Designing a sustainable bioethanol supply chain network: A combination of machine learning and meta-heuristic algorithms

Autor: Momenitabar, Mohsen, Dehdari Ebrahimi, Zhila, Ghasemi, Peiman

Publikováno v: In Industrial Crops & Products 1 December 2022 189

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply.

Autor: Momenitabar, Mohsen¹ (AUTHOR) Mohsen.momenitabar@ndsu.edu, Dehdari Ebrahimi, Zhila¹ (AUTHOR), Arani, Mohammad² (AUTHOR), Mattson, Jeremy¹ (AUTHOR)

Publikováno v: Annals of Operations Research. Sep2023, Vol. 328 Issue 1, p859-901. 43p.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply.

Autor: Momenitabar M; Department of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58105 USA., Dehdari Ebrahimi Z; Department of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58105 USA., Arani M; Department of Systems Engineering, The University of Arkansas at Little Rock, Little Rock, AR 72204 USA., Mattson J; Department of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58105 USA.

Publikováno v: Annals of operations research [Ann Oper Res] 2022 Sep 17, pp. 1-43. Date of Electronic Publication: 2022 Sep 17.