EconPapers    
Economics at your fingertips  
 

Perishable food distribution in the last mile: a multi-objective VRP model

Javier Arturo Orjuela-Castro, Juan Pablo Orejuela-Cabrera and Wilson Adarme-Jaimes

International Journal of Information and Decision Sciences, 2021, vol. 13, issue 4, 322-334

Abstract: The delivery of perishable food in mega cities is negatively affected by traffic congestion and long routes resulting into economic losses due to the perishability of fruit, high costs and tardy deliveries to business establishments located in districts. The perishable foods supply chains acting parties are compelled into making decisions on whether they must better their response time, maintain the quality or reduce their costs, in this sense, the necessity to establish models that contemplate various objectives arises. This article proposes a multi-objective model for the delivery within the last mile of a mega city exemplified in perishable fruits. Our proposal to manage perishability is that of continuous loss, to the extent that the amount of food that deteriorates it is proportional to the amount transported and to the time in which it is transported, which is also affected by the distance travelled, the average speed of travel, and the time spent at each stop, an approach not found in the literature review.

Keywords: multi-objective VRP; perishable foods; fruits; traffic congestion in megacities; quality of foods. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=119375 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:13:y:2021:i:4:p:322-334

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:322-334