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 …

Innovative applications of unsupervised learning in uncertainty-aware pharmaceutical supply chain planning

F Kochakkashani, V Kayvanfar, R Baldacci - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

Green health: how to decarbonise global healthcare systems

J Mirow, J Venne, A Brand - Sustainable Earth Reviews, 2024 - Springer
Healthcare systems are major emitters of greenhouse gases that contribute to climate
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 …

[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 …

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 …

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 …

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 …

A robust location-allocation model for optimizing a multi-echelon blood supply chain network under uncertainty

MA Ahmadchali, M Ebrahimzadeh-Afrouzi, N Javadian… - OPSEARCH, 2024 - Springer
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 …

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 …