Alfiani, Assyitha Alfiani (2026) Optimasi Penjadwalan Assembly Blok Kapal Multi-Proyek Dengan Ketidakpastian Durasi Dan Pemerataan Beban Kerja Manpower Menggunakan Fuzzy-Ant Colony Optimization. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Industri galangan kapal menghadapi tantangan penjadwalan perakitan blok yang kompleks, terutama pada proyek simultan (multi-proyek) dengan keterbatasan tenaga kerja. Pendekatan deterministik yang digunakan saat ini kurang mampu mengakomodasi ketidakpastian durasi pengerjaan, sehingga sering menyebabkan keterlambatan proyek. Penelitian ini mengembangkan model penjadwalan hibrida Fuzzy-Ant Colony Optimization (Fuzzy-ACO) untuk meminimalkan makespan. Ketidakpastian durasi dimodelkan menggunakan Triangular Fuzzy Number(TFN) dengan tiga skenario estimasi (optimis, realistis, pesimis), yang kemudian didefuzzifikasi menjadi durasi ekspektasi melalui GMIR. Sementara itu, sistem inferensi Fuzzy Mamdani menghasilkan bobot prioritas (heuristic) berdasarkan kelonggaran waktu (slack) dan beban tenaga kerja (manpower) setiap blok. Model diuji pada data riil 305 blok dari tiga proyek kapal di PT XYZ dengan berbagai skenario kapasitas tenaga kerja. Hasil simulasi menunjukkan bahwa kapasitas tenaga kerja merupakan faktor dominan dalam menentukan durasi proyek. Kapasitas eksisting 384 pekerja per hari menghasilkan makespan 551,78 hari, sedangkan skenario 800 pekerja diperlukan untuk mencapai target kontrak 308 hari. Analisis distribusi bulanan mengonfirmasi bahwa algoritma berhasil melakukan pemerataan beban kerja (resource leveling) secara optimal. Kesenjangan waktu sebesar 243,78 hari memberikan justifikasi kuantitatif bagi manajemen untuk menerapkan kebijakan lembur secara terarah pada periode puncak, tanpa harus menambah jumlah personel secara signifikan.
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The shipbuilding industry faces complex block assembly scheduling challenges, particularly in multi-project environments with limited manpower capacity. Current deterministic approaches fail to accommodate duration uncertainty, often leading to project delays. This research develops a hybrid Fuzzy-Ant Colony Optimization (Fuzzy-ACO) scheduling model to minimize makespan. Duration uncertainty is modeled using Triangular Fuzzy Numbers (TFN) with three estimation scenarios (optimistic, most likely, pessimistic), which are then defuzzified into expected durations via GMIR. Meanwhile, a Mamdani fuzzy inference system generates priority weights (heuristics) based on slack time and manpower workload for each block. The model is tested on real data from 305 blocks across three ship projects at PT XYZ under various manpower capacity scenarios. Simulation results indicate that manpower capacity is the primary determinant of project duration. The existing capacity of 384 workers per day yields a makespan of 551.78 days, while an 800-worker scenario is required to meet the 308-day contract target. Monthly distribution analysis confirms that the algorithm effectively performs optimal resource leveling. A time gap of 243.78 days provides quantitative justification for management to implement targeted overtime policies during peak periods, without requiring a significant increase in physical personnel.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Penjadwalan Multi-Proyek, Fuzzy-ACO, Kapasitas Tenaga Kerja, Resource Leveling, Makespan Multi-Project Scheduling, Fuzzy-ACO, Manpower Capacity, Resource Leveling, Makespan |
| Subjects: | V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM298.5 Shipbuilding industri. Shipyards |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | Assyitha Alfiani |
| Date Deposited: | 04 Aug 2026 02:11 |
| Last Modified: | 04 Aug 2026 02:11 |
| URI: | http://repository.its.ac.id/id/eprint/142795 |
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