Search Results - "Rekabi, Shabnam" :: K.UTB vyhledávací portál

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A bi-objective sustainable vehicle routing optimization model for solid waste networks with internet of things

by Rekabi, Shabnam, Sazvar, Zeinab, Goodarzian, Fariba
Published in Supply Chain Analytics (01.03.2024)

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A home healthcare routing-scheduling optimization model considering time-balancing and outsourcing

by Rekabi, Shabnam, Moradi, Babak, Salamian, Farima, Fadavi, Niloofar, Zokaee, Mahsa, Aghsami, Amir
Published in Supply Chain Analytics (01.09.2024)

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Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method

by Rekabi, Shabnam, Garjan, Hossein Shokri, Goodarzian, Fariba, Pamucar, Dragan, Kumar, Anil
Published in Expert systems with applications (01.07.2024)

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Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

by Abbasi, Sina, Vlachos, Ilias, Rekabi, Shabnam, Talooni, Mohammad
Published in Sustainability (01.11.2023)

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Designing pharmaceutical supply chain networks with perishable items considering congestion

by Rekabi, Shabnam, Ghodratnama, Ali, Azaron, Amir
Published in Operational research (01.09.2022)

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A machine learning model with linear and quadratic regression for designing pharmaceutical supply chains with soft time windows and perishable products

by Rekabi, Shabnam, Sazvar, Zeinab, Goodarzian, Fariba
Published in Decision analytics journal (01.12.2023)

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A data-driven mathematical model to design a responsive-sustainable pharmaceutical supply chain network: a Benders decomposition approach

by Rekabi, Shabnam, Goodarzian, Fariba, Garjan, Hossein Shokri, Zare, Fatemeh, Muñuzuri, Jesús, Ali, Irfan
Published in Annals of operations research (12.12.2023)

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Journal Article

A bi-objective sustainable vehicle routing optimization model for solid waste networks with internet of things

A home healthcare routing-scheduling optimization model considering time-balancing and outsourcing

Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Designing pharmaceutical supply chain networks with perishable items considering congestion

A machine learning model with linear and quadratic regression for designing pharmaceutical supply chains with soft time windows and perishable products

A data-driven mathematical model to design a responsive-sustainable pharmaceutical supply chain network: a Benders decomposition approach

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