Ante Galić
Tonči Carić
Juraj Fosin
Using new optimization methods and information-communications technology has become the key issue in the competition among the distributers of fast-moving consumer goods. Introducing a delivery optimization system instead of manual routing enables significant cost savings. The prerequisites for optimization are stable information system and efficient company management. The rich vehicle routing problem model is discussed and the effects of implementing the delivery optimization system are presented. For four years of continuous utilisation, the system has helped the distributer to reduce the overall distribution costs. It also made possible to close down several depots and handle more customer requests without investing in the vehicle fleet. The developed optimization system enabled the distributer to adapt to the new distribution schedule and react to first indicators of recession very fast.
Toth, P. and Vigo, D.: The Vehicle Routing Problem. Philadelphia: Society for Industrial and Applied Mathematics; 2002.
Braysy, O., et al.: An optimization approach for communal home meal delivery service: A case study. Journal of Computational and Applied Mathematics, 2009. 232(1): pp. 46-53
Braysy, I. and Gendreau, M.: Vehicle routing problem with time windows, part 1: Route construction and local search algorithms. Transportation Science, 2005. 39(1): pp. 104-118
Braysy, I. and Gendreau, M.: Vehicle routing problem with time windows, part II: Metaheuristics. Transportation Science, 2005. 39(1): pp. 119-139
Pisinger, D. and Ropke, S.: A general heuristic for vehicle routing problems. Computers & Operations Research, 2007. 34(8): pp. 2403-2435
Braysy, O., Dullaert, W. and Nakari, P.: The potential of optimization in communal routing problems: case studies from Finland. Journal of Transport Geography, 2009. 17(6): pp. 484-490
Dantzig, G.B. and Ramser, J.H.: The Truck Dis
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