Kurniawan, Aries Pratama (2021) Pemilihan Skenario Kebutuhan Kapal Pengangkut Amoniak Berbasis MRP dengan Integer Linear Programming (ILP). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perencanaan bahan baku yang baik akan memberikan gambaran kepada manajemen terkait total kebutuhan bahan baku dan bagaimana memenuhi kebutuhan tersebut. Pada penelitian ini akan fokus membahas perencanaan kebutuhan dan impor amoniak selama tahun 2021 sebagai komponen terbesar bahan baku yang digunakan PT XYZ. Aktivitas proses perencanaan kebutuhan bahan baku selama ini dilakukan secara terpisah oleh masing-masing unit kerja, sering kali memunculkan masalah ketidakakuratan terhadap total kebutuhan bahan baku selama satu tahun. Permasalahan lain yang muncul adalah pengambilan keputusan terkait skenario pengangkutan amoniak impor. Selama ini proses pemilihan skenario pengangkutan amoniak hanya berdasar pada kapasitas kapal bukan kepada jumlah kebutuhan amoniak impor yang berakibat pada tingginya stok amoniak yang disimpan. Pada penelitian ini akan dilakukan evaluasi terhadap skenario pengangkutan amoniak berdasarkan kondisi eksising dan juga skenario alternatif. Metode Material Requirement Planning (MRP) akan digunakan untuk menghitung total kebutuhan amoniak dan selanjutnya skenario pengangkutan amoniak berdasar kondisi eksisting dan skenario alternatif akan dimasukkan dalam lot sizing problem pada metode MRP. Selain itu untuk memastikan total costs paling rendah dari tiap skenario, maka lot sizing akan dioptimasi menggunakan ILP (Integer Linear Programming) (skenario eksisting) dan LP (Linear Programming) (skenario alternatif). Berdasarkan penelitian ini didapatkan bahwa pengangkutan amoniak menggunakan skenario alternatif memberikan total costs paling rendah (sebesar USD 41.487.966) dibanding tiga skenario eksisting, disebabkan total holding costs yang dihasilkan skenario alternatif paling rendah dibanding skenario eksisting (dapat mengoptimalkan stok amoniak yang disimpan).
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Proper raw material planning will provide management with an overview of the total raw material needs and how to meet those needs. In this study, we will focus on discussing the planning of ammonia needs and imports during 2021 as the largest component of raw materials used by PT XYZ. The activities of the planning process for raw material requirements have been carried out separately by each work unit, often leading to the problem of inaccuracies in the total raw material requirements for one year. Another problem that arises is the decision-making related to the scenario of transporting imported ammonia. So far, the selection process for ammonia transportation scenarios has only been based on vessel’s capacity, not the amount of imported ammonia needs, which results in high stock of stored ammonia. In this research, an evaluation of the ammonia transportation scenario based on existing condition and alternative will be carried out. The Material Requirement Planning (MRP) method will be used to calculate the total ammonia requirement and then the ammonia transportation scenario based on existing condition and alternative scenarios will be included in lot sizing problem in MRP method. In addition, to ensure the lowest total costs for each scenario, lot sizing will be optimized using ILP (Integer Linear Programming) (existing scenario) and LP (Linear Programming) (alternative scenario). Based on this research, it was found that the transportation of ammonia using an alternative scenario provides the lowest total costs (amounting to USD 41.487.966) compared to the three existing, due to the total holding costs resulting from the alternative scenario is the lowest compared to the existing scenario (it can optimize the ammonia inventory).
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | scenario selection, MRP, lot sizing problem, optimization, pemilihan skenario, optimasi |
| Subjects: | T Technology > TS Manufactures > TS155 Production control. Production planning. Production management |
| Divisions: | Faculty of Creative Design and Digital Business (CREABIZ) > Technology Management > 61101-(S2) Master Thesis |
| Depositing User: | Aries Pratama Kurniawan |
| Date Deposited: | 10 Aug 2021 14:18 |
| Last Modified: | 19 Sep 2024 06:58 |
| URI: | http://repository.its.ac.id/id/eprint/85470 |
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