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Stochastic single vehicle routing with a predefined customer sequence and multiple depot returns

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  • Tatarakis, A.
  • Minis, I.

Abstract

We study the routing of a single vehicle that delivers multiple products under stochastic demand. Specifically, we investigate two practical variations of this problem: (i) The case in which each product type is stored in its dedicated compartment in the vehicle, and (ii) the case in which all products are stored together in the vehicle's single compartment. Suitable dynamic programming algorithms are proposed to determine the minimum expected (routing) cost for each case. Furthermore, the optimal routing policy is derived by developing appropriate theorems. The efficiency of the algorithms is studied by solving large problem sets.

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  • Tatarakis, A. & Minis, I., 2009. "Stochastic single vehicle routing with a predefined customer sequence and multiple depot returns," European Journal of Operational Research, Elsevier, vol. 197(2), pages 557-571, September.
    • Handle: RePEc:eee:ejores:v:197:y:2009:i:2:p:557-571
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    Cited by:

    1. Dimitrakos, T.D. & Kyriakidis, E.G., 2015. "A single vehicle routing problem with pickups and deliveries, continuous random demands and predefined customer order," European Journal of Operational Research, Elsevier, vol. 244(3), pages 990-993.
    2. Goodson, Justin C., 2015. "A priori policy evaluation and cyclic-order-based simulated annealing for the multi-compartment vehicle routing problem with stochastic demands," European Journal of Operational Research, Elsevier, vol. 241(2), pages 361-369.
    3. Florio, Alexandre M. & Hartl, Richard F. & Minner, Stefan, 2020. "Optimal a priori tour and restocking policy for the single-vehicle routing problem with stochastic demands," European Journal of Operational Research, Elsevier, vol. 285(1), pages 172-182.
    4. Pandelis, D.G. & Kyriakidis, E.G. & Dimitrakos, T.D., 2012. "Single vehicle routing problems with a predefined customer sequence, compartmentalized load and stochastic demands," European Journal of Operational Research, Elsevier, vol. 217(2), pages 324-332.
    5. Kyriakidis, Epaminondas G. & Dimitrakos, Theodosis D. & Karamatsoukis, Constantinos C., 2019. "Optimal delivery of two similar products to N ordered customers with product preferences," International Journal of Production Economics, Elsevier, vol. 209(C), pages 194-204.
    6. Pandelis, D.G. & Karamatsoukis, C.C. & Kyriakidis, E.G., 2013. "Finite and infinite-horizon single vehicle routing problems with a predefined customer sequence and pickup and delivery," European Journal of Operational Research, Elsevier, vol. 231(3), pages 577-586.
    7. Jorge E. Mendoza & Bruno Castanier & Christelle Guéret & Andrés L. Medaglia & Nubia Velasco, 2011. "Constructive Heuristics for the Multicompartment Vehicle Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 45(3), pages 346-363, August.
    8. Minis, I. & Tatarakis, A., 2011. "Stochastic single vehicle routing problem with delivery and pick up and a predefined customer sequence," European Journal of Operational Research, Elsevier, vol. 213(1), pages 37-51, August.
    9. Jin, Ming & Li, Gang & Cheng, T.C.E., 2018. "Buy online and pick up in-store: Design of the service area," European Journal of Operational Research, Elsevier, vol. 268(2), pages 613-623.
    10. Epaminondas G. Kyriakidis & Theodosis D. Dimitrakos & Constantinos C. Karamatsoukis, 2020. "A Stochastic Single Vehicle Routing Problem with a Predefined Sequence of Customers and Collection of Two Similar Materials," Methodology and Computing in Applied Probability, Springer, vol. 22(4), pages 1559-1582, December.
    11. Zhang, Junlong & Lam, William H.K. & Chen, Bi Yu, 2016. "On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows," European Journal of Operational Research, Elsevier, vol. 249(1), pages 144-154.
    12. Justin C. Goodson & Barrett W. Thomas & Jeffrey W. Ohlmann, 2016. "Restocking-Based Rollout Policies for the Vehicle Routing Problem with Stochastic Demand and Duration Limits," Transportation Science, INFORMS, vol. 50(2), pages 591-607, May.

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