Multi-objective design of an organ transplant network under uncertainty
The authors 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, they 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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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Zahiri, B
- Tavakkoli-Moghaddam, R
- Mohammadi, M
- Jula, P
- Publication Date: 2014-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 101-124
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 72
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Design methods; Heuristic methods; Location; Mathematical models; Medical services; Networks; Queuing theory; Uncertainty
- Uncontrolled Terms: Multi-objective programming; Organ donation
- Subject Areas: Design; Planning and Forecasting; Transportation (General); I20: Design and Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01548435
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 23 2014 12:07PM