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http://dx.doi.org/10.9766/KIMST.2022.25.1.108

Application of Genetic Algorithms to Optimize the Storage Location of Products in Military Logistics  

Ha, Won Yong (Army Consolidated Supply Depot)
Cho, Ki-yang (Army Consolidated Supply Depot)
Han, Chung Sik (Army Consolidated Supply Depot)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.25, no.1, 2022 , pp. 108-116 More about this Journal
Abstract
Supply in military operations has a significant impact on overall combat capability and efficiency. Therefore, modernization of military logistics is underway to ensure rapid and accurate distribution. And, effective warehouse management is paramount. This paper proposes a new product allocation model that uses a genetic algorithm. The model considers order frequency and mass of products because the military equipment is usually heavier than available products. A computer simulation shows that products are assigned to optimal locations and reduce the consumed energy for forklifts by more than 25 % with similar travel time. Also, we show the superiority of genetic algorithm by comparing them with other algorithms.
Keywords
Warehouse Systems; Allocation Problem; Genetic Algorithm; Optimization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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