Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal International Journal of Enterprise Modelling
Ahderom Rengga
Eritrea Institute of Technology, Eritrea
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Transportation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Enhancing Supply Chain Network Design: Integration of Hybrid Artificial Intelligence and Real-Time Data for Dynamic Optimization Ahderom Rengga
International Journal of Enterprise Modelling Vol. 13 No. 2 (2019): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.474 KB) | DOI: 10.35335/emod.v13i2.11

Abstract

This research focuses on enhancing supply chain network design through the integration of hybrid artificial intelligence (AI) and real-time data for dynamic optimization. The objective is to develop a mathematical formulation and model that minimize costs while meeting demand and capacity requirements. The research proposes the integration of hybrid AI techniques, such as machine learning and optimization algorithms, with real-time data to enable data-driven decision-making and adaptability to changing market conditions. The implementation involves collecting and processing real-time data from various sources and utilizing AI algorithms to optimize facility locations, transportation routes, and inventory allocation. A numerical example demonstrates the application of the model, showcasing cost savings and improved customer service. However, the research has limitations, including simplified assumptions, data quality concerns, scalability challenges, and the limited scope of considered factors. Despite these limitations, the findings highlight the potential benefits of integrating hybrid AI and real-time data in supply chain network design, offering insights for practitioners and future research directions.
Co-Authors