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

Abstract

This paper presents the modelling of intelligent routing of transportation of packaging cooking oil from the distribution center to traditional market in the cluster in Indonesia, especialy in Jakarta. Indonesia is the nation who has many islands. Every island has different population of people. Everyday many people go to traditional market to buy main consumption products like palm oil etc. Price of palm oil is very sensitive to increase when it lack at the market, so sustainability of present palm oil at the market is very important. Focus of this research is to demonstrate how to optimize routing distribution from distribution centre to markets in the cluster. Optimum route hopefully can guarantee the availability of product and stock in the market to maintaining the price. The clustering is created by fuzzy clustering and the routing is created by Transportation Salesperson Problem (TSP) with Genetic Algorithm (GA) method. Genetic algorithm is a method for solving optimization problem that based on evolutionary theory in biology.