OPTIMISASI PENJADWALAN KEDATANGAN TRUK EKSTERNAL IMPOR UNTUK MEMINIMASI JUMLAH RELOKASI DAN RATA-RATA PERGESERAN WAKTU PENJADWALAN DENGAN BI-OBJECTIVE LINEAR PROGRAMMING DI TERMINAL PETI KEMAS KOJA
Terminal Peti Kemas Koja (TPK Koja) is a company managed by PT Pelabuhan Indonesia II (Persero) with PT Hutchison Ports Indonesia and engaged in container terminal operations operating in the port of Tanjung Priok. In 2022, TPK Koja had a large portion of waiting time for external import trucks f...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84085 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Terminal Peti Kemas Koja (TPK Koja) is a company managed by PT Pelabuhan Indonesia
II (Persero) with PT Hutchison Ports Indonesia and engaged in container terminal
operations operating in the port of Tanjung Priok. In 2022, TPK Koja had a large portion
of waiting time for external import trucks from the overall turnaround time, causing
congestion at the operational gate and the terminal's stacking yard. Based on fishbone
diagram analysis, there are various factors that cause congestion at TPK Koja, one of which
is the absence of a priority system in scheduling the arrival of external import trucks to the
terminal.
This research proposes the design of an optimal external import truck arrival scheduling
system for TPK Koja and trucking companies by giving priority to certain trucks according
to the location of the containers to be picked up in the stacking yard. This system is called
the CRPAS (Container Relocation Problem with Appointment Scheduling) system. The
approach used is bi-objective linear programming with the objective of minimizing the
number of container relocations and minimizing the average shift in arrival time from the
time desired by the trucking company. However, due to the high complexity of the problem,
the search for an optimal solution for a large amount of data in TPK Koja takes a very long
time. Therefore, this research will also use a heuristic approach with a greedy algorithm.
The optimization method provides optimal results in the form of a total of 228 relocations in
one day, while the heuristic method provides results in the form of a total of 255 relocations
in one day. Both of these results are 29.8% and 21.5% more efficient than the existing system
which applies first-come-first-served. In addition, the CRPAS system can also meet the needs
of trucking companies with the average arrival time shift generated by the optimization
method being only 0.38 shifts per truck and the heuristic method being only 0.48 shifts per
truck. With this system, TPK Koja can reduce waiting time and service time in the stacking
yard so as to reduce congestion at the terminal.
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