Published: 2023-12-30
Enhancing Logistic Efficiency in Product Distribution through Genetic Algorithms (GAs) for Route Optimization
DOI: 10.35870/ijsecs.v3i3.1872
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Abstract
This research highlights the significant potential of Genetic Algorithms (GA) as a powerful tool for optimizing logistics distribution routes. The utilization of GA has led to substantial improvements in route efficiency, resulting in cost reductions and shorter delivery times. Notably, the inclusion of customer satisfaction as a key parameter in route optimization emphasizes the importance of meeting customer expectations and ensuring timely deliveries. Additionally, the study recognizes the positive environmental implications of reduced travel distances and durations, indicating a favorable impact on environmental sustainability by reducing carbon emissions. Ethical considerations remain paramount, as the research employs anonymized data sources and adheres rigorously to industry standards to safeguard data privacy. Comparative analyses consistently favor GA over conventional distribution methods, reaffirming its capacity to generate more efficient routes. Overall, this investigation underscores the versatility and efficacy of Genetic Algorithms in addressing complex logistics distribution challenges, offering practical solutions that benefit businesses, customers, and environmental conservation alike.
Keywords
Logistic Efficiency ; Product Distribution ; Genetic Algorithm ; Route Optimization
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 3 No. 3 (2023)
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Section: Articles
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Published: %750 %e, %2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/ijsecs.v3i3.1872
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Loso Judijanto
Public Policy Research, IPOSS Jakarta, Indonesia
Tribowo Rachmat Fauzan
Logistics Business Study Program, Faculty of Social and Political Sciences, Universitas Padjadjaran, Sumedang Regency, West Java Province, Indonesia
Bobby Fisher
Accounting Study Program, Faculty of Economics and Business, Universitas Muhammadiyah Jakarta, Central Jakarta City, Special Capital Region of Jakarta, Indonesia
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