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Syarif Daniel Budiman
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Industrial & Manufacturing Engineering

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Penyelesaian Permasalahan Multi-tour Inventory Routing Problem dengan Particle Swarm Optimization Budiman, Syarif Daniel; Widyadana, I Gede Agus
Jurnal Titra Vol 1, No 2 (2013)
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.005 KB)

Abstract

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.
Penyelesaian Permasalahan Multi-tour Inventory Routing Problem dengan Particle Swarm Optimization Syarif Daniel Budiman; I Gede Agus Widyadana
Jurnal Titra Vol 1, No 2 (2013)
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.217 KB)

Abstract

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.
Co-Authors I Gede Agus Widyadana I Gede Agus Widyadana