Document Type
Article
Source Publication Title
Sustainability (MDPI)
DOI
https://doi.org/10.3390/su12166668
Abstract
The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.
Disciplines
Engineering | Operations Research, Systems Engineering and Industrial Engineering
Publication Date
8-18-2020
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Gharehyakheh, Amin; Krejci, Caroline C.; Cantu, Jaime; and Rogers, K. Jamie, "A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life" (2020). Industrial, Manufacturing, and Systems Engineering Faculty Publications. 4.
https://mavmatrix.uta.edu/industrialmanusys_facpubs/4
Comments
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.