Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics
A Fallahi, B Shahidi-Zadeh, STA Niaki - Soft Computing, 2023 - Springer
In recent years, the problem of extensive energy consumption and carbon emission in
manufacturing companies has been highlighted. Efficient scheduling strategies can help …
manufacturing companies has been highlighted. Efficient scheduling strategies can help …
Innovative applications of unsupervised learning in uncertainty-aware pharmaceutical supply chain planning
The significance of resiliency, reliability, and equity in the pharmaceutical supply chain is
often overlooked but becomes evident in the wake of disastrous events. Disruptive incidents …
often overlooked but becomes evident in the wake of disastrous events. Disruptive incidents …
Green health: how to decarbonise global healthcare systems
Healthcare systems are major emitters of greenhouse gases that contribute to climate
change. The resulting climate crisis harms human and planetary health and increasingly …
change. The resulting climate crisis harms human and planetary health and increasingly …
[HTML][HTML] Designing a new sustainable healthcare network considering the COVID-19 pandemic: Artificial intelligence-based solutions
NH Machiani, AA Taleizadeh, M Toloo… - Expert Systems with …, 2025 - Elsevier
The COVID-19 pandemic, which is still spreading its new mutations all around the world, is
considered a healthcare challenge around the world. The best approach to forestall this …
considered a healthcare challenge around the world. The best approach to forestall this …
[HTML][HTML] Design and optimization of a pharmaceutical supply chain network under COVID-19 pandemic disruption
R Rajabi, E Shadkam, SM Khalili - Sustainable Operations and Computers, 2024 - Elsevier
Efficient management of pharmaceutical supply chains during the COVID-19 pandemic is
critical to mitigate material and human losses. This paper addresses the design of a …
critical to mitigate material and human losses. This paper addresses the design of a …
An integrated blood supply chain network design during a pandemic
H Yang, Y Yin, D Wang, TCE Cheng… - International Journal of …, 2024 - Taylor & Francis
The emergency supply of blood in the wake of pandemic has proved challenging. We
develop in this paper a bi-objective blood supply chain (BSC) model that uses two-stage …
develop in this paper a bi-objective blood supply chain (BSC) model that uses two-stage …
Designing a resilient supply chain network: A multi-objective data-driven distributionally robust optimization method
S Chen, Y Chen - Computers & Operations Research, 2024 - Elsevier
Uncertainty of supply chain disruption poses a significant challenge to decision-making in
many real-life problems. In this paper, a new multi-objective data-driven distributionally …
many real-life problems. In this paper, a new multi-objective data-driven distributionally …
An exact criterion space search algorithm for a bi-objective blood collection problem
S Esmaeili, M Bashiri, A Amiri - European Journal of Operational Research, 2023 - Elsevier
Blood shortages are one of the main challenges in blood supply chains. To supply required
blood, blood center managers face conflicting collection objectives involving costs and …
blood, blood center managers face conflicting collection objectives involving costs and …
A robust location-allocation model for optimizing a multi-echelon blood supply chain network under uncertainty
Designing and planning blood supply chains is very complicated due to its uncertain nature,
such as uncertain blood demand, high vulnerability to disruptions, irregular donation, and …
such as uncertain blood demand, high vulnerability to disruptions, irregular donation, and …
Joint decisions on inventory classification, supplier selection and production policy for a multi-item EPQ inventory system under uncertainty
F Keramati, H Mokhtari… - Journal of Quality …, 2022 - journals.shahed.ac.ir
There is a great need to improve the classical inventory models so that they can address
real-world problems more properly. The presence of multiple products and a variety of …
real-world problems more properly. The presence of multiple products and a variety of …