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 …
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches
Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …
research. However, the majority of AI approaches explored in this context afford little to no …
Non-cooperative behavior management in group decision making by a conflict resolution process and its implementation for pharmaceutical supplier selection
With the increasing popularity of Pharmaceutical Industry 4.0, products and services
provided by suppliers play a significantly important role for a pharmaceutical enterprise. To …
provided by suppliers play a significantly important role for a pharmaceutical enterprise. To …
A novel integrated fuzzy DEA–artificial intelligence approach for assessing environmental efficiency and predicting CO2 emissions
Undesirable output of industrial economic activities—carbon dioxide (CO2) and other
pollutants—has been become global concern because of their harmful effects on the …
pollutants—has been become global concern because of their harmful effects on the …
[HTML][HTML] The core of healthcare efficiency: a comprehensive bibliometric review on frontier analysis of hospitals
TCC Nepomuceno, L Piubello Orsini, VDH de Carvalho… - Healthcare, 2022 - mdpi.com
Parametric and non-parametric frontier applications are typical for measuring the efficiency
and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital …
and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital …
Generalized Dombi-based probabilistic hesitant fuzzy consensus reaching model for supplier selection under healthcare supply chain framework
The process of supplier selection in supply chain management is a multi-criteria decision-
making (MCDM) problem, characterized by several conflicting criteria. Despite the extensive …
making (MCDM) problem, characterized by several conflicting criteria. Despite the extensive …
Forecasting of weekly patient visits to emergency department: real case study
Emergency department (ED) is the most crowded entity in hospitals, because it is the access
point of almost all patients looking for care without beforehand appointment. Accordingly …
point of almost all patients looking for care without beforehand appointment. Accordingly …
Forecasting of BTC volatility: comparative study between parametric and nonparametric models
Bitcoin has rapidly gained much attention by media, investors and scholars, since it is widely
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …
Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms
S Çakır - Annals of Operations Research, 2024 - Springer
Efficiency measurement plays an increasingly important role in the regulation and
management of railway organizations. Despite its proven usefulness in efficiency …
management of railway organizations. Despite its proven usefulness in efficiency …
[PDF][PDF] Explainable Artificial Intelligence in Supply Chain Management: A Systematic Review of Neurosymbolic Approaches
Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …
research. However, the majority of AI approaches explored in this context afford little to no …