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, cilt.19, sa.7, ss.5407-5446, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 7
  • Basım Tarihi: 2023
  • Doi Numarası: 10.3934/jimo.2022179
  • Dergi Adı: JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
  • Derginin Tarandığı İndeksler: 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
  • Sayfa Sayıları: ss.5407-5446
  • Anahtar Kelimeler: Blood and blood products, blood bank, genetic algorithm, mixed-integer nonlinear programming, supply chain network design, VARIABLE NEIGHBORHOOD SEARCH, VEHICLE-ROUTING PROBLEM, DISTRIBUTION CENTERS, LOCATION, ALLOCATION, OPTIMIZATION, COLLECTION, MANAGEMENT, MODEL, EFFICIENT
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

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.