DISCRETE EVENT SIMULATION MODEL DEVELOPMENT OF AUTOMATED CONTAINER TERMINAL OPERATING PERFORMANCE
Indonesia is the largest maritime country in the world consisting of 17,508 islands, so sea transportation has an important role. Based on data from the United Nations Conference on Trade and Development (UNCTAD), about 90% of world trade is carried out by seaborne trade, which is dominated by dry b...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/42059 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia is the largest maritime country in the world consisting of 17,508 islands, so sea transportation has an important role. Based on data from the United Nations Conference on Trade and Development (UNCTAD), about 90% of world trade is carried out by seaborne trade, which is dominated by dry bulk and containers which increase 6.4% and 5.1% per year in 2017.
The density of goods and the target to make its terminal as a world class port, is the background of the construction of ports in Tanjung Priok, so that the capacity and performance of the terminal must be increased with limited resources. One of the ways is automating the container terminal equipment.
Identification and evaluation of container terminal performance needs to be done to determine the level of performance of container terminals in providing services. The development of the container terminal operational performance evaluation model formulated in this study using micro-simulation is expected to produce more specific identification and evaluation. The model is used to evaluate the performance of container terminals over a period of 30 days (720 hours) using MATLAB and Simulink software. The model implementation is based on the results of 10 experiments with 3 different scenarios. Each experiment uses different random seeds.
Based on the results of the analysis, the most optimum system is when reducing the number of gates and service time external truck without automation. In these conditions, the value of dwelling time is longer and there are queues at the container yard. However, the yard occupancy ratio is very low, which is 2.25162%. This means that is no needed to broaden the area of container yard.
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