A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey


Agac G., Baki B., Ar I. M. , Kahraman H. T.

JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, vol.0, no.0, pp.1-25, 2022 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 0 Issue: 0
  • Publication Date: 2022
  • Doi Number: 10.3934/jimo.2022179
  • Journal Name: JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, MathSciNet, zbMATH
  • Page Numbers: pp.1-25
  • Karadeniz Technical University Affiliated: Yes

Abstract

<p style='text-indent:20px;'>In the paper, a novel mathematical model for blood supply chain network and a variant of Genetic Algorithm for the problem are proposed. The proposed mathematical model is developed using Mixed-integer nonlinear programming. The model is designed as a location, allocation, and routing problem that includes determining locations of local blood centers, assigning transfusion and blood donation centers to predetermined local blood centers, and routing between them. Eventually, a case study is conducted in the Eastern Black Sea Region of Turkish Red Crescent to illustrate the practicality and validity of the proposed model.</p>