[PDF][PDF] A review of digital twin applications in construction.
The emergence of digital twin technology presents tremendous opportunities for several
industry sectors. A digital twin is defined as the virtual representation of a physical asset that …
industry sectors. A digital twin is defined as the virtual representation of a physical asset that …
Modelling and analysis of inventory management systems in healthcare: A review and reflections
Inventory management in a healthcare system needs to be compatible with its operations
and critical characteristics ensuring minimization of inventory-related cost as well as …
and critical characteristics ensuring minimization of inventory-related cost as well as …
Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis
The main objective of this study is to propose a network data envelopment analysis (NDEA)
model and a deep learning approach for forecasting the sustainability of healthcare supply …
model and a deep learning approach for forecasting the sustainability of healthcare supply …
A novel particle swarm optimization approach for patient clustering from emergency departments
In this paper, a novel particle swarm optimization (PSO) algorithm is proposed in order to
improve the accuracy of traditional clustering approaches with applications in analyzing real …
improve the accuracy of traditional clustering approaches with applications in analyzing real …
Capacity planning and reconfiguration for disaster-resilient health infrastructure
Disasters are becoming increasingly frequent, calamitous, and expensive. The constant
increase of disasters and more exposure of people, facilities, built environment and assets …
increase of disasters and more exposure of people, facilities, built environment and assets …
A lean approach to healthcare management using multi criteria decision making
Recent challenges induced by the global pandemic COVID-19 have highlighted the critical
importance of coping with a sudden surge in demand for front line healthcare services …
importance of coping with a sudden surge in demand for front line healthcare services …
A systematic review of research design and modeling techniques in inpatient bed management
L He, SC Madathil, A Oberoi, G Servis… - Computers & Industrial …, 2019 - Elsevier
The proper allocation of limited hospital bed resources is a complex problem caused by
uncertainties in patient length of stay, fluctuations in demands, unexpected admission …
uncertainties in patient length of stay, fluctuations in demands, unexpected admission …
DEMATEL-modified ANP to evaluate internal hospital supply chain performance
T Supeekit, T Somboonwiwat, D Kritchanchai - Computers & Industrial …, 2016 - Elsevier
Previous measurement of hospital supply chain performance independently measure the
performance groups of patient safety and hospital supply chain efficiency which include …
performance groups of patient safety and hospital supply chain efficiency which include …
A PSO-based deep learning approach to classifying patients from emergency departments
In this paper, a deep belief network (DBN) is employed to deal with the problem of the
patient attendance disposal in accident & emergency (A&E) departments. The selection of …
patient attendance disposal in accident & emergency (A&E) departments. The selection of …
Forecasting emergency department overcrowding: A deep learning framework
As the demand for medical cares has considerably expanded, the issue of managing patient
flow in hospitals and especially in emergency departments (EDs) is certainly a key issue to …
flow in hospitals and especially in emergency departments (EDs) is certainly a key issue to …