Model Jaringan Distribusi Multi Eselon Untuk Produk Multi Item PT. Gold Coin Surabaya

Sulistyowati, Heni (2010) Model Jaringan Distribusi Multi Eselon Untuk Produk Multi Item PT. Gold Coin Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Konfigurasi jaringan distribusi dalam supply chain mengatur tentang alokasi jumlah dan lokasi supplier, fasilitas produksi, pusat distribusi, gudang dan pelanggan. Konfigurasi jaringan distribusi ini diharapkan dapat mencapai optimasi biaya atau minimasi biaya. Dalam Penelitian Tugas Akhir ini, implementasi model jaringan distribusi multi eselon untuk produk multi item yang akan disesuaikan dengan kondisi pada perusahaan PT GOLD COIN Surabaya. Metode yang digunakan oleh penulis dalam Tugas Akhir ini adalah Mixed Integer Linear Programming (MILP) dengan software LINGO. Perusahaan ini berencana untuk membuka beberapa gudang baru. Dengan implementasi model ini, perusahaan dapat menentukan gudang mana yang optimal untuk dibuka, alokasi produk untuk masingmasing gudang yang dibuka. Langkah selanjutnya adalah melakukan analisa sensitivitas terhadap hasil konfigurasi tersebut. analisa sensitivitas dilakukan untuk mengetahui sampai kapan kebijakan ini berlangsung. ======================================================================================================================== Distribution network configuration in a supply chain regulates the allocation of the number and location of suppliers, production facilities, distribution centers, warehouses and customers. This distribution network configuration is expected to achieve optimization of cost or cost minimization. In this final project the implementation of multi-echelon distribution network design for multi-product products will be adjusted to the conditions at company PT GOLD COIN Surabaya. The method which is the writer used in the Final Project is an Mixed Integer Linear Programming (MILP) using Lingo software. This company plans to open several new warehouses. By implementing this model, companies can determine where the optimal warehouse to be opened, the product allocation for each warehouse which was opened. The next step is to conduct sensitivity analysis on the results of these configurations. sensitivity analysis conducted to determine how long this policy is ongoing.

Item Type: Thesis (Undergraduate)
Additional Information: RSI 658.84 Sul m
Uncontrolled Keywords: Distribusi, LINGO, Mixed Integer Linier Programming, dan Supply chain.
Subjects: T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: ansi aflacha
Date Deposited: 14 Feb 2020 03:13
Last Modified: 14 Feb 2020 03:13
URI: http://repository.its.ac.id/id/eprint/74898

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