Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML
Purpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models.Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operatio...
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Format: | Article |
Language: | English |
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Sanayi ve Teknoloji Bakanlığı
2025-02-01
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Series: | Verimlilik Dergisi |
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Online Access: | https://dergipark.org.tr/tr/download/article-file/4107877 |
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author | Erhan Arslan |
author_facet | Erhan Arslan |
author_sort | Erhan Arslan |
collection | DOAJ |
description | Purpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models.Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operational strategies based on real-time data collected from warehouse activities.Findings: A prototype implementation demonstrated significant improvements, including a 28.6% reduction in average picking time, a 20% improvement in inventory turnover, an increase in demand forecasting accuracy from 85% to 92%, and a reduction in labor costs by 15%.Originality: This research uniquely applies Digital Twin technology to manual warehouse environments, showcasing its effectiveness in enhancing operational efficiency without the need for full automation. |
format | Article |
id | doaj-art-865bd48001474fbcae509e56a33507c4 |
institution | Kabale University |
issn | 1013-1388 |
language | English |
publishDate | 2025-02-01 |
publisher | Sanayi ve Teknoloji Bakanlığı |
record_format | Article |
series | Verimlilik Dergisi |
spelling | doaj-art-865bd48001474fbcae509e56a33507c42025-02-07T06:03:41ZengSanayi ve Teknoloji BakanlığıVerimlilik Dergisi1013-13882025-02-01PRODUCTIVITY FOR LOGISTICS11913810.51551/verimlilik.1524701417Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/MLErhan Arslan0https://orcid.org/0009-0008-2011-7552TURKCELL TECHNOLOGYPurpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models.Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operational strategies based on real-time data collected from warehouse activities.Findings: A prototype implementation demonstrated significant improvements, including a 28.6% reduction in average picking time, a 20% improvement in inventory turnover, an increase in demand forecasting accuracy from 85% to 92%, and a reduction in labor costs by 15%.Originality: This research uniquely applies Digital Twin technology to manual warehouse environments, showcasing its effectiveness in enhancing operational efficiency without the need for full automation.https://dergipark.org.tr/tr/download/article-file/4107877digital twinwarehouseoptimizationartificial intelligencemachine learning: dijital i̇kizdepooptimizasyonyapay zekâmakine öğrenmesi |
spellingShingle | Erhan Arslan Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML Verimlilik Dergisi digital twin warehouse optimization artificial intelligence machine learning : dijital i̇kiz depo optimizasyon yapay zekâ makine öğrenmesi |
title | Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML |
title_full | Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML |
title_fullStr | Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML |
title_full_unstemmed | Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML |
title_short | Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML |
title_sort | optimizing human centric warehouse operations a digital twin approach using dynamic algorithms and ai ml |
topic | digital twin warehouse optimization artificial intelligence machine learning : dijital i̇kiz depo optimizasyon yapay zekâ makine öğrenmesi |
url | https://dergipark.org.tr/tr/download/article-file/4107877 |
work_keys_str_mv | AT erhanarslan optimizinghumancentricwarehouseoperationsadigitaltwinapproachusingdynamicalgorithmsandaiml |