COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia
Crisis-induced vaccine supply chain management has recently drawn attention to the
importance of immediate responses to a crisis (eg, the COVID-19 pandemic). This study …
importance of immediate responses to a crisis (eg, the COVID-19 pandemic). This study …
A sustainable model for municipal solid waste system considering global warming potential impact: A case study
Economic development and rising urbanization rates have generated large amounts of
municipal solid waste (MSW). Also, over the past few decades, inefficient waste …
municipal solid waste (MSW). Also, over the past few decades, inefficient waste …
[HTML][HTML] Integrated planning for a global pharmaceutical supply chain: an ambidexterity perspective
M Yousefi Sarmad, MS Pishvaee, H Jahani… - Annals of Operations …, 2023 - Springer
Based on the concept of ambidexterity, we develop a multi-objective, multi-product, and
multi-period model to integrate planning for research and development (R&D) and …
multi-period model to integrate planning for research and development (R&D) and …
[HTML][HTML] Reorganization of a medical service network to manage pandemic waves: a real case study
S Ahadian, MS Pishvaee, H Jahani - Operations Research for Health Care, 2023 - Elsevier
During Covid-19, medical service networks (MSNs) faced new challenges, such as an
impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient …
impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient …
A sustainable municipal solid waste system under leachate treatment impact along with leakage control and source separation
Over the past few decades, inefficient waste management has caused environmental
problems, such as leachate leakage, high pollution in the surface and groundwater, and soil …
problems, such as leachate leakage, high pollution in the surface and groundwater, and soil …
Simheuristic and learnheuristic algorithms for the temporary-facility location and queuing problem during population treatment or testing events
C Bayliss, J Panadero - Journal of Simulation, 2024 - Taylor & Francis
Epidemic outbreaks, such as the one generated by the coronavirus disease, have raised the
need for more efficient healthcare logistics. One of the challenges that many governments …
need for more efficient healthcare logistics. One of the challenges that many governments …
An improved mixed-integer programming approach for bi-objective parallel machine scheduling and location
This paper investigates a new bi-objective parallel machine scheduling and location
problem: selecting locations for available machines, assigning jobs to these located …
problem: selecting locations for available machines, assigning jobs to these located …
A flexible closed loop supply chain design considering multi-stage manufacturing and queuing based inventory optimization
H Jahani, H Gholizadeh - IFAC-PapersOnLine, 2022 - Elsevier
In this study, a multi-objective nonlinear model is used to design a closed-loop supply chain
network. We consider a multi-period, multi-product and multi-stage manufacturing model by …
network. We consider a multi-period, multi-product and multi-stage manufacturing model by …
Prevention of post-pandemic crises: A green sustainable and reliable healthcare supply chain network design for emergency medical products
The COVID-19 pandemic happened exactly when no one expected it and many people died
due to the lack of medical equipment. Although pulse oximeters and thermometers were …
due to the lack of medical equipment. Although pulse oximeters and thermometers were …
Logic-based Benders decomposition for bi-objective parallel machine selection and job scheduling with release dates and resource consumption
This work addresses a new bi-objective parallel machine selection and job scheduling
problem with release dates and resource consumption. It consists in optimally selecting …
problem with release dates and resource consumption. It consists in optimally selecting …