Robust Box Approach for Blood Supply Chain Network Design under Uncertainty: Hybrid Moth-Flame Optimization and Genetic Algorithm

Javid Ghahremani-Nahr (), Hamed Nozari () and Mehrnaz Bathaee ()

International Journal of Innovation in Engineering, 2021, vol. 1, issue 2, 40-62

Abstract: In this paper, a blood supply chain network (BSCN) is designed to reduce the total cost of the supply chain network under demand and transportation costs. The network levels considered for modeling include blood donation clusters, permanent and temporary blood transfusion centers, major laboratory centers and blood supply points. Other goals included determining the optimal number and location of potential facilities, optimal allocation of the flow of goods between the selected facilities and determining the most suitable transport route to distribute the goods to customer areas in uncertainty conditions. This study addresses the issue of blood prishability from blood sampling to distribution to customer demand areas. Given that the model was NP-hard, the MFGO algorithm were used to solve the model with a priority-based solution. The results of the design of the experiments showed the high efficiency of the MFGO algorithm in comparison with the PSO algorithm in finding efficient solutions. Also, the mean of the objective function in robust approach is more than the one in the deterministic approach, while the standard deviation of the first objective function in the robust approach is less than the one in the deterministic approach at all levels of the uncertainty factor.

Keywords: Blood Supply Chain Network; Perishability in Transport; MFGO algorithm; Robust Box Approach (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijie.ir/index.php/ijie/article/view/19/43 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bao:ijieis:v:1:y:2021:i:2:p:40-62:id:19

Access Statistics for this article

International Journal of Innovation in Engineering is currently edited by Mohammad Ebrahim Sadeghi

More articles in International Journal of Innovation in Engineering from International Scientific Network (ISNet)
Bibliographic data for series maintained by International Scientific Network (ISNet) ().