Fariba Goodarzian

dblp:248/0223 · DBLP profile ↗
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10ranked-venue papers
3as first author
10since 2021 · last 2025
0000-0001-9295-1839ORCID · verified

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Artificial intelligence and machine learning · 10 · 3 first-author · 10 since 2021
YearPublicationVenuePosition
2025 Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic
abstract
The quantity of medical waste produced by municipalities is on the rise, potentially presenting significant hazards to both the environment and human health. Developing a robust supply chain network for managing municipal medical waste is important for society, especially during a pandemic like COVID-19. In supply chain network design, factors such as the collection of non-infectious waste, transporting infectious waste from hospitals to disposal facilities, revenue generation from waste-to-energy initiatives, and the potential for pandemic outbreaks are often overlooked. Hence, in this study, we design a model incorporating COVID-19 parameters to mitigate the spread of the virus while designing an effective municipal medical waste supply chain network during a pandemic. The proposed model is multi-objective, multi-echelon, multi-commodity and involves coalition-based cooperation. The first objective function aims to minimize total costs, while the second objective pertains to minimizing the risk of a COVID-19 outbreak. We identify optimal collaboration among municipal medical waste collection centers to maximize cost savings. The COVID-19 prevalence risk level by the waste in each zone is calculated pursuant to their inhabitants. Additionally, we analyze a system dynamic simulation framework to forecast waste generation levels amid COVID-19 conditions. A metaheuristic based on the Non-dominated Sorting Genetic Algorithm II is used to solve the problem and is benchmarked against exact solutions. To illustrate our approach, we present a case study focused on Tehran, Iran. The results show that an increase in the amount of generated waste leads to an increase in the total costs of the supply chain.
Peiman Ghasemi, Alireza Goli, Fariba Goodarzian, Jan Fabian Ehmke
Eng. Appl. Artif. Intell.3
2024 Portfolio optimization in the stock market under disruptions: Real case studies of COVID-19 pandemic and currency risk
Amir Hossein Kamali, Seyed Hossein Iranmanesh, Fariba Goodarzian
Eng. Appl. Artif. Intell.3
2024 Energy-efficient routing protocol for underwater wireless sensor networks using a hybrid metaheuristic algorithm
Behzad Saemi, Fariba Goodarzian
Eng. Appl. Artif. Intell.2
2024 Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method
Shabnam Rekabi, Hossein Shokri Garjan, Fariba Goodarzian, Dragan Pamucar, Anil Kumar 0008
Expert Syst. Appl.3
2023 Designing a new sustainable Test Kit supply chain network utilizing Internet of Things
Ali Navaei, Ata Allah Taleizadeh, Fariba Goodarzian
Eng. Appl. Artif. Intell.3
2023 Designing a dual-channel closed loop supply chain network using advertising rate and price-dependent demand: Case study in tea industry
Mehran Gharye Mirzaei, Fariba Goodarzian, Kourosh Mokhtari, Morteza Yazdani, Alireza Shokri
Expert Syst. Appl.2
2022 A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm
Abdollah Babaeinesami, Hamid Tohidi, Peiman Ghasemi, Fariba Goodarzian, Erfan Babaee Tirkolaee
Appl. Intell.4
2022 A new modified social engineering optimizer algorithm for engineering applications
Fariba Goodarzian, Peiman Ghasemi, Vikas Kumar 0001, Ajith Abraham
Soft Comput.1
2021 An integrated sustainable medical supply chain network during COVID-19
Fariba Goodarzian, Ata Allah Taleizadeh, Peiman Ghasemi, Ajith Abraham
Eng. Appl. Artif. Intell.1
2021 Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics
Fariba Goodarzian, Vikas Kumar 0001, Ajith Abraham
Soft Comput.1