Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges

A Nguyen, S Lamouri, R Pellerin… - … Journal of Production …, 2022 - Taylor & Francis
In recent years, data analytics in pharmaceutical supply chains has aroused much interest
as it has the potential of enabling better supply and management of healthcare products by …

On the use of logistics data to anticipate drugs shortages through data mining

A Nguyen, O Bougacha, B Lekens, S Lamouri… - Procedia Computer …, 2023 - Elsevier
Drugs shortages have become a major issue affecting healthcare systems worldwide. With
the growing use of electronic records, data analytics techniques have been identified as a …

Research on resource allocation methods for traditional Chinese medicine services based on deep reinforcement learning

Y Ma, X Fang, J Qi, Y Sun - Neural Computing and Applications, 2024 - Springer
Chinese medicine resources are the crystallization of traditional Chinese culture, and more
and more people are choosing Chinese medicine services for their health. To address the …

Reinforcement learning approaches for the orienteering problem with stochastic and dynamic release dates

Y Li, C Archetti, I Ljubić - Transportation Science, 2024 - pubsonline.informs.org
In this paper, we study a sequential decision-making problem faced by e-commerce carriers
related to when to send out a vehicle from the central depot to serve customer requests and …

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' …

A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems

MSE Martins, J Sousa, S Vieira - Applied Sciences, 2025 - mdpi.com
This paper presents a systematic review on reinforcement learning approaches for
combinatorial optimization problems based on real-world industrial applications. While this …

Contribution à la valorisation des données textuelles libres dans le secteur de la santé

A Nguyen - 2022 - hal.science
Récemment, les systèmes de santé ont été confrontés à de nombreux défis (gestion
d'épidémie, demande volatile, condensation des temps de prise en charge, etc.) …

Paketbox? Yes box!: Skillnader och likheter vid kunders användning av paketbox som leveransalternativ vid e-handel från apoteks-respektive modebranschen

C Kempe Sjöström, H Sackbrook - 2022 - diva-portal.org
De senaste åren har kantats av en ökad e-handel samt allt högre krav från kunder på
leveransalternativ. Paketbox är ett leveransalternativ som ökar alltmer i popularitet men är i …

Risk and Weightage Based Route Prediction System Using Machine Learning: A Review

S Kesh, GSM Thakur - 2022 International Interdisciplinary …, 2022 - ieeexplore.ieee.org
Transportation is the key context ingredient in modern life. Optimised route prediction is the
vital aspect for commercial enterprises and individuals also. Proper route prediction not only …

[PDF][PDF] Circular and sustainable supply chain in the pharmaceutical industry

AMA Mohamed - researchgate.net
Introduction globalisation has dramatically changed the business landscape due to
emerging technologies and increased transparency. Among various aspects, sustainability …