Aushafi, Davina Ahza (2026) Pengembangan Model Vehicle Routing Problem Dengan Multi Cross-Dockings Untuk Sinkronisasi Armada Truk-Drone di Jalan Bebas Hambatan. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pertumbuhan e-commerce dan tuntutan pengiriman cepat meningkatkan kebutuhan akan sistem distribusi yang mampu mengoordinasikan beberapa moda secara tepat waktu. Penelitian tugas akhir ini mengembangkan model Vehicle Routing Problem with Multiple Cross-dockings (VRPMCD) pada sistem distribusi dua eselon truk–drone di koridor jalan bebas hambatan. Truk berperan sebagai armada eselon pertama yang bergerak antardepot melalui rest area sebagai hub cross-docking, sedangkan drone berpangkalan di hub untuk melayani micro-hub. Model mencakup aliran paket delivery, pickup, dan inter-city serta menekankan sinkronisasi temporal antara ketersediaan paket, headway truk, operasi drone, dan proses transfer di hub. Penyelesaian model dilakukan melalui simulasi heuristik konstruktif yang menggabungkan earliest feasible truck assignment, priority scheduling, batching, dan nearest neighbour. Model diimplementasikan dalam Decision Support Tools AeroTruck berbasis Python dan ReactJS. Uji numerik menggunakan data sintetik pada tiga puluh skenario dengan variasi pola demand, headway truk, jumlah drone per hub, dan cross-hub coordination. Hasil menunjukkan bahwa kecukupan armada drone memperbaiki keterlayanan paket, sedangkan headway yang lebih renggang meningkatkan risiko waktu tunggu dan paket tidak terlayani. Cross-Hub Coordination memberikan manfaat yang bersifat kondisional. Model ini dapat digunakan untuk mengevaluasi kebijakan sinkronisasi truk–drone secara terstruktur.
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The growth of e-commerce and increasing demand for rapid delivery require distribution systems capable of coordinating multiple transport modes in a timely manner. This study develops a Vehicle Routing Problem with Multiple Cross-dockings (VRPMCD) model for a two-echelon truck–drone distribution system operating along a highway corridor. Trucks serve as the first-echelon fleet and travel between depots through rest areas used as cross-docking hubs, while drones are stationed at the hubs to serve micro-hubs. The model accommodates delivery, pickup, and inter-city package flows and emphasizes temporal synchronization among package availability, truck schedules, drone operations, and transfer activities at the hubs. The model is implemented procedurally through a constructive heuristic simulation that combines earliest feasible truck assignment, priority scheduling, batching, and the nearest neighbour method. It is implemented in AeroTruck, a Python- and ReactJS-based Decision Support Tool. Numerical experiments use synthetic data across thirty scenarios that vary demand patterns, truck headway, the number of drones per hub, and Cross-Hub Coordination. The results indicate that sufficient drone capacity increases the number of served packages, while longer truck headways increase waiting times and the risk that packages remain unserved. Cross-Hub Coordination provides conditional benefits. The model supports structured evaluation of alternative truck–drone synchronization policies
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | fleet combination, same-day logistic services, truck-drone, vehicle routing problem with multiple crossdockings,bongkar muat, integrasi armada, sinkronisasi, truk–drone |
| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T57.84 Heuristic algorithms. T Technology > T Technology (General) > T58.62 Decision support systems U Military Science > UG1242 Drone aircraft--Control systems. (unmanned vehicle) |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Davina Ahza Aushafi |
| Date Deposited: | 31 Jul 2026 01:18 |
| Last Modified: | 31 Jul 2026 01:18 |
| URI: | http://repository.its.ac.id/id/eprint/140613 |
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