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首页> 外文期刊>International Journal of Environmental Research and Public Health >An Improved Multi-Objective Programming with Augmented ε-Constraint Method for Hazardous Waste Location-Routing Problems
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An Improved Multi-Objective Programming with Augmented ε-Constraint Method for Hazardous Waste Location-Routing Problems

机译：改进的基于增强ε约束的多目标规划方法求解危险废物选址问题

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摘要

Hazardous waste location-routing problems are of importance due to the potential risk for nearby residents and the environment. In this paper, an improved mathematical formulation is developed based upon a multi-objective mixed integer programming approach. The model aims at assisting decision makers in selecting locations for different facilities including treatment plants, recycling plants and disposal sites, providing appropriate technologies for hazardous waste treatment, and routing transportation. In the model, two critical factors are taken into account: system operating costs and risk imposed on local residents, and a compensation factor is introduced to the risk objective function in order to account for the fact that the risk level imposed by one type of hazardous waste or treatment technology may significantly vary from that of other types. Besides, the policy instruments for promoting waste recycling are considered, and their influence on the costs and risk of hazardous waste management is also discussed. The model is coded and calculated in Lingo optimization solver, and the augmented ε-constraint method is employed to generate the Pareto optimal curve of the multi-objective optimization problem. The trade-off between different objectives is illustrated in the numerical experiment.
机译：由于附近居民和环境的潜在风险，危险废物的选址问题非常重要。在本文中，基于多目标混合整数规划方法开发了一种改进的数学公式。该模型旨在帮助决策者选择不同设施（包括处理厂，回收厂和处置场）的位置，为危险废物处理提供适当的技术，并确定运输路线。在该模型中，考虑了两个关键因素：系统运营成本和对当地居民施加的风险，并且在风险目标函数中引入了补偿因子，以考虑以下事实：一种危险类型造成的风险水平废物或处理技术可能与其他类型的技术大不相同。此外，还考虑了促进废物回收的政策工具，并讨论了它们对危险废物管理的成本和风险的影响。在Lingo优化求解器中对该模型进行编码和计算，并采用增强的ε约束方法生成多目标优化问题的帕累托最优曲线。数值实验说明了不同目标之间的权衡。

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