Designing pharmaceutical supply chain networks with perishable items considering congestion. - Shabnam Rekabi; Ali Ghodratnama; Amir Azaron (Oper. Res., 2022)

Designing a New Dry Port-Seaport Logistics Network with a Focus on Industry 5.0 by Machine Learning. - Shabnam Rekabi; Zeinab Sazvar; Alexandre Dolgui; Reza Tavakkoli-Moghaddam (APMS (3), 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 008 (Expert Syst. Appl., 2024)

Developing a green multi-modal dry port-seaport logistics network enhanced by the internet of things and machine learning. - Shabnam Rekabi; Zeinab Sazvar; Reza Tavakkoli-Moghaddam; Alexandre Dolgui (Comput. Ind. Eng., 2025)

A data-driven approach to optimize a blood supply chain within the Industry 5.0 framework: A stochastic optimization model. - Shabnam Rekabi; Zeinab Sazvar; Reza Tavakkoli-Moghaddam (Expert Syst. Appl., 2025)