A SUPPLY CHAIN NETWORK DESIGN FOR BLOOD AND ITS PRODUCTS USING GENETIC ALGORITHM: A CASE STUDY OF TURKEY
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, vol.19, no.7, pp.5407-5446, 2023 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 19 Issue: 7
- Publication Date: 2023
- 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.5407-5446
- Keywords: 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 Technical University Affiliated: Yes
Abstract
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.