Fuzzy Clustering in Grouping Traditional Market Distribution and Genetic Algorithm Application in Routing of Packed Cooking Oil Distribution
Teja Primawati Utami, Syamsul Maarif, Yandra Arkeman · International Journal of Sciences: Basic and Applied Research · 2015
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. The clustering is created by fuzzy clustering and the routing is created by Transportation Salesperson Problem (TSP) with Genetic Algorithm (GA) method. GA is a method for solving optimization problem based on evolutionary theory in biology. -----------------------------------------------------------------------* Corresponding author. E-mail address: [email protected]