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A flexible robust model for blood supply chain network design problem

Soheyl Khalilpourazari1,2, Hossein Hashemi Doulabi1,2

  • 1Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, Canada.

Annals of Operations Research
|April 27, 2022
PubMed

Insights

This study presents a robust model for emergency blood supply chains, optimizing logistics during the COVID-19 pandemic. The model effectively handles uncertainties, reducing costs and delivery times for critical blood products.

Area of Science:

  • Operations Research
  • Supply Chain Management
  • Public Health Emergencies

Background:

  • COVID-19 pandemic caused significant disruptions to blood donation and supply chains globally.
  • Effective emergency blood supply chain design is crucial for managing blood shortages during crises.

Purpose of the Study:

  • To develop a novel multi-objective Transportation-Location-Inventory-Routing (TLIR) formulation for emergency blood supply chain network design.
  • To address strategic, operational, and tactical decisions under network disruptions and blood shelf-life constraints.
  • To propose uncertain models for risk-averse and robust solutions in dynamic environments.

Main Methods:

  • Development of a multi-objective TLIR mathematical formulation.
  • Introduction of two flexible uncertain models to handle parameter variability.
  • Application of the proposed formulations in a comprehensive case study with extensive worst-case analyses.

Main Results:

  • The robust model demonstrated superior efficiency in managing uncertainties compared to other approaches.
  • The proposed model significantly reduced costs and delivery times for blood products.
  • Worst-case analyses confirmed the robustness and reliability of the obtained solutions.

Conclusions:

  • The developed robust model provides an effective framework for designing resilient emergency blood supply chains.
  • Managerial insights are offered to enhance the overall effectiveness and efficiency of blood supply chain operations during emergencies.

Keywords:
Blood supply chainChance constraintFlexible programmingFlexible robust optimization

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