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A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life

Author

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  • Amin Gharehyakheh

    (Department of Industrial Manufacturing, and Systems Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA)

  • Caroline C. Krejci

    (Department of Industrial Manufacturing, and Systems Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA)

  • Jaime Cantu

    (Department of Industrial Manufacturing, and Systems Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA)

  • K. Jamie Rogers

    (Department of Industrial Manufacturing, and Systems Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA)

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 CO 2 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.

Suggested Citation

  • Amin Gharehyakheh & Caroline C. Krejci & Jaime Cantu & K. Jamie Rogers, 2020. "A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6668-:d:400466
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    References listed on IDEAS

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    1. Amorim, P. & Günther, H.-O. & Almada-Lobo, B., 2012. "Multi-objective integrated production and distribution planning of perishable products," International Journal of Production Economics, Elsevier, vol. 138(1), pages 89-101.
    2. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    3. Vladimir Todorovic & Marinko Maslaric & Sanja Bojic & Maja Jokic & Dejan Mircetic & Svetlana Nikolicic, 2018. "Solutions for More Sustainable Distribution in the Short Food Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-27, September.
    4. Shuai Yang & Yujie Xiao & Yan Zheng & Yan Liu, 2017. "The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control," Sustainability, MDPI, vol. 9(9), pages 1-8, August.
    5. Devapriya, Priyantha & Ferrell, William & Geismar, Neil, 2017. "Integrated production and distribution scheduling with a perishable product," European Journal of Operational Research, Elsevier, vol. 259(3), pages 906-916.
    6. Michael Ketzenberg & Jacqueline Bloemhof & Gary Gaukler, 2015. "Managing Perishables with Time and Temperature History," Production and Operations Management, Production and Operations Management Society, vol. 24(1), pages 54-70, January.
    7. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    8. V. R. Ghezavati & S. Hooshyar & R. Tavakkoli-Moghaddam, 2017. "A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 29-54, March.
    9. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
    10. Omar Ahumada & J. Villalobos, 2011. "A tactical model for planning the production and distribution of fresh produce," Annals of Operations Research, Springer, vol. 190(1), pages 339-358, October.
    11. Validi, Sahar & Bhattacharya, Arijit & Byrne, P.J., 2014. "A case analysis of a sustainable food supply chain distribution system—A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 152(C), pages 71-87.
    12. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    13. Wolfgang Albrecht & Martin Steinrücke, 2018. "Coordinating continuous-time distribution and sales planning of perishable goods with quality grades," International Journal of Production Research, Taylor & Francis Journals, vol. 56(7), pages 2646-2665, April.
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