AI in drug discovery and its clinical relevance
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges
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 …
as it has the potential of enabling better supply and management of healthcare products by …
Demand forecasting with supply‐chain information and machine learning: Evidence in the pharmaceutical industry
Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model
R Rathipriya, AA Abdul Rahman… - Neural Computing and …, 2023 - Springer
Demand forecasting is a scientific and methodical assessment of future demand for a critical
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …
Social media big data analytics for demand forecasting: development and case implementation of an innovative framework
R Iftikhar, MS Khan - Research Anthology on Big Data Analytics …, 2022 - igi-global.com
Social media big data offers insights that can be used to make predictions of products' future
demand and add value to the supply chain performance. The paper presents a framework …
demand and add value to the supply chain performance. The paper presents a framework …
Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis
Unplanned events such as epidemic outbreaks, natural disasters, or major scandals are
usually accompanied by supply chain disruption and highly volatile demand. Besides …
usually accompanied by supply chain disruption and highly volatile demand. Besides …
Coping with demand volatility in retail pharmacies with the aid of big data exploration
CI Papanagnou, O Matthews-Amune - Computers & Operations Research, 2018 - Elsevier
Data management tools and analytics have provided managers with the opportunity to
contemplate inventory performance as an ongoing activity by no longer examining only data …
contemplate inventory performance as an ongoing activity by no longer examining only data …
Short of drugs? Call upon operations and supply chain management
Purpose This “impact pathways” paper argues that operations and supply chain
management (OSCM) could help address the worsening drug shortage problem in high …
management (OSCM) could help address the worsening drug shortage problem in high …
Smart sales prediction of pharmaceutical products
Sales prediction is a predominant area in business intelligence. It plays a significant role in
supply chain management. Proper sales prediction is essential for pharma companies …
supply chain management. Proper sales prediction is essential for pharma companies …
Trends in optimization models of sales force management
S Albers, K Raman, N Lee - Journal of Personal Selling & Sales …, 2015 - Taylor & Francis
In the last half-century, significant advances have been made in directing sales force
behavior with the use of optimization and decision models. The present paper both presents …
behavior with the use of optimization and decision models. The present paper both presents …