Application of Genetic Algorithms for Site Selection of Collection Facilities in the Fresh Vegetable Supply Chain
Aunur Rofiq Mulyarto, Dedaski Alif Mawadah

Dept. of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Malang 65145, Indonesia

Abstract

Collection facilities of fresh vegetables from the farmers are an important part in the supply chain of fresh vegetables. Careful placement location of the facility will help to improve overall efficiency and responsiveness of the supply chain. This paper will discuss the problems of placement location of collection facilities with fixed capacity and covered area. The purpose of this paper is to determine the location of collection facilities of fresh vegetables using genetic algorithms with minimal cost criteria (efficiency) and maximum demand fulfillment (responsiveness). The genetic algorithm is applied by using real number chromosome type to represent the position coordinates of facility locations and single point crossover. The analysis showed that the genetic algorithm approach able to solve the complexity of the collecting fresh vegetables facility site selection problems. It is shown from the results of optimization that in all scenarios compliance with the request, the total cost and percentage of demand fulfillment is always better than the initial conditions. The best alternative solution is obtained on the condition of α = 0.7 and α = 0.9 which gives the minimum total cost and highest demand fulfillment.

Keywords: facility location, fresh vegetable, genetic algorithms, supply chain

Topic: AGROINDUSTRIAL PRODUCTION SYSTEM MANAGEMENT AND REGULATION