USULAN PENJADWALAN KEDATANGAN TRUK DI DEPO PETI KEMAS X DENGAN PENDEKATAN OPTIMISASI BERBASIS SIMULASI
The total number of goods that must be unloaded and loaded in Indonesia in 2023 has increased so that the quality of the maritime logistics and transportation system must also be considered, including PT Kawasan Berikat Nusantara (KBN) Cakung. However, the Container Depot X is experiencing proble...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83910 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The total number of goods that must be unloaded and loaded in Indonesia in 2023
has increased so that the quality of the maritime logistics and transportation system
must also be considered, including PT Kawasan Berikat Nusantara (KBN) Cakung.
However, the Container Depot X is experiencing problems due to increase in Truck
Round Time (TRT) which exceeded the set standards. This research is aimed at
overcoming this problem by scheduling trucks to increase depot efficiency and
minimize the average TRT.
The research begins with determining the maximum truck quota that can wait at the
depot using a simulation model. This parameter are selected based on the minimum
TRT value derived from the simulation output. The truck quota becomes input for
the integer linear programming (ILP) model to produce a daily truck arrival
schedule by minimizing truck vendor’s expected costs which consist of
transportation costs, demurrage, and waiting cost. The ILP optimization model
looks for the optimal daily truck arrival time to fulfill each delivery order based on
parameters in the form of demand per day, available truck capacity at each hour,
and the maximum quota of trucks per hour that can be in the depot area.
The optimal truck arrival schedule was obtained with truck vendor’s expected costs
of IDR 57,040,357 and an average TRT of 36.00 minutes with a cost savings of
4.23% and time of 9.09% from existing conditions. The maximum truck quota is 13
trucks which is sensitive to the objective function and decision variables. The results
of this research are also equipped with additional procedures that can be used by
companies to implement this truck arrival scheduling system.
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