Open AccessResearch on distribution center layout optimization based on genetic algorithm
Author(s) -
Siqi Zhang,
Yu Zheng,
Guanyang Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1976/1/012010
Subject(s) - genetic algorithm , distribution center , matlab , computer science , logistics center , mathematical optimization , realization (probability) , function (biology) , center (category theory) , algorithm , operations research , engineering , mathematics , machine learning , statistics , chemistry , commerce , evolutionary biology , business , biology , crystallography , operating system
As the core of logistics system, distribution center is not only beneficial to the construction of modern logistics environment, but also to the realization of the overall benefits of logistics system. In order to improve the operation efficiency and have no limitations, we need to design the distribution center as a whole. In this paper, the system layout planning (SLP) combined with genetic algorithm is used to optimize the distribution center. In the use of system layout planning to get the comprehensive relationship between the functional areas, combined with the relevant constraints, build the objective function model, using MATLAB to run the genetic algorithm. The feasibility and rationality of the model are verified by an example. In this paper, the distribution center function area layout problem is regarded as a mathematical optimization problem, and the application of genetic algorithm in the model improves the quantifiable accuracy.