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 |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/4107877 |
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| Summary: | 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. |
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| ISSN: | 1013-1388 |