However, as things stand at the moment, the risk of damage is very likely owing to intensive food production, use of innovative solutions that may introduce risks of contamination and outsourcing to unreliable providers; these aspects make the need of preventing and mitigating these phenomena compelling. To this end, modeling and simulation (M&S) based approaches can provide a valuable support at all levels of the supply chain management to seek for countermeasures and find best practices. As a matter of facts, simulation allows facing the complexity inherent in logistic processes of food procurement, production, and distribution through a comprehensive approach where a
variety of factors such as traceability, transport/storage conditions, variability of demand, and recalling of products in case of contaminations can be taken into account simultaneously.
However, as things stand at the moment, the risk of damage is very likely owing to intensive food production, use of innovative solutions that may introduce risks of contamination and outsourcing to unreliable providers; these aspects make the need of preventing and mitigating these phenomena compelling. To this end, modeling and simulation (M&S) based approaches can provide a valuable support at all levels of the supply chain management to seek for countermeasures and find best practices. As a matter of facts, simulation allows facing the complexity inherent in logistic processes of food procurement, production, and distribution through a comprehensive approach where avariety of factors such as traceability, transport/storage conditions, variability of demand, and recalling of products in case of contaminations can be taken into account simultaneously.
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