Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration

OA Adenekan, NO Solomon, P Simpa… - International Journal of …, 2024 - fepbl.com
This abstract delves into the realm of manufacturing productivity enhancement through the
review of AI-driven supply chain management (SCM) optimization and Enterprise Resource …

Supply chain integrating sustainability and ethics: Strategies for modern supply chain management

O Esan, FA Ajayi, O Olawale - World Journal of Advanced Research and …, 2024 - wjarr.com
This review paper explores the integration of sustainability and ethics in modern supply
chain management, emphasizing the need for organizations to align their operations with …

Managing global supply chain teams: human resource strategies for effective collaboration and performance

O Esan, FA Ajayi, O Olawale - GSC Advanced Research and …, 2024 - gsconlinepress.com
This study examines the role of human resource (HR) strategies in enhancing collaboration
and performance within global supply chains, an area of increasing importance in the …

Developing predictive models for HIV Drug resistance: A genomic and AI approach

CC Ebulue, OV Ekkeh, OR Ebulue… - … Science Research Journal, 2024 - fepbl.com
This paper proposes a novel approach to combating HIV drug resistance through the
development of predictive models leveraging genomic data and artificial intelligence (AI) …

Machine learning insights into HIV outbreak predictions in Sub-Saharan Africa

CC Ebulue, OV Ekkeh, OR Ebulue… - … Science Research Journal, 2024 - fepbl.com
Predicting and preventing HIV outbreaks in Sub-Saharan Africa, a region disproportionately
affected by the epidemic remains a significant challenge. This review explores the …

Integrative analysis of AI-driven optimization in HIV treatment regimens

JA Olaboye, CC Maha, TO Kolawole… - Computer Science & IT …, 2024 - fepbl.com
The integration of artificial intelligence (AI) into HIV treatment regimens has revolutionized
the approach to personalized care and optimization strategies. This study presents an in …

[HTML][HTML] Predictive analysis visualization component in simulated data streams

A Dudáš, D Demian - Discover Computing, 2024 - Springer
One of the most significant problems related to Big Data is their analysis with the use of
various methods from the area of descriptive statistics or machine and deep learning. This …

Cutting-Edge AI Approaches with MAS for PdM in Industry 4.0: Challenges and Future Directions

SY Baroud, NA Yahaya, AM Elzamly - Journal of Applied Data …, 2024 - bright-journal.org
Abstract Integrating Artificial Intelligence (AI) within Industry 4.0 has propelled the evolution
of fault diagnosis and predictive maintenance (PdM) strategies, marking a significant shift …

Innovations in real-time infectious disease surveillance using AI and mobile data

JA Olaboye, CC Maha, TO Kolawole… - … Medical Science Research …, 2024 - fepbl.com
The integration of artificial intelligence (AI) and mobile health data has ushered in a new era
of real-time infectious disease surveillance, offering unprecedented insights into disease …

[PDF][PDF] Human resource strategies for resilient supply chains in logistics and transportation: A critical review

O Esan, FA Ajayi, O Olawale - 2024 - ijsra.net
This study systematically reviews and analyzes the literature on Human Resource
Management (HRM) strategies for enhancing supply chain resilience in the logistics and …