Hybrid aerial and ground vehicles are seen as a promising option for deployment in a post-disaster assessment due to the risk of infrastructure damage that may hinder the assessment operation. The efficient operation of the hybrid aerial and ground vehicle, particularly routings, remains a challenge. The present study proposed a collaborative hybrid aerial and ground vehicle to support the operation of post-disaster assessment. The study developed two models, i.e., the Two-Echelon Vehicle Routing Problem combined with Assignment (2EVRPA) and the Two-Echelon Collaborative Vehicle Routing Problem (2ECoVRP) to evaluate optimal routings for both aerial and ground vehicles. The difference lies in the second echelon in which the 2EVRPA uses a single point-to-point assignment, whereas the 2ECoVRP considers the collaborative routings between the ground vehicle and the aerial vehicle. To demonstrate its applicability, the developed models were applied to solve the post-disaster assessment for the Mount Merapi eruption in Yogyakarta, Indonesia. Sets of numerical experiments based on the empirical case were conducted. The findings indicate that the 2ECoVRP performs better than 2EVRPA in terms of the total operation time. The tabu search algorithm was found to be a promising method to solve the models due to its good quality solution and computational efficiency. The deployment of eight drones appears to be optimum for the given network configuration of the studied case. Flight altitude and battery capacity were found to be influential to the operation time, hence requiring further exploration. Other potential avenues for future research are also discussed.
Bahan Bakar Minyak (BBM) merupakan salah satu kebutuhan pokok yang sangat penting bagi masyarakat, salah satunya yaitu sebagai bahan bakar kendaraan. Pemerintah melalui PT Pertamina (Persero) memiliki peran penting untuk mengatur kegiatan operasional dan ketersediaan BBM bagi masyarakat. Adanya fluktuasi permintaan BBM akan mempengaruhi jumlah kebutuhan truk tangki yang digunakan untuk mendistribusikan BBM ke masing-masing Stasiun Pengisian Bahan Bakar Umum (SPBU). Penelitian ini menggunakan model simulasi-optimasi untuk merancang dan mengembangkan model proses distribusi BBM dari TBBM Plumpang ke SPBU COCO di DKI Jakarta. Tujuan dari penelitian ini adalah merancang dan mengembangkan model simulasi-optimasi untuk menentukan kebutuhan truk tangki yang optimal pada pada prses pendistribusian BBM dengan menggunakan software simulasi Promodel. Hasil penelitian ini menunjukkan bahwa nilai utilitas truk tangki pada kondisi saat ini adalah sebesar 11.49%. Setelah dilakukan simulasi-optimasi didapatkan hasil jumlah mobil tangki yang diusulkan sebanyak 5 unit dengan peningkatan utilitas kendaraan sebesar 48.27%. Terdapat penurunan waktu idle sebesar 86.82% dari kondisi saat ini dan rata-rata waktu penggunaan kendaraan per hari menjadi 0.42 hari lebih singkat daripada kondisi saat ini.
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