道路事故不确定性下人道主义物流救济链的预定位:一个实际案例研究

IF 0.5 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
F. Hosseininezhad, A. Makui, R. Tavakkoli-Moghaddam
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引用次数: 1

摘要

道路事故作为人类社会死亡的原因之一,具有许多不利的社会和经济后果。采取各种措施可以提高旅行安全性。其中之一是找到合适的救济基础设施位置。救援链位置的正确预定位可以减少道路使用者的死亡人数。因此,本文提出了一个道路事故救援链预定位的多目标数学模型。然后采用非支配排序遗传算法对模型进行求解。使用多属性决策方法识别影响救济链位置的因素。最后,提出了救济链位置的潜在位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PRE-POSITIONING OF A RELIEF CHAIN IN HUMANITARIAN LOGISTICS UNDER UNCERTAINTY IN ROAD ACCIDENTS: A REAL-CASE STUDY
Road accidents, as one of the causes of mortality in human societies, have many adverse social and economic consequences. Various measures can improve the safety of travel. One of them is to find appropriate location of relief infrastructures. The proper pre-positioning of relief chains locations  can decrease road users’ fatalities. Thus this paper presents a  multi-objective mathematical model to the pre-positioning of a relief chain for road accidents. Then the model is solved by a non-dominated sorting genetic algorithm. Factors that affect the location of relief chains are identified using a multi-attribute decision-making method. Finally, potential locations are proposed for the relief chain locations.
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来源期刊
CiteScore
1.10
自引率
20.00%
发文量
15
审稿时长
6 weeks
期刊介绍: The South African Journal of Industrial Engineering (SAJIE) publishes articles with the emphasis on research, development and application within the fields of Industrial Engineering and Engineering and Technology Management. In this way, it aims to contribute to the further development of these fields of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry. Articles on practical applications, original research and meaningful new developments as well as state of the art surveys are encouraged.
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