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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Main Author: Erhan Arslan
Format: Article
Language:English
Published: Sanayi ve Teknoloji Bakanlığı 2025-02-01
Series:Verimlilik Dergisi
Subjects:
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