[HTML][HTML] Optimization of inventory management through computer vision and machine learning technologies
W Villegas-Ch, AM Navarro, S Sanchez-Viteri - Intelligent Systems with …, 2024 - Elsevier
This study presents implementing and evaluating a computer vision platform to optimize
warehouse inventory management. Integrating machine learning and computer vision …
warehouse inventory management. Integrating machine learning and computer vision …
Integration of machine learning in the supply chain for decision making: A systematic literature review
Purpose: This study presents a systematic literature review that provides a broad and holistic
view of how machine learning can be used and integrated to enhance decision-making in …
view of how machine learning can be used and integrated to enhance decision-making in …
Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes
E Potters, B Mosalla Nezhad… - International …, 2024 - Wiley Online Library
The significance of last‐mile logistics in the healthcare supply chain is growing steadily,
especially in pharmacies where the growing prevalence of medication delivery to patients' …
especially in pharmacies where the growing prevalence of medication delivery to patients' …
Reinforcement learning for the supply chain dynamics problem with production capacity constraints and non-stationary demand
V Fichera, L Longo, RR Corsini… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
Today, thanks to the development of technologies, it is possible to collect real-time data on
material flows within the supply chain. This extensive database represents an opportunity for …
material flows within the supply chain. This extensive database represents an opportunity for …
Leveraging reinforcement learning and evolutionary strategies for dynamic multi objective decision making in supply chain management
Y Qiu, N Kotecha, A del Rio Chanona - IFAC-PapersOnLine, 2024 - Elsevier
Reinforcement learning (RL) has been widely applied in supply chain management due to
its performance in dynamic, uncertain environments. However, most RL studies focus on a …
its performance in dynamic, uncertain environments. However, most RL studies focus on a …
[PDF][PDF] A DEEP LEARNING APPROACH FOR PRODUCT DEMAND PREDICTION IN DYNAMIC MARKETS
S Esposito - 2024 - upubscience.com
This paper investigates the application of deep learning techniques for product demand
prediction in dynamic markets, addressing the growing need for accurate forecasting in …
prediction in dynamic markets, addressing the growing need for accurate forecasting in …
[PDF][PDF] Pharmaceutical Cold Supply Chain Management Considering Medication Synchronization and Different Delivery Modes
A Asadia, E Pottersa, E Hansa, V Huiskesb - essay.utwente.nl
Last-mile logistics in the healthcare supply chain is becoming increasingly important,
especially in pharmacies where medication delivery to patients' homes is becoming …
especially in pharmacies where medication delivery to patients' homes is becoming …