Pengelompokkan Konsumen dan Pembentukan Rute Distribusi Menggunakan Algoritma Campuran (Studi Kasus: Distributor Helm Cahaya Logam)  

Oleh:

Hidayat, Trifenaus Prabu ; KUMALA, CICILIA PUTRI

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI - atma jaya
Dalam koleksi: Metris: Jurnal Mesin, Elektro, Industri dan Sains vol. 11 no. 2 (Sep. 2010), page 119-128.
Topik: Vehicle Routing; Customer Grouping; Genetic and Particle Swarm Algorithm
Fulltext: 8. TRIFENAUS P H (UNIKA ATMA JAYA) pg 119 - 128 (10 halaman)_ros.pdf (192.58KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: MM42 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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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 customer and vehicle routing. To obtain the optimal customer 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 minimiza distribution costs 35.25%.

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