Multi-objective design of an organ transplant network under uncertainty |
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Institution: | 1. IMT Atlantique, Lab-STICC, UBL, F-29238 Brest, France;2. Beedie School of Business, Simon Fraser University, Vancouver, Canada;3. Centre of Excellence in Supply Chain and Transportation (CESIT), KEDGE Business School, Bordeaux, France;4. Islamic Azad University, South Tehran Branch, Tehran, Iran |
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Abstract: | We propose a novel multi-period location–allocation model for the design of an organ transplant transportation network under uncertainty. The model consists of a bi-objective mathematical programming model that minimizes total cost and time, including waiting time in the queue for the transplant operation, while considering organs’ priorities. A fuzzy multi-objective programming based approach is presented to solve the small and medium size problems to optimality. For larger problems, we propose two meta-heuristics based algorithms. Lower bounds, and several numerical examples with managerial insights are discussed. A real case-study is provided, and the existing and the proposed optimal solutions are compared. |
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Keywords: | Healthcare network Multi-period organ transplant network Fuzzy multi-objective programming Queuing theory Meta-heuristics |
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