Next Article in Journal
The Role of Intermediaries in Supporting Local Low-Carbon Energy Initiatives
Previous Article in Journal
A Methodology for an Integrated Approach for Seismic and Energy Refurbishment of Historic Buildings in Mediterranean Area
Previous Article in Special Issue
Systemic Sustainability of the French Organic Rice and PGI Einkorn Value Chains: A Preliminary Assessment Based on Network Analysis
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(7), 2449; https://doi.org/10.3390/su10072449

Vehicles Allocation for Fruit Distribution Considering CO2 Emissions and Decisions on Subcontracting

1
Program of Industrial Engineering, Fundación Universitaria Agraria de Colombia, Calle 170#54A-10, Bogotá 111166, Colombia
2
Faculty of Administration, Finance and Economic Sciences, Universidad EAN, Calle 79#11-45, Bogotá 110221, Colombia
*
Author to whom correspondence should be addressed.
Received: 1 June 2018 / Revised: 23 June 2018 / Accepted: 27 June 2018 / Published: 13 July 2018
(This article belongs to the Special Issue Sustainable Agribusiness and Food Supply Chain)
Full-Text   |   PDF [982 KB, uploaded 13 July 2018]   |  

Abstract

An important problem in rural-area supply chains is how to transport the harvested fruit to urban areas. Low- and medium-capacity vehicles are used in Colombia to carry out this activity. Operating them comes with an inherent cost and generates carbon emissions. Normally, minimizing operating costs and minimizing carbon emissions are conflicting objectives to allocate such vehicles efficiently in any of the supply chain echelons. We designed a multi-objective mixed-integer programming model to address this problem and solved it via the ε-constraint method. It includes decisions mainly about quantities of fruit to transport and store, types of vehicles to allocate according to their capacities, CO2 emission levels of these vehicles, and subcontracting on the collection process. The main results show two schedules for allocating the vehicles, showing minimum and maximum CO2 emissions. Minimum CO2 emissions scheme require subcontracting and the maximum CO2 scheme does not. Then, a Pareto frontier shows that CO2 emissions level are inversely proportional to total management cost for different scenarios in which fruit supply was modified. View Full-Text
Keywords: CO2 emissions; fruits supply chain; ε-constraint method; perishable food transportation CO2 emissions; fruits supply chain; ε-constraint method; perishable food transportation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Tordecilla-Madera, R.; Polo, A.; Cañón, A. Vehicles Allocation for Fruit Distribution Considering CO2 Emissions and Decisions on Subcontracting. Sustainability 2018, 10, 2449.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top