Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis
Modern enterprise resource planning (ERP) systems face the challenge of handling massive amounts of data and supporting real-time decision-making. With the rapid changes in the market environment, traditional ERP systems are limited in their ability to make adaptive decisions. This study aims to add...
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2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10788717/ |
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| author | Li-Sen Zhang |
| author_facet | Li-Sen Zhang |
| author_sort | Li-Sen Zhang |
| collection | DOAJ |
| description | Modern enterprise resource planning (ERP) systems face the challenge of handling massive amounts of data and supporting real-time decision-making. With the rapid changes in the market environment, traditional ERP systems are limited in their ability to make adaptive decisions. This study aims to address this issue by integrating deep learning techniques to enhance the management effectiveness of ERP systems. The study uses RNNs, CNNs and DRL models for time series prediction, image recognition and resource optimisation, respectively. The experimental results show that RNN achieves 95% accuracy in demand forecasting, CNN 98% accuracy in image recognition, and DRL achieves more than 10% cost savings in resource optimisation. The integrated ERP system achieved a 42.86% reduction in order processing time, a 25% improvement in inventory turnover, an 8% reduction in operating costs, and a 15% improvement in employee satisfaction. This study demonstrates the effectiveness of deep learning to enhance decision support in ERP systems and provides suggestions for future directions of improvement. |
| format | Article |
| id | doaj-art-2cb7b97003d34b2d8d014ada529d9f9e |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2cb7b97003d34b2d8d014ada529d9f9e2025-08-20T02:39:25ZengIEEEIEEE Access2169-35362024-01-011219340219341510.1109/ACCESS.2024.351487910788717Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness AnalysisLi-Sen Zhang0https://orcid.org/0009-0001-7651-1574School of Business, The George Washington University, Washington, DC, USAModern enterprise resource planning (ERP) systems face the challenge of handling massive amounts of data and supporting real-time decision-making. With the rapid changes in the market environment, traditional ERP systems are limited in their ability to make adaptive decisions. This study aims to address this issue by integrating deep learning techniques to enhance the management effectiveness of ERP systems. The study uses RNNs, CNNs and DRL models for time series prediction, image recognition and resource optimisation, respectively. The experimental results show that RNN achieves 95% accuracy in demand forecasting, CNN 98% accuracy in image recognition, and DRL achieves more than 10% cost savings in resource optimisation. The integrated ERP system achieved a 42.86% reduction in order processing time, a 25% improvement in inventory turnover, an 8% reduction in operating costs, and a 15% improvement in employee satisfaction. This study demonstrates the effectiveness of deep learning to enhance decision support in ERP systems and provides suggestions for future directions of improvement.https://ieeexplore.ieee.org/document/10788717/Thesaurus deep learningcloud-based enterprise resource planning systemadaptive decision supportmanagement effectiveness |
| spellingShingle | Li-Sen Zhang Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis IEEE Access Thesaurus deep learning cloud-based enterprise resource planning system adaptive decision support management effectiveness |
| title | Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis |
| title_full | Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis |
| title_fullStr | Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis |
| title_full_unstemmed | Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis |
| title_short | Deep Learning-Based Optimization of Cloud Enterprise Resource Planning (ERP) Systems for Adaptive Decision Support and Management Effectiveness Analysis |
| title_sort | deep learning based optimization of cloud enterprise resource planning erp systems for adaptive decision support and management effectiveness analysis |
| topic | Thesaurus deep learning cloud-based enterprise resource planning system adaptive decision support management effectiveness |
| url | https://ieeexplore.ieee.org/document/10788717/ |
| work_keys_str_mv | AT lisenzhang deeplearningbasedoptimizationofcloudenterpriseresourceplanningerpsystemsforadaptivedecisionsupportandmanagementeffectivenessanalysis |