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Two-echelon location routing synchronized with production schedules and time windows

Author

Listed:
  • Karlo Bala

    (University of Novi Sad)

  • Dejan Brcanov

    (University of Novi Sad)

  • Nebojša Gvozdenović

    (University of Novi Sad)

Abstract

In this paper we study a problem that arose while planning the delivery of perishable goods, such as newspapers or foodstuff, in urban areas. The customers require the delivery of several different products within specified time windows. Given a production schedule, facilities for cross docking and a vehicle fleet, the problem is to create a cost effective delivery plan. We propose a heuristic that maintains product availability, and simultaneously, generates an efficient routing schedule. Product availability is maintained through a preflow-push algorithm performed on a time-space facility network, while the routing is guided by simulated annealing. The heuristic was tested on a set of specifically created test instances and on standard 2E-LRP instances by Prodhon.

Suggested Citation

  • Karlo Bala & Dejan Brcanov & Nebojša Gvozdenović, 2017. "Two-echelon location routing synchronized with production schedules and time windows," 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(3), pages 525-543, September.
    • Handle: RePEc:spr:cejnor:v:25:y:2017:i:3:d:10.1007_s10100-016-0463-6
    DOI: 10.1007/s10100-016-0463-6
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    References listed on IDEAS

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    1. Madsen, Oli B. G., 1983. "Methods for solving combined two level location-routing problems of realistic dimensions," European Journal of Operational Research, Elsevier, vol. 12(3), pages 295-301, March.
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    6. 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.
    7. Drexl, Michael & Schneider, Michael, 2015. "A survey of variants and extensions of the location-routing problem," European Journal of Operational Research, Elsevier, vol. 241(2), pages 283-308.
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    Cited by:

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    2. Li, Hongqi & Chen, Jun & Wang, Feilong & Bai, Ming, 2021. "Ground-vehicle and unmanned-aerial-vehicle routing problems from two-echelon scheme perspective: A review," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1078-1095.
    3. Yu, Shaohua & Puchinger, Jakob & Sun, Shudong, 2020. "Two-echelon urban deliveries using autonomous vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    4. Shabnam Rekabi & Ali Ghodratnama & Amir Azaron, 2022. "Designing pharmaceutical supply chain networks with perishable items considering congestion," Operational Research, Springer, vol. 22(4), pages 4159-4219, September.
    5. Escobar-Vargas, David & Crainic, Teodor Gabriel, 2024. "Multi-attribute two-echelon location routing: Formulation and dynamic discretization discovery approach," European Journal of Operational Research, Elsevier, vol. 314(1), pages 66-78.

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