A Multi-Objective Possibilistic Model to Platelet Supply Chain Network Design Considering Uncertainty in Demand and Number of Donors

Document Type : Research/ Original/ Regular Article

Authors

1 Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Master's degree in Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

In recent years, the need for blood and its products has increased due to various reasons including traffic accidents, natural disasters, spread of diseases such as cancer, etc. A very important issue regarding blood and blood products is their perishability. Excessive blood collection causes waste, while insufficient blood supply leads to shortages at demand points, which can result in irreparable costs. Given that the supply of blood from donors is not regular and continuous and the demand for blood products is not certain in the real world, appropriate planning for the collection and production of blood and its products has attracted the attention of many researchers. Among blood products, platelets are the most perishable blood product, with a lifespan of five days. In this paper, a mixed linear programming (MILP) model under supply and demand uncertainty is presented for the integrated design problem of platelet collection and production network in blood supply chain, which aims to minimize the total network costs and maximize the quality of platelets produced. The specific characteristics of this blood product, such as types of donors and two    different platelet production methods (whole blood and apheresis), are considered. In order to solve the model using a probabilistic programming approach, the initial non-deterministic model is converted into a deterministic model and the model is solved exactly by the CPLEX solver in GAMS. The efficiency of the model is demonstrated with a case study related to the blood network of Tehran.
 

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References

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Supply Chain Management
Volume 26, Issue 85 - Serial Number 85
Serial number 85. Winter 2025
March 2025
Pages 69-87

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History

  • Receive Date: 02 December 2024
  • Revise Date: 12 January 2025
  • Accept Date: 11 February 2025
  • Publish Date: 10 March 2025

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