Network Model for Optimal Aircraft Location for Human Organ Transportation Activities

Paganelli, Filippo; Mantecchini, Luca; Peritore, D.; Morabito, Vincenzo; Rizzato, Lucia; Costa, Alessandro Nanni

doi:10.1016/j.transproceed.2018.04.069

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…In the following, we review the articles that have the more similarity with the organ transplant supply chain. Paganelli et al [6] developed an integer linear programming formulation for the aircraft location problem in the Italian territory. They considered different time intervals and service design scenarios and compared performance indexes related to these time intervals and scenarios.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comprehensive Mathematical Model for Designing an Organ Transplant Supply Chain Network under Uncertainty

Rabbani

2019

IJE

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One of the most important issues in area of health and hygiene is location-allocation of organ harvesting centers and transplant centers according to coordination between supply and demand. In this paper, a mathematical model is presented for location-allocation of organ harvesting centers and transplant centers. The proposed model does not only minimize the present value of the total system costs, but also minimizes the geographical inequalities. The presented model is a bi-objective nonlinear mathematical programming and some of the problem parameters, such as cost, transport time and the like are associated with uncertainty and considered as fuzzy sets in the mathematical formulation. In this paper, an Organ Transplant Supply Chain (OTSC) has been designed and the ε-constraint method has been used to solve the problem and Iran is considered as a case study. The results show that the patient's family satisfaction rate is more important than the viability rate in the number of transplant operations performed and for a transplant operation to be performed, the minimum satisfaction rate () should be 0.4 and organ viability rate () should be 0.2.

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Section: Literature Reviewmentioning

confidence: 99%

A Comprehensive Mathematical Model for Designing an Organ Transplant Supply Chain Network under Uncertainty

Rabbani

2019

IJE

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“…Ainda em 2021, uma pesquisa identificou e avaliou os principais riscos, seus impactos e relevância no processo nacional de doação e transplantes, destacando os problemas logísticos como uma das fraquezas (5) . A cadeia logística de doações e transplantes é diretamente influenciada pela combinação delicada entre processos padronizados, altos níveis de urgência, incerteza e o mais alto grau de eficiência a ser perseguido (6) .…”

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Software para apoio à decisão logística no processo de captação e transplante de órgãos

Costa,

Meirelles,

Magalhães

2023

Rev. baiana enferm.

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Rev baiana enferm (2023); 37:e52699 https://periodicos.ufba.br/index.php/enfermagem 2 Software para apoio à decisão logística no processo de captação e transplante de órgãos functional, with easy handling, gathering integrated and objective information. It represents a breakthrough in the area, proposing a technological innovation for the management and support to the logistic decisions involved in the process of organ procurement and transplantation.

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Urban Mobility and Transportation

Paganelli¹

2019

Encyclopedia of the UN Sustainable Development Goals

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Network Model for Optimal Aircraft Location for Human Organ Transportation Activities

Cited by 7 publications

References 15 publications

A Comprehensive Mathematical Model for Designing an Organ Transplant Supply Chain Network under Uncertainty

A Comprehensive Mathematical Model for Designing an Organ Transplant Supply Chain Network under Uncertainty

Software para apoio à decisão logística no processo de captação e transplante de órgãos

Urban Mobility and Transportation

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