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Hazardous Materials Transportation using Bi-level Linear Programming Case-study of Liquid Fuel Distribution

机译:危险材料运输使用双级线性规划案例研究液体燃料分布

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Hazardous materials (hazmats) are essential for the competitiveness of contemporary societies, however their transportation is potentially dangerous and expensive. In Portugal, despite the interest of both academia and industry, studies enabling the identification of preferable road routes for hazmats distribution were not identified. Hence, this research aims at contributing to advancing knowledge in identifying these routes in the national current context by balancing two frequently intrinsically conflicting aspects of hazmats transportation: the safety and the economic viability of the available routes. For that, a bi-level linear programming model was implemented in the GAMS modelling system and applied to a real-world case study using petrol and diesel fuels delivery data from a prominent energy group acting in the country. The company shared data of distribution loads over one calendar year to both petrol stations and direct clients in Lisbon. A geographical information system (GIS) was used to map Lisbon road network, which was found to be significantly larger than other networks used in similar studies described in the literature. The model was solved to optimality in a short computation time leading to the clear identification of the preferable road routes for liquid fuel distribution in the Lisbon district of Olivais. The success of the methodology applied in this study, including the generic implementation of the bi-level linear programming model, offers an optimistic prospect for a gradual increase of the geographical coverage, assessed risks and general complexity of the initial model.
机译:危险材料(Hazmats)对于当代社会的竞争力至关重要,但其运输可能是潜在的危险和昂贵。在葡萄牙,尽管学术界和工业都很吻求,但没有识别能够识别鉴定危险的公路路线的危险途径。因此,本研究旨在通过平衡Hazmats运输的两种经常内在的内容,推动在国家当前背景下识别这些路线的知识:安全和可用路线的安全性和经济可行性。为此,双级线性编程模型在Gams建模系统中实施,并应用于使用汽油和柴油燃料从该国代表的突出能源集团提供的现实案例研究。该公司将分销量的数据分享到一个日历年份到汽油站和里斯本的直接客户。地理信息系统(GIS)用于映射Lisbon Road网络,该网络被发现明显大于文献中描述的类似研究中使用的其他网络。该模型在短的计算时间内得到了最优性,导致奥利瓦西利维西斯里斯本区的液体燃料分布的优选路线的清晰识别。在本研究中应用的方法的成功包括双层线性规划模型的通用实施,为逐步增加了地理覆盖,评估风险和初始模型的一般复杂性提供了乐观的前景。

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