Blood supply chain location-inventory problem considering incentive programs: comparison and analysis of NSGA-II, NRGA and electromagnetic algorithms

• Published in: Neural computing & applications Vol. 36; no. 31; pp. 19469 - 19487
• Main Authors: Alikhani, Tayebeh, Dezfoulian, Hamidreza, Samouei, Parvaneh
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2024; Springer Nature B.V
• Subjects: Artificial Intelligence; Blood; Blood & organ donations; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Cost analysis; Data Mining and Knowledge Discovery; Genetic algorithms; Heuristic methods; Image Processing and Computer Vision; Indicators; Original Article; Probability and Statistics in Computer Science; Sorting algorithms; Supply chains; Supply-demand equilibrium; NSGA-II; Electromagnetic algorithm; NRGA; Incentive programs; Blood supply chain design

Problem Blood is a rare perishable substance with limited life in the real world and blood supply chain management is a vital subject. Hence, it is trying to design an efficient supply chain network to create a balance between blood supply and demand, particularly in deficient conditions. One effect...