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Optimization of a Two-Echelon Location Lot-Sizing Routing Problem with Deterministic Demand

Author

Listed:
  • Laila Kechmane
  • Benayad Nsiri
  • Azeddine Baalal

Abstract

This paper aims to solve a multiperiod location lot-sizing routing problem with deterministic demand in a two-echelon network composed of a single factory, a set of potential depots, and a set of customers. Solving this problem involves making strategic decisions such as location of depots as well as operational and tactical decisions which include customers’ assignment to the open depots, vehicle routing organization, and inventory management. A mathematical model is presented to describe the problem and a genetic algorithm combined with a local search procedure is proposed to solve it and is tested over three sets of instances.

Suggested Citation

  • Laila Kechmane & Benayad Nsiri & Azeddine Baalal, 2018. "Optimization of a Two-Echelon Location Lot-Sizing Routing Problem with Deterministic Demand," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-12, June.
    • Handle: RePEc:hin:jnlmpe:2745437
    DOI: 10.1155/2018/2745437
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    Cited by:

    1. Lihua Liu & Lai Soon Lee & Hsin-Vonn Seow & Chuei Yee Chen, 2022. "Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method," Sustainability, MDPI, vol. 14(23), pages 1-39, November.
    2. Milovan Kovač & Snežana Tadić & Mladen Krstić & Miloš Veljović, 2023. "A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres," Mathematics, MDPI, vol. 11(15), pages 1-21, July.
    3. Di Wu & Xuejun Ji & Fang Xiao & Shijie Sheng, 2022. "A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

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