[HTML][HTML] Integrating Perishables into Closed-Loop Supply Chains: A Comprehensive Review
In an era where sustainability and efficient resource utilization are paramount, the closed-
loop supply chain (CLSC) emerges as a critical approach, particularly in the context of …
loop supply chain (CLSC) emerges as a critical approach, particularly in the context of …
Designing a sustainable reverse supply chain network for COVID-19 vaccine waste under uncertainty
The vast nationwide COVID-19 vaccination programs are implemented in many countries
worldwide. Mass vaccination is causing a rapid increase in infectious and non-infectious …
worldwide. Mass vaccination is causing a rapid increase in infectious and non-infectious …
[HTML][HTML] A mixed-integer linear programming model for sustainable blood supply chain problems with shelf-life time and multiple blood types
The blood supply chain (BSC) is a complex system with optimization challenges, whose
activities impact carbon emissions and the environment, especially with regard to the …
activities impact carbon emissions and the environment, especially with regard to the …
A discrete differential evolution with local search particle swarm optimization to direct angle and aperture optimization in IMRT treatment planning problem
Intensity-modulated radiation therapy is a well-known technique for treating cancer patients
worldwide. A treatment plan in this technique requires decision-making for three main …
worldwide. A treatment plan in this technique requires decision-making for three main …
A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply …
Fluctuations in supply chains' input, such as demand, purchasing, transportation, and
production costs, could negatively affect the supply chain's efficiency and responsiveness …
production costs, could negatively affect the supply chain's efficiency and responsiveness …
Robust optimization of a closed-loop supply chain network based on an improved genetic algorithm in an uncertain environment
J Sun, Z Chen, Z Chen, X Li - Computers & Industrial Engineering, 2024 - Elsevier
Aiming at the network structure design problems of facility location, path planning, and flow
distribution in an e-commerce closed-loop supply chain network under an uncertain …
distribution in an e-commerce closed-loop supply chain network under an uncertain …
Blood plasma supply chain planning to respond COVID-19 pandemic: a case study
The COVID-19 pandemic causes a severe threat to human lives worldwide. Convalescent
plasma as supportive care for COVID-19 is critical in reducing the death rate and staying in …
plasma as supportive care for COVID-19 is critical in reducing the death rate and staying in …
[PDF][PDF] Direct aperture optimization for intensity modulated radiation therapy: Two calibrated metaheuristics and liver cancer case study
Integrated treatment planning for cancer patients has high importance in intensity modulated
radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent …
radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent …
An Economic Production Quantity Model with Probabilistic Machine Breakdown and Multiple Shipments Policy
SA Taheri, H Mokhtari, A Fallahi - Journal of Industrial Management …, 2021 - jimp.sbu.ac.ir
The classical economic production quantity (EPQ) model was developed to manage
inventory costs in companies last decade ago. This model is extended in various directions …
inventory costs in companies last decade ago. This model is extended in various directions …
Blood supply chain network design considering responsiveness and reliability in conditions of uncertainty using the lagrangian relaxation algorithm
A Hamidieh, A Johari - International journal of research in industrial …, 2022 - riejournal.com
The growing need for adequate and safe blood and the high costs of health systems have
prompted governments to improve the functioning of health systems. One of the most critical …
prompted governments to improve the functioning of health systems. One of the most critical …