Fuzzy Clustering in Grouping Traditional Market Distribution and Genetic Algorithm Application in Routing of Packed Cooking Oil Distribution

Authors

  • Teja Primawati Utami Ministry of Trade
  • Syamsul Ma
  • Yandra Arkeman
  • Liesbetini Hartoto

Keywords:

fuzzy clustering, transportation salesperson problem, genetic algorithm, packaging cooking oil.

Abstract

This paper presents the modeling of intelligent routing of transportation of packaging cooking oil from the center to traditional market in the cluster in Indonesia, especially in Jakarta. Indonesia is the nation who has many islands. Every island has different population of people. Every day the public go to traditional market to buy main consumption products as palm cooking oil etc. The price of palm cooking oil at the market, sensitively will increase, especially when it becomes lack, by means sustainability of recent palm cooking oil stock at the market is very important. Focus of this research is to demonstrate how to optimize of routing distribution from distribution center to markets in the cluster. Optimum route expected can guarantee the availability of product and stock in the market to maintain the price.

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Published

2015-05-06

How to Cite

Utami, T. P., Ma, S., Arkeman, Y., & Hartoto, L. (2015). Fuzzy Clustering in Grouping Traditional Market Distribution and Genetic Algorithm Application in Routing of Packed Cooking Oil Distribution. International Journal of Sciences: Basic and Applied Research (IJSBAR), 22(2), 46–65. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/3945

Issue

Vol. 22 No. 2 (2015)

Section

Articles

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