Network Model for Optimal Aircraft Location for Human Organ Transportation Activities.
Aircraft
/ legislation & jurisprudence
European Union
Humans
Italy
Linear Models
Organ Transplantation
/ legislation & jurisprudence
Reproducibility of Results
Resource Allocation
/ legislation & jurisprudence
Tissue and Organ Procurement
/ legislation & jurisprudence
Transplants
Transportation
/ legislation & jurisprudence
Journal
Transplantation proceedings
ISSN: 1873-2623
Titre abrégé: Transplant Proc
Pays: United States
ID NLM: 0243532
Informations de publication
Date de publication:
Historique:
received:
12
02
2018
accepted:
13
04
2018
pubmed:
19
1
2019
medline:
26
3
2019
entrez:
19
1
2019
Statut:
ppublish
Résumé
The efficiency of transport phases is a key factor in successful organ transplant operations. Reliability, safety, and punctuality must be in compliance with the European Union and national frameworks and be consistent with economic, quantitative, and level-of-service parameters. In this study we investigated the optimal numbers and locations of aircraft in the Italian territory by comparing performance indexes related to different time intervals and service design scenarios. An integer linear programming model is described as an optimal service solution for covering the demand for extraregional organ transport by air between June 2015 and May 2016. Restrictions on aircraft utilization and actual length of the missions in cases of incompatible activities are the relevant input data of the model. Based on mission durations and their origin and destination, the model returns the optimal number and location of aircraft in various scenarios. The performance parameters required by law and the need to guarantee the service from/to the whole territory, together with the transplant figures performed and transplant center locations, have been taken into account to determine the most efficient spatial and numerical allocation. The efficient design of an urgency-based service such as the transportation of organs for transplant purposes is not an easy task. Nevertheless, knowledge of the logistic chain and continuous monitoring and update of data and performance parameters can allow for collection of useful information to guarantee a high-performing service.
Sections du résumé
BACKGROUND
BACKGROUND
The efficiency of transport phases is a key factor in successful organ transplant operations. Reliability, safety, and punctuality must be in compliance with the European Union and national frameworks and be consistent with economic, quantitative, and level-of-service parameters. In this study we investigated the optimal numbers and locations of aircraft in the Italian territory by comparing performance indexes related to different time intervals and service design scenarios.
METHODS
METHODS
An integer linear programming model is described as an optimal service solution for covering the demand for extraregional organ transport by air between June 2015 and May 2016. Restrictions on aircraft utilization and actual length of the missions in cases of incompatible activities are the relevant input data of the model.
RESULTS
RESULTS
Based on mission durations and their origin and destination, the model returns the optimal number and location of aircraft in various scenarios. The performance parameters required by law and the need to guarantee the service from/to the whole territory, together with the transplant figures performed and transplant center locations, have been taken into account to determine the most efficient spatial and numerical allocation.
CONCLUSION
CONCLUSIONS
The efficient design of an urgency-based service such as the transportation of organs for transplant purposes is not an easy task. Nevertheless, knowledge of the logistic chain and continuous monitoring and update of data and performance parameters can allow for collection of useful information to guarantee a high-performing service.
Identifiants
pubmed: 30655128
pii: S0041-1345(18)30843-1
doi: 10.1016/j.transproceed.2018.04.069
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
100-105Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.