UPM Institutional Repository

Distribution network design for fixed lifetime perishable products: a model and solution approach


Firoozi, Zahra and Ismail, Napsiah and Ariafar, Shahram and Tang, Sai Hong and Mohd Ariffin, Mohd Khairol Anuar and Memariani, Azizollah (2013) Distribution network design for fixed lifetime perishable products: a model and solution approach. Journal of Applied Mathematics, 2013. art. no. 891409. pp. 1-13. ISSN 1110-757X; ESSN:1687-0042


Nowadays, many distribution networks deal with the distribution and storage of perishable products. However, distribution network design models are largely based on assumptions that do not consider time limitations for the storage of products within the network. This study develops a model for the design of a distribution network that considers the short lifetime of perishable products. The model simultaneously determines the network configuration and inventory control decisions of the network. Moreover, as the lifetime is strictly dependent on the storage conditions, the model develops a trade-off between enhancing storage conditions (higher inventory cost) to obtain a longer lifetime and selecting those storage conditions that lead to shorter lifetimes (less inventory cost). To solve the model, an efficient Lagrangian relaxation heuristic algorithm is developed. The model and algorithm are validated by sensitivity analysis on some key parameters. Results show that the algorithm finds optimal or near optimal solutions even for large-size cases.

Download File

PDF (Abstract)
Distribution network design for fixed lifetime perishable products.pdf

Download (85kB) | Preview
Official URL or Download Paper: http://dx.doi.org/10.1155/2013/891409

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1155/2013/891409
Publisher: Hindawi Publishing Corporation
Keywords: Distribution network; Fixed lifetime; Perishable products
Depositing User: Nabilah Mustapa
Date Deposited: 13 Mar 2015 01:27
Last Modified: 12 Feb 2016 03:04
URI: http://psasir.upm.edu.my/id/eprint/28864
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item