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12.11.2019 | Focus

The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain

verfasst von: Antonio Violi, Demetrio Laganá, Rosario Paradiso

Erschienen in: Soft Computing | Ausgabe 18/2020

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Abstract

In this paper, we propose a dynamic and stochastic approach for an inventory routing problem in which products with a high perishability must be delivered from a supplier to a set of customers. This problem falls within the agri-food supply chain (\({\mathcal {ASC}}\)) management field, which includes all the activities from production to distribution. The need for high-quality products that are subject to perishability is a critical issue to consider in the \({\mathcal {ASC}}\) optimization. Moreover, the demand uncertainty makes the problem very challenging. In order to effectively manage all these features, a rolling horizon approach based on a multistage stochastic linear program is proposed. Computational experiments over medium-size instances designed on the basis of the real data provided by an agri-food company operating in Southern Italy show the effectiveness of the proposed approach.

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Titel: The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain
verfasst von: Antonio Violi
Demetrio Laganá
Rosario Paradiso
Publikationsdatum: 12.11.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 18/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-04497-z

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