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An optimization model for routing—location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods

Author

Listed:
  • Jaime Acevedo-Chedid

    (Universidad Tecnológica de Bolívar)

  • Melissa Caro Soto

    (Universidad Tecnológica de Bolívar)

  • Holman Ospina-Mateus

    (Universidad Tecnológica de Bolívar)

  • Katherinne Salas-Navarro

    (Universidad de La Costa)

  • Shib Sankar Sana

    (Kishore Bharati Bhagini Nivedita College)

Abstract

The effective distribution of perishable food items is a critical aspect of managing the food industry's supply chain, given their physical–chemical, biological characteristics and composition, which make them highly susceptible to rapid deterioration. This research presents a transport model incorporating a cross-dock system to efficiently deliver goods from production plants to markets. The model incorporates a vehicle routing model that considers time windows for pick-ups and deliveries, optimal cross-dock center locations, a heterogeneous vehicle fleet of limited capacity, and scheduling product collections, arrivals, and departures. The model is a mixed-integer non-linear optimization model that effectively minimizes logistics costs and environmental impacts by considering various parameters such as speed, waiting times, loading and unloading times, and costs associated with the entire operation. The findings demonstrate that the cross-dock structure is highly conducive to distributing perishable goods, achieved by minimizing collection and distribution operations, adhering to designated time windows, and efficiently allocating resources. The GAMS 23.6.5 software is used to program the model, employing various solution strategies, including experimental tests with scenarios, as well as the "posterior," "Pareto optimization," and "weighted sum" methods. The case study in Sincelejo (Sucre, Colombia) reported the best solution, representing 60% of logistics and 40% of environmental costs. The results show complete compliance with routes, no inventory generation, and the necessity of two inbounds and two outbound vehicles for collection from suppliers and delivery to retailers. This study presents an efficient model for managing the transportation of perishable goods, contributing to sustainable distribution activities, and environmental conservation in the food industry's supply chain.

Suggested Citation

  • Jaime Acevedo-Chedid & Melissa Caro Soto & Holman Ospina-Mateus & Katherinne Salas-Navarro & Shib Sankar Sana, 2023. "An optimization model for routing—location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods," Operations Management Research, Springer, vol. 16(4), pages 1742-1765, December.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00379-8
    DOI: 10.1007/s12063-023-00379-8
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    References listed on IDEAS

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    1. Grigorios D. Konstantakopoulos & Sotiris P. Gayialis & Evripidis P. Kechagias, 2022. "Vehicle routing problem and related algorithms for logistics distribution: a literature review and classification," Operational Research, Springer, vol. 22(3), pages 2033-2062, July.
    2. 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.
    3. Vidal, Thibaut & Crainic, Teodor Gabriel & Gendreau, Michel & Prins, Christian, 2014. "Implicit depot assignments and rotations in vehicle routing heuristics," European Journal of Operational Research, Elsevier, vol. 237(1), pages 15-28.
    4. Nguyen, Phuong Khanh & Crainic, Teodor Gabriel & Toulouse, Michel, 2013. "A tabu search for Time-dependent Multi-zone Multi-trip Vehicle Routing Problem with Time Windows," European Journal of Operational Research, Elsevier, vol. 231(1), pages 43-56.
    5. Agustina, Dwi & Lee, C.K.M. & Piplani, Rajesh, 2014. "Vehicle scheduling and routing at a cross docking center for food supply chains," International Journal of Production Economics, Elsevier, vol. 152(C), pages 29-41.
    6. Vasiljevic, Dragan & Stepanovic, Miroslav & Manojlovic, Oliver, 2013. "Cross Docking Implementation In Distribution Of Food Products," Economics of Agriculture, Institute of Agricultural Economics, vol. 60(01), pages 1-11, March.
    7. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
    8. Erdoğan, Sevgi & Miller-Hooks, Elise, 2012. "A Green Vehicle Routing Problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 100-114.
    9. Halloran, Afton & Clement, Jesper & Kornum, Niels & Bucatariu, Camelia & Magid, Jakob, 2014. "Addressing food waste reduction in Denmark," Food Policy, Elsevier, vol. 49(P1), pages 294-301.
    10. Vaibhav Chaudhary & Rakhee Kulshrestha & Srikanta Routroy, 2018. "State-of-the-art literature review on inventory models for perishable products," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 15(3), pages 306-346, March.
    11. Maher A. N. Agi & Hardik N. Soni, 2020. "Joint pricing and inventory decisions for perishable products with age-, stock-, and price-dependent demand rate," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(1), pages 85-99, January.
    12. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    13. Leggieri, Valeria & Haouari, Mohamed, 2017. "A practical solution approach for the green vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 97-112.
    14. Azi, Nabila & Gendreau, Michel & Potvin, Jean-Yves, 2010. "An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles," European Journal of Operational Research, Elsevier, vol. 202(3), pages 756-763, May.
    15. Vaibhav Chaudhary & Rakhee Kulshrestha & Srikanta Routroy, 2018. "State-of-the-art literature review on inventory models for perishable products," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 15(3), pages 306-346, March.
    16. Li, Xiangyong & Tian, Peng & Leung, Stephen C.H., 2010. "Vehicle routing problems with time windows and stochastic travel and service times: Models and algorithm," International Journal of Production Economics, Elsevier, vol. 125(1), pages 137-145, May.
    17. Minner, Stefan & Transchel, Sandra, 2017. "Order variability in perishable product supply chains," European Journal of Operational Research, Elsevier, vol. 260(1), pages 93-107.
    18. 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.
    19. Ahmad Ghasemkhani & Reza Tavakkoli-Moghaddam & Yaser Rahimi & Sina Shahnejat-Bushehri & Haed Tavakkoli-Moghaddam, 2022. "Integrated production-inventory-routing problem for multi-perishable products under uncertainty by meta-heuristic algorithms," International Journal of Production Research, Taylor & Francis Journals, vol. 60(9), pages 2766-2786, May.
    20. Imran, Arif & Salhi, Said & Wassan, Niaz A., 2009. "A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 509-518, September.
    21. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Bektaş, Tolga, 2015. "The time-dependent two-echelon capacitated vehicle routing problem with environmental considerations," International Journal of Production Economics, Elsevier, vol. 164(C), pages 366-378.
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