Optimasi jaringan logistik maritim Indonesia berbasis mixed integer programming = Indonesian maritime logistics network optimization based mixed integer programming
| Main Author: | Natasha Angelina, author |
|---|---|
| Format: | Bachelors |
| Terbitan: |
, 2016
|
| Subjects: | |
| Online Access: |
http://lib.ui.ac.id/file?file=digital/2016-11/20429292-S63892-Natasha angelina .pdf |
| ctrlnum |
20429292 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Optimasi jaringan logistik maritim Indonesia berbasis mixed integer programming = Indonesian maritime logistics network optimization based mixed integer programming</title><creator>Natasha Angelina, author</creator><type>Thesis:Bachelors</type><place/><publisher/><date>2016</date><description><b>ABSTRAK</b><br>
Ketidakseimbangan persebaran aliran barang dari wilayah barat dan timur Indonesia dan infrastruktur transportasi laut di Indonesia yang belum berperan secara efektif, menyebabkan peningkatan biaya logistik dan perbedaan harga komoditas di wilayah barat dan timur Indonesia. Karena itu, perusahaan penyedia jasa pelayaran harus mampu untuk merancang jaringan logistik maritim Indonesia yang paling sesuai dengan kondisi maritim saat ini dan memberikan keuntungan terbesar. Penelitian ini bertujuan untuk mendapatkan model pengambilan keputusan di setiap tingkatan (strategic, tactical, operational) dengan menentukan jenis kapal, rute pelayaran, dan alokasi kargo yang memberikan keuntungan maksimum. Dengan menggunakan Mixed Integer Programming, penelitian ini dapat memecahkan kombinasi dari ketiga permasalahan tersebut. Hasil dari penelitian ini adalah didapatkannya model pengambilan keputusan perancangan jaringan logistik maritim di setiap tingkatan (strategic, tactical, operational) untuk menentukan jenis kapal, rute pelayaran, dan alokasi kargo secara bersamaan
<hr>
<b>ABSTRACT</b><br>
The imbalance of distribution of the flow of goods from western and eastern regions of Indonesia and sea transport infrastructure in Indonesia who have not served effectively, causing an increase in logistics costs and differences in commodity prices in the western region and eastern Indonesia. Therefore, the provider of shipping services should be able to design the Indonesian maritime logistics network that best suits with the current maritime conditions and provide the greatest benefits. This study aims to obtain a model of decision-making at all levels (strategic, tactical, operational) to determine the type of vessel, the shipping routes, and cargo allocation that gives the maximum profit. By using Mixed Integer Programming, this research may solve a combination of these problems. Results from this study is the obtainment of decision-making model maritime logistics network design at all levels (strategic, tactical, operational) to solve the fleet-design, ship-scheduling, and cargo routing problems by simultaneously</description><subject>Integer programming</subject><subject>Shipping -- Indonesia</subject><subject>Ocean liners -- Indonesia</subject><identifier>20429292</identifier><source>http://lib.ui.ac.id/file?file=digital/2016-11/20429292-S63892-Natasha angelina .pdf</source><recordID>20429292</recordID></dc>
|
| format |
Thesis:Bachelors Thesis |
| author |
Natasha Angelina, author |
| title |
Optimasi jaringan logistik maritim Indonesia berbasis mixed integer programming = Indonesian maritime logistics network optimization based mixed integer programming |
| publishDate |
2016 |
| topic |
Integer programming Shipping -- Indonesia Ocean liners -- Indonesia |
| url |
http://lib.ui.ac.id/file?file=digital/2016-11/20429292-S63892-Natasha angelina .pdf |
| contents |
<b>ABSTRAK</b><br>
Ketidakseimbangan persebaran aliran barang dari wilayah barat dan timur Indonesia dan infrastruktur transportasi laut di Indonesia yang belum berperan secara efektif, menyebabkan peningkatan biaya logistik dan perbedaan harga komoditas di wilayah barat dan timur Indonesia. Karena itu, perusahaan penyedia jasa pelayaran harus mampu untuk merancang jaringan logistik maritim Indonesia yang paling sesuai dengan kondisi maritim saat ini dan memberikan keuntungan terbesar. Penelitian ini bertujuan untuk mendapatkan model pengambilan keputusan di setiap tingkatan (strategic, tactical, operational) dengan menentukan jenis kapal, rute pelayaran, dan alokasi kargo yang memberikan keuntungan maksimum. Dengan menggunakan Mixed Integer Programming, penelitian ini dapat memecahkan kombinasi dari ketiga permasalahan tersebut. Hasil dari penelitian ini adalah didapatkannya model pengambilan keputusan perancangan jaringan logistik maritim di setiap tingkatan (strategic, tactical, operational) untuk menentukan jenis kapal, rute pelayaran, dan alokasi kargo secara bersamaan
<hr>
<b>ABSTRACT</b><br>
The imbalance of distribution of the flow of goods from western and eastern regions of Indonesia and sea transport infrastructure in Indonesia who have not served effectively, causing an increase in logistics costs and differences in commodity prices in the western region and eastern Indonesia. Therefore, the provider of shipping services should be able to design the Indonesian maritime logistics network that best suits with the current maritime conditions and provide the greatest benefits. This study aims to obtain a model of decision-making at all levels (strategic, tactical, operational) to determine the type of vessel, the shipping routes, and cargo allocation that gives the maximum profit. By using Mixed Integer Programming, this research may solve a combination of these problems. Results from this study is the obtainment of decision-making model maritime logistics network design at all levels (strategic, tactical, operational) to solve the fleet-design, ship-scheduling, and cargo routing problems by simultaneously |
| id |
IOS18065.20429292 |
| institution |
Universitas Indonesia |
| institution_id |
51 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Indonesia |
| library_id |
492 |
| collection |
Repository Skripsi (Membership) Universitas Indonesia |
| repository_id |
18065 |
| city |
KOTA DEPOK |
| province |
JAWA BARAT |
| repoId |
IOS18065 |
| first_indexed |
2022-12-14T02:50:28Z |
| last_indexed |
2022-12-14T02:50:28Z |
| recordtype |
dc |
| merged_child_boolean |
1 |
| _version_ |
1752186727167950848 |
| score |
17.538404 |