Detail Penerapan Algoritma Genetik untuk Penyelesaian Heterogen Container Loading Problem dengan Pendekatan Towering (Studi Kasus: Divisi Logistik PT MULTI TERMINAL INDONESIA, Jakarta) Bibliografi Author: SARI, DESY INDAH ; Natalia, Christine (Advisor); Bachri, Karel Octavianus (Advisor) Topik: Container Loading Problem; Genetic Algorithms; Utilization; Towering; Algoritma Genetik; Utilisasi Bahasa: (ID )     Penerbit: Program Studi Teknik Industri Fakultas Teknik Unika Atma Jaya     Tempat Terbit: Jakarta    Tahun Terbit: 2012     Jenis: Theses - Undergraduate Thesis Fulltext: Desy Indah Sari's Undergraduate Theses.pdf (4.78MB; 49 download) Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: FTI-801 Non-tandon: tidak ada Tandon: 1  Lihat Detail Induk Abstract Container loading problem (CLP) is a problem in a container box arrangement which aims to increase utilization, safeguarding the stability of the box in the container, minimizing the cost of shipping containers, and many other problems. PT. Multi Terminal Indonesia (PT.MTI) have problems on setting up boxes for shipping goods in containers. There are two types of containers used PT. MTI in the delivery of 20 and 40 feet. The study was conducted to set the box in order to have maximum utilization. Arrangements the box position made with towering approach. The study aims also to search the solution container loading problems by using genetic algorithms with the intention of minimizing the time the search for solutions. Decodification chromosomes that do modify the proposal by Bortfeldt and Gehring (1997). Genetic operators crossover and mutation adopted the concept of order based Pasandideh and Niaki (2008). The output of the testing carried out showed that the genetic algorithm computation time for 30 generations about 8 minutes 30 seconds. Utilization obtained is equal to 53.83%. It also be seen in the form of image visualization 2 and 3 dimensions of the results of studies. Approach using the method of towering limiting the solution space on a genetic algorithm The first generation (generation 0) produce utilization 46,86% (first population) and increase when it pass 30 generation and produce utilization 53,85% as the last result. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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