Optimasi penentuan distribution center, dengan mempertimbangkan rute, time windows, permintaan stochastic dan kemacetan jalan = Optimization of distribution center determination by considering routes, time windows, stochastic demand and traffic congestion
Fabianus Dhanang Pradanta;
Komarudin, supervisor; Akhmad Hidayatno, supervisor; Romadhani Ardi, examiner; Zulkarnain, examiner
([Publisher not identified]
, 2018)
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ABSTRAK Tingkat kemacetan jalan di kota besar cenderung meningkat dari tahun ke tahun.Kemacetan jalan tersebut menyebabkan model distribusi barang dengan satuDistribution Center (DC) untuk melayani semua titik pengiriman dalam satu kota besarbelum tentu menjamin ketersediaan barang. Fluktuasi permintaan dan batasan waktupenerimaan di titik pengiriman menjadi hal yang harus diperhitungkan dalammenentukan kombinasi rute yang paling efisien. Penambahan sub-DC untuk melayanibeberapa titik pengiriman bisa merupakan satu solusi agar tidak terjadi stock out. Hanyasaja penambahan sub-DC cenderung akan menambah total biaya operasional, baik biayapengiriman maupun biaya penyimpanan barang. Untuk itu perlu optimasi penentuantambahan sub-DC yang mempunyai biaya paling efisien, termasuk meneliti sejauh manaperkembangan kondisi kemacetan akan membuat pilihan tambahan sub-DC tepat atautidak. Model CVRPTW (Capacitated Vehicle Routing Problem with Time Window)dijalankan menggunakan VRP Speadsheet Solver. Kasus nyata pengiriman barang diJakarta digunakan sebagai benchmark dan mengetes validitas model yang dibuat. Darihasil eksperimen, selain didapat rute optimal hasil perhitungan, penambahan sub-DCtetap menambah biaya operasional total, namun bisa dipilih lokasi sub-DC yangmemberikan tambahan paling kecil dibanding lokasi yang lain. Namun dalam jangkapanjang, dengan kondisi kemacetan ekstrim, penambahan sub-DC ternyata memberikanbiaya total yang lebih efisien dibandingkan bila hanya ada satu DC untuk melayanisemua titik pengiriman barang. ABSTRACT The level of traffic congestion in big cities tends to increase from year to year. Trafficcongestion causes the distribution of goods model with one Distribution Center (DC) toserve all delivery points in one big city not necessarily guarantee the availability ofgoods. The demand fluctuations and acceptance time limits at the point of delivery arethe things that must be taken into account in determining the most efficient routecombinations. The addition of sub-DC to serve multiple points of delivery can be onesolution to avoid stock out. It is just that the addition of sub-DC tends to increase thetotal operations cost, both shipping and storage costs. Therefore, it is necessary tooptimize the determination of sub-DC additions which have the most efficient cost,including to examine the extent to which the development of congestion conditions willmake the sub-DC sub-appraisal correct or not. The CVRPTW (Capacitated VehicleRouting Problem with Time Window) model is run using VRP Spreadsheet Solver. Thereal case of delivery of goods in Jakarta is used as a benchmark and test the validity ofthe model created. From the experimental results, in addition to the optimal route ofcalculation results, the addition of sub-DC still adds the total operational cost but can beselected sub-DC location which gives the smallest addition compared to other locations.However, in the long term, with extreme traffic congestion conditions, sub-DCadditions turn out to provide a more efficient total cost than if there was only one DC toserve all points of delivery. |
T51276-Fabianus Dhanang Pradanta.pdf :: Unduh
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No. Panggil : | T51276 |
Entri utama-Nama orang : | |
Entri tambahan-Nama orang : | |
Entri tambahan-Nama badan : | |
Subjek : | |
Penerbitan : | [Place of publication not identified]: [Publisher not identified], 2018 |
Program Studi : |
Bahasa : | ind |
Sumber Pengatalogan : | LibUI ind rda |
Tipe Konten : | text |
Tipe Media : | unmediated ; computer |
Tipe Carrier : | volume ; online resource |
Deskripsi Fisik : | xiii, 47 pages : illustrations ; 30 cm + appendix |
Naskah Ringkas : | |
Lembaga Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 3 |
No. Panggil | No. Barkod | Ketersediaan |
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T51276 | 15-19-859606704 | TERSEDIA |
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