Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach

D Pamucar, AE Torkayesh, S Biswas - Annals of Operations Research, 2023 - Springer
Due to the high necessity of medical face masks and face shields during the COVID-19
pandemic, healthcare centers dealing with infected patients have faced serious challenges …

Integration of blockchain-enabled closed-loop supply chain and robust product portfolio design

A Goli - Computers & Industrial Engineering, 2023 - Elsevier
Blockchain technology is one of the latest financial concepts influencing international trades,
which contributes to speeding the supply chains by managing faster and more accurate …

Quantum fuzzy neural network for multimodal sentiment and sarcasm detection

P Tiwari, L Zhang, Z Qu, G Muhammad - Information Fusion, 2024 - Elsevier
Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms

EB Tirkolaee, A Goli, S Gütmen, GW Weber… - Annals of Operations …, 2023 - Springer
Municipal solid waste (MSW) management is known as one of the most crucial activities in
municipalities that requires large amounts of fixed/variable and investment costs. The …

Sustainable supply chain network design using products' life cycle in the aluminum industry

SM Pahlevan, SMS Hosseini, A Goli - Environmental science and pollution …, 2021 - Springer
This study provides a three-objective mixed-integer linear mathematical model to design a
sustainable closed-loop supply chain network in the aluminum industry. In this regard, the …

Application of optimization methods in the closed-loop supply chain: a literature review

LS Oliveira, RL Machado - Journal of Combinatorial Optimization, 2021 - Springer
An essential aspect of a closed-loop supply chain (CLSC) involves its optimization. In this
context, systematizing the publications on optimization methods applied in CLSC constitutes …

An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study

A Goli, H Khademi-Zare… - … computation in neural …, 2021 - Taylor & Francis
This research specifically addresses the prediction of dairy product demand (DPD). Since
dairy products have a short consumption period, it is important to have accurate information …

A new bi-objective green medicine supply chain network design under fuzzy environment: Hybrid metaheuristic algorithms

F Goodarzian, SF Wamba, K Mathiyazhagan… - Computers & industrial …, 2021 - Elsevier
This paper studies the design of the green medicine supply chain network under uncertainty,
which integrates allocation, location, production, distribution, routing, inventory, and …

A flexible robust model for blood supply chain network design problem

S Khalilpourazari, H Hashemi Doulabi - Annals of operations research, 2023 - Springer
Abstract World Health Organization (WHO) declared COVID-19 as a pandemic On March 12,
2020. Up to January 13, 2022, 320,944,953 cases of infection and 5,539,160 deaths have …

CFN: A complex-valued fuzzy network for sarcasm detection in conversations

Y Zhang, Y Liu, Q Li, P Tiwari, B Wang… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …