerical examples concerning the mixing of batches in a sausage production process are reported to show the effectiveness of the proposed approach.
AgEng2010 - International Conference on Agriculture Engineering
Clermont Ferrand
6-8 September 2010
AgEng 2010 - Towards Environmental Technologies
Conference AgEng2010, Cemagref
-
on CD
Paper REF068
http://ageng2010.com/
Traceability; supply chain optimization
P. Gay; F. Dabbene
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/82491
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