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GRASP-based heuristic algorithm for the multi-product multi-vehicle inventory routing problem

Author

Listed:
  • Oualid Guemri

    (University of Oran 1 Ahmed BenBella)

  • Abdelghani Bekrar

    (University of Valenciennes and Hainaut Cambresis)

  • Bouziane Beldjilali

    (University of Oran 1 Ahmed BenBella)

  • Damien Trentesaux

    (University of Valenciennes and Hainaut Cambresis)

Abstract

In this paper, we introduce an improved Greedy Randomized Adaptive Search Procedure (GRASP) based heuristic for the multi-product multi-vehicle inventory routing problem (MMIRP). The inventory routing problem, which combines the vehicle-routing problem and the inventory control decisions, is one of the most important problems in combinatorial optimization field. To deal with the MMIRP, we develop a GRASP-based heuristic (GBH). Each GBH iteration consists of two sequential phases; the first phase is a Greedy Randomized Procedure, in which, the best tradeoff between the inventory holding cost and routing cost is looked. Then, in the second phase, as local search for the GRASP, we use the Tabu search (TS) meta-heuristic to improve the solution found in the first phase. The GBH two phases are repeated until some stopped criterion is met. Our proposed method is evaluated on two benchmark data sets, and successfully compared with two state-of-the-art algorithms.

Suggested Citation

  • Oualid Guemri & Abdelghani Bekrar & Bouziane Beldjilali & Damien Trentesaux, 2016. "GRASP-based heuristic algorithm for the multi-product multi-vehicle inventory routing problem," 4OR, Springer, vol. 14(4), pages 377-404, December.
    • Handle: RePEc:spr:aqjoor:v:14:y:2016:i:4:d:10.1007_s10288-016-0315-1
    DOI: 10.1007/s10288-016-0315-1
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    References listed on IDEAS

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    Cited by:

    1. AERTS, Babiche & CORNELISSENS, Trijntje & SÖRENSEN, Kenneth, 2022. "The internal warehouse replenishment problem: the importance of storage and replenishment policies," Working Papers 2022007, University of Antwerp, Faculty of Business and Economics.
    2. Peres, Igor T. & Repolho, Hugo M. & Martinelli, Rafael & Monteiro, Nathália J., 2017. "Optimization in inventory-routing problem with planned transshipment: A case study in the retail industry," International Journal of Production Economics, Elsevier, vol. 193(C), pages 748-756.

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