Paganelli F, Mantecchini L, Peritore D, Morabito V, Rizzato L, Nanni Costa A
Department of Civil, Chemical, Environmental, and Materials Engineering (DICAM), School of Engineering and Architecture, University of Bologna, Bologna, Italy.
Department of Civil, Chemical, Environmental, and Materials Engineering (DICAM), School of Engineering and Architecture, University of Bologna, Bologna, Italy.
Transplant Proc. 2019 Jan-Feb;51(1):100-105. doi: 10.1016/j.transproceed.2018.04.069. Epub 2018 Jun 28.
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.
转运阶段的效率是器官移植手术成功的关键因素。可靠性、安全性和准时性必须符合欧盟和国家框架，并与经济、数量和服务水平参数保持一致。在本研究中，我们通过比较不同时间间隔和服务设计方案的性能指标，调查了意大利境内飞机的最佳数量和位置。
描述了一个整数线性规划模型，作为2015年6月至2016年5月期间通过航空进行区域外器官转运需求的最优服务解决方案。飞机利用率的限制以及在活动不兼容情况下任务的实际时长是该模型的相关输入数据。
基于任务持续时间及其起点和终点，该模型得出了各种场景下飞机的最佳数量和位置。在确定最有效的空间和数量分配时，考虑了法律要求的性能参数、保障全领土服务的需求以及已完成的移植数字和移植中心位置。
设计高效的基于紧急情况的服务，如用于移植目的的器官运输，并非易事。然而，了解物流链以及持续监测和更新数据及性能参数，可以收集有用信息以确保提供高性能服务。
