Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm
Journal: International Journal of Scientific & Technology Research (Vol.4, No. 3)Publication Date: 2015-03-15
Authors : Bahareh Vaisi; Reza Tavakkoli-Moghaddam;
Page : 11-15
Keywords : Index Terms Cross-docking; Genetic algorithm; Non-linear integer programming; Strip and stack doors; Transportation cost.;
Abstract
Abstract This paper presents a non-linear integer programming model for a cross-dock problem that considers the total transportation cost of inbound and outbound trucks from an origin to a destination and the total cost of assigning strip and stack doors to trucks based on their number of trips and the distance between doors in cross-dock. In previous studies these two cost-based problems are modeled separately however it is more realistic and practical to use both of them as an integrated cross-docking model. Additionally this model is solved for a randomly generated numerical example with three suppliers and two customers by the use of a genetic algorithm. By comparing two different parameter levels i.e. low and high numbers of populations the optimum solution is obtained considering a high level population size. A number of strip and stack doors are equal to a number of inbound and outbound trucks in the same sequence as 4 and 6 respectively. Finally the conclusion is presented.
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Last modified: 2015-06-28 04:09:11