Article: Multi-objective robust planning approach to the problem of locating the allocation of organ transplant centres under conditions of uncertainty Journal: International Journal of Value Chain Management (IJVCM) 2024 Vol.15 No.1 pp.41 - 68 Abstract: This study highlights the crucial role of organ transplantation in healthcare, underscoring its vulnerability to corruption and the importance of timely processes and strategic selection of transplant centre locations. Our study introduces a robust mathematical model aiming to optimise hospitals and organ transplant centres' locations, transportation strategies, and the flow of information and organs. The objectives are to minimise the overall cost of the organ transplant system and reduce the average waiting time for patients, using a G/G/m queue system for modelling. To tackle this model, the non-dominated sorting genetic algorithm (NSGA-II) is employed, ensuring an effective solution-finding process amid uncertainties. The results highlight the practicality of the model and the effectiveness of the algorithm, providing valuable insights for policymakers, organ transplant centres, and hospitals managers in optimising organ transplant supply chains under uncertain conditions. Inderscience Publishers - linking academia, business and industry through research

Title: Multi-objective robust planning approach to the problem of locating the allocation of organ transplant centres under conditions of uncertainty

Authors: Mahdi Yousefi Nejad Attari; Zohreh Khalilpourshiraz; Fahime Lotfian Delouyi; Elham Nejati

Addresses: Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran ' Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran ' Department of Mechanical Engineering, Faculty of Engineering, University of Zabol, Zabol, Iran ' Department of Industrial Engineering, Islamic Azad University, Bonab Branch, Bonab, Iran

Abstract: This study highlights the crucial role of organ transplantation in healthcare, underscoring its vulnerability to corruption and the importance of timely processes and strategic selection of transplant centre locations. Our study introduces a robust mathematical model aiming to optimise hospitals and organ transplant centres' locations, transportation strategies, and the flow of information and organs. The objectives are to minimise the overall cost of the organ transplant system and reduce the average waiting time for patients, using a G/G/m queue system for modelling. To tackle this model, the non-dominated sorting genetic algorithm (NSGA-II) is employed, ensuring an effective solution-finding process amid uncertainties. The results highlight the practicality of the model and the effectiveness of the algorithm, providing valuable insights for policymakers, organ transplant centres, and hospitals managers in optimising organ transplant supply chains under uncertain conditions.

Keywords: supply chain management; SCM; organ transplantation; multi-objective optimisation; queuing theory; NSGA-II algorithm.

DOI: 10.1504/IJVCM.2024.140357

International Journal of Value Chain Management, 2024 Vol.15 No.1, pp.41 - 68

Received: 08 Sep 2023
Accepted: 27 Nov 2023
Published online: 05 Aug 2024 *

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Title: Multi-objective robust planning approach to the problem of locating the allocation of organ transplant centres under conditions of uncertainty

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