The Inventory Routing Problem (IRP) has become a problem that thoroughly studied recently. One of the IRP models that have been developed was an IRP multi-tour, which described a single distribution center r with a set of salespoints. The salespoints is served by a limited number of vehicles with finite load capacities. Vehicle will replenish the salespoints by making a multi-tour route. Each multi-tour consists of a set of sub-tour involving salespoints to be replenished. The multi-tour solution has increase the complexity of the model compared to the normal tour IRP model. Therefore a Particle Swarm Optimization (PSO) algorithm has been proposed for solving a sequential problem in allocating salespoints to the route. Some heuristic methods also been developed for creating the multi-tour. The validity of the algorithm, along with comparison with other existing algorithm, has been provided to validate the proposed PSO algorithm. Result obtained has shown that the PSO algorithm having a promising performance in solving the problem.


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    Title :

    Penyelesaian Permasalahan Multi-tour Inventory Routing Problem dengan Particle Swarm Optimization


    Contributors:

    Publication date :

    2013-07-08


    Remarks:

    Jurnal Titra; Vol 1, No 2 (2013); 213-220


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629