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Pengelompokkan Konsumen Dan Pembentukan Rute Distribusi Menggunakan Algoritma Campuran (Studi Kasus : Distributor Helm Cahaya Logam)
Bibliografi
Author:
KUMALA, CICILIA PUTRI
;
Hidayat, Trifenaus Prabu
(Advisor)
Topik:
Vehicle Routing
;
Customer Grouping
;
Genetic And Particle Swarm Algorithm
Bahasa:
(ID )
Penerbit:
Program Studi Teknik Industri Fakultas Teknik Unika Atma Jaya
Tempat Terbit:
Jakarta
Tahun Terbit:
2010
Jenis:
Theses - Undergraduate Thesis
Fulltext:
Cicilia Putri Kumala's Undergraduated Theses.pdf
(2.74MB;
36 download
)
Cicilia Putri Kumala-PENDUKUNG.pdf
(25.18KB;
1 download
)
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
FTI-517
Non-tandon:
tidak ada
Tandon:
1
Lihat Detail Induk
Abstract
At this time the competition in the business world is more strict so the entrepreneur is required in order to improving services to customer. In addition, employers must also consider the cost incurred in order to maximize profits. The biggest cost is distribution cost. One component of distribution costs is the cost of transportation. Transportation cost is strongly influenced by the grouping of constumer and vehicle routing. To obtain the optimal constumer grouping can use the genetic algorithm and vehicle routing can be solved by particle swarm algorithm. In this study proposed a mixed algorithm which is a modification for the two algorithms. Distribution program designed to simplify the calculation. Distribution program designed using Visual Basic programming language to facilitate the search for solutions. Based on calculations on data 6 November 2009 until 12 November 2009 amounted to minimize distribution costs 35.25%.
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