Author:
Jami Mohsen,Izadbakhsh Hamidreza,Arshadi Khamseh Alireza
Abstract
Purpose
This study aims to minimize the cost and time of blood delivery in the whole blood supply chain network (BSCN) in disaster conditions. In other words, integrating all strategic, tactical and operational decisions of three levels of blood collection, processing and distribution leads to satisfying the demand at the right time.
Design/methodology/approach
This paper proposes an integrated BSCN in disaster conditions to consider four categories of facilities, including temporary blood collection centers, field hospitals, main blood processing centers and medical centers, to optimize demand response time appropriately. The proposed model applies the location of all permanent and emergency facilities in three levels: blood collection, processing and distribution. Other essential decisions, including multipurpose facilities, emergency transportation, inventory and allocation, were also used in the model. The LP metric method is applied to solve the proposed bi-objective mathematical model for the BSCN.
Findings
The findings show that this model clarifies its efficiency in the total cost and blood delivery time reduction, which results in a low carbon transmission of the blood supply chain.
Originality/value
The researchers proposed an integrated BSCN in disaster conditions to minimize the cost and time of blood delivery. They considered multipurpose capabilities for facilities (e.g. field hospitals are responsible for the three purposes of blood collection, processing and distribution), and so locating permanent and emergency facilities at three levels of blood collection, processing and distribution, support facilities, emergency transportation and traffic on the route with pollution were used to present a new model.
Reference54 articles.
1. A robust location-allocation model for optimizing a multi-echelon blood supply chain network under uncertainty,2023
2. Modeling and simulation of blood collection systems;Health Care Management Science,2012
3. Scenario-based simulation approach for an integrated inventory blood supply chain system,2020
4. Designing blood supply chain network in disaster situation considering blood groups and expiration date,2020
5. Investigating the conflicts between different stakeholders’ preferences in a blood supply chain at emergencies: a trade-off between six objectives;Soft Computing,2021