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Product-oriented time window assignment for a multi-compartment vehicle routing problem

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  • Martins, Sara
  • Ostermeier, Manuel
  • Amorim, Pedro
  • Hübner, Alexander
  • Almada-Lobo, Bernardo

Abstract

Besides fuel and waste distribution, one core application of multi-compartment vehicles (MCVs) is the distribution of groceries, as they enable retailers to jointly transport products with different temperature requirements, thus reducing the number of visits to a store. Grocery stores usually define preferable time windows that depend on the temperature of products (for example, fresh products in the morning) to indicate when deliveries should occur to better plan their in-store operations. Distribution planning therefore needs to take these preferences into consideration to obtain consistent delivery times. This work extends the research on multi-compartment vehicle routing problems (MCVRPs) by tackling a multi-period setting with a product-oriented time window assignment. In this problem, a fleet of MCVs is used for distribution and a unique time window for the delivery of each product segment to each store is defined consistently throughout the planning horizon. An ALNS is proposed to solve the product-oriented time window assignment for MCVRP. Daily and weekly operators are developed respectively focusing on the improvement of routing aspects of the problem on each day and aligning the time window assignment consistently throughout the planning horizon. The approach is tested on benchmark instances from the literature to demonstrate its effectiveness. We also use direct information from retail practice and enhance this with simulated data to further generalize our findings. The numerical experiments demonstrate that planning consistent MCV distribution leads to better overall solutions than the ex-post time window assignment of daily plans, facilitating more on-time deliveries.

Suggested Citation

  • Martins, Sara & Ostermeier, Manuel & Amorim, Pedro & Hübner, Alexander & Almada-Lobo, Bernardo, 2019. "Product-oriented time window assignment for a multi-compartment vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 276(3), pages 893-909.
    • Handle: RePEc:eee:ejores:v:276:y:2019:i:3:p:893-909
    DOI: 10.1016/j.ejor.2019.01.053
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    4. Frank, Markus & Ostermeier, Manuel & Holzapfel, Andreas & Hübner, Alexander & Kuhn, Heinrich, 2021. "Optimizing routing and delivery patterns with multi-compartment vehicles," European Journal of Operational Research, Elsevier, vol. 293(2), pages 495-510.
    5. Sun, Lijun & Zhang, Yuankai & Hu, Xiangpei, 2021. "Economical-traveling-distance-based fleet composition with fuel costs: An application in petrol distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    6. Yajun Zhan & Yiping Jiang, 2022. "Integrated Optimization of Order Allocation and Last-Mile Multi-Temperature Joint Distribution for Fresh Agriproduct Community Retail," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    7. Marseglia, G. & Mesa, J.A. & Ortega, F.A. & Piedra-de-la-Cuadra, R., 2022. "A heuristic for the deployment of collecting routes for urban recycle stations (eco-points)," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    8. Mar Vazquez-Noguerol & Jose Comesaña-Benavides & Raul Poler & J. Carlos Prado-Prado, 2022. "An optimisation approach for the e-grocery order picking and delivery problem," 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. 30(3), pages 961-990, September.

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