The Computerized distribution route planning of PT Lea Sanent using genetic algorithm and analytical hierarchy process
Distribution is the allocation of income and assets within one society. The main objective in distribution is to deliver the product to destination with minimum travelling distance and total travelling time as well as the cost. PT Lea Sanent is the garment industry that distributes the products to its customer by its own. In determining the route, the route planned by PT. Lea Sanent is not well organized and taking a long time which lead to the complaint from the stores. This research proposed the program which combining the Genetic Algorithms (GA) methods and Analytical Hierarchy Process (AHP) in order to solve multi objective function since the traditional genetic algorithms only find the single objective function. The weighting of AHP will be used in determining the fitness function of the chromosomes to produce the new population in GA. The fitness function includes the total traveling distance, cost, and time. By using GA-AHP in route planning, the optimization of time, cost and distance is obtained in the end.
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