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 (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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 13725-13740 |
| Number of pages | 16 |
| Journal | Soft Computing |
| Volume | 24 |
| Issue number | 18 |
| Early online date | 12 Nov 2019 |
| DOIs | |
| Publication status | Published - Sept 2020 |
Funding
This work has been partially supported by Italian Minister of University and Research with the grant for research project PON 01 _ 00878 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$01\_00878$$\end{document} “DIRECT FOOD”.
| Funders | Funder number |
|---|---|
| Italian Minister of University and Research | PON 01 _ 00878 |
Keywords
- Agri-food inventory routing
- Risk measure
- Rolling horizon
- Stochastic programming
- Supply chain management
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