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A two-stage solution method for the annual dairy transportation problem

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  • Masson, Renaud
  • Lahrichi, Nadia
  • Rousseau, Louis-Martin

Abstract

The annual dairy transportation problem involves designing the routes that collect milk from farms and deliver it to processing plants. The demands of these plants can change from one week to the next, but the collection is fixed by contract and must remain the same throughout the year. While the routes are currently designed using the historical average demand from the plants, we show that including the information about plants demands leads to significant savings. We propose a two-stage method based on an adaptive large neighborhood search (ALNS). The first phase solves the transportation problem and the second phase ensures that the optimization of plant assignment is performed. An additional analysis based on period clustering is conducted to speed up the resolution.

Suggested Citation

  • Masson, Renaud & Lahrichi, Nadia & Rousseau, Louis-Martin, 2016. "A two-stage solution method for the annual dairy transportation problem," European Journal of Operational Research, Elsevier, vol. 251(1), pages 36-43.
    • Handle: RePEc:eee:ejores:v:251:y:2016:i:1:p:36-43
    DOI: 10.1016/j.ejor.2015.10.058
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    References listed on IDEAS

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    1. Potvin, Jean-Yves & Rousseau, Jean-Marc, 1993. "A parallel route building algorithm for the vehicle routing and scheduling problem with time windows," European Journal of Operational Research, Elsevier, vol. 66(3), pages 331-340, May.
    2. Claassen, G.D.H. & Hendriks, Th.H.B., 2007. "An application of Special Ordered Sets to a periodic milk collection problem," European Journal of Operational Research, Elsevier, vol. 180(2), pages 754-769, July.
    3. Massimiliano Caramia & Francesca Guerriero, 2010. "A Milk Collection Problem with Incompatibility Constraints," Interfaces, INFORMS, vol. 40(2), pages 130-143, April.
    4. L.R. Foulds & J.M. Wilson, 1997. "A variation of the generalized assignment problem arising in the New Zealand dairy industry," Annals of Operations Research, Springer, vol. 69(0), pages 105-114, January.
    5. David Pisinger & Stefan Ropke, 2010. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 399-419, Springer.
    6. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    7. Jayaram K. Sankaran & Rahul R. Ubgade, 1994. "Routing Tankers for Dairy Milk Pickup," Interfaces, INFORMS, vol. 24(5), pages 59-66, October.
    8. C. Basnet & L.R. Foulds & J.M. Wilson, 1999. "An exact algorithm for a milk tanker scheduling and sequencing problem," Annals of Operations Research, Springer, vol. 86(0), pages 559-568, January.
    9. J-F Cordeau & G Laporte & A Mercier, 2001. "A unified tabu search heuristic for vehicle routing problems with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 928-936, August.
    10. Martin W. P. Savelsbergh, 1992. "The Vehicle Routing Problem with Time Windows: Minimizing Route Duration," INFORMS Journal on Computing, INFORMS, vol. 4(2), pages 146-154, May.
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    Cited by:

    1. Deng, Xue & Chen, Jiaxing & Wang, Xu & Geng, Fengting, 2022. "Non-dominated sorting genetic algorithm-II for possibilistic mean-semiabsolute deviation-Yager entropy portfolio model with complex real-world constraints," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 59-78.
    2. Huang, Kuancheng & Wu, Kun-Feng & Ardiansyah, Muhammad Nashir, 2019. "A stochastic dairy transportation problem considering collection and delivery phases," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 325-338.

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