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A multi-objective location-allocation optimization for sustainable management of municipal solid waste

机译:城市垃圾可持续管理的多目标区位优化

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摘要

The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socioeconomic and environmental concerns. The consideration of waste treatment costs, environmental impact, greenhouse gas (GHG) emissions, social fairness as well as other relevant aspects should be simultaneously taken into account when a MSW management system is planned. Development of sophisticated decision support tools for planning MSW management system in an economic-efficient and environmental friendly manner is therefore important. In this paper, a general multi-objective location-allocation model for optimally managing the interactions among those conflicting factors in MSW management system is proposed. The model is comprised of a three-stage conceptual framework and a mixed integer mathematical programming. The inclusion of environmental impact and GHG emission objectives push the output of the model tightening toward more environmentally friendly and sustainable solutions in MSW management. The application of this model is demonstrated through an illustrative example, and the computational efficiency of the programming is also tested through a set of incremental parameters. Latter in this paper, a comparison with previous case studies of MSW system design is presented in order to show the applicability and adaptability of the generic model in practical decision-making process, and the perspectives of future study are also discussed.
机译:由于社会经济和环境问题,城市固体废物(MSW)管理系统中处理和服务设施的位置问题非常重要。在规划城市固体废弃物管理系统时,应同时考虑废物处理成本,环境影响,温室气体排放,社会公平以及其他相关方面。因此,开发先进的决策支持工具以经济高效且环保的方式规划城市生活垃圾管理系统非常重要。本文提出了一种通用的多目标位置分配模型,用于优化管理城市垃圾管理系统中那些冲突因素之间的相互作用。该模型由一个三阶段概念框架和一个混合整数数学编程组成。包括环境影响和温室气体排放目标在内,推动该模型的输出趋向于朝着MSW管理中的更环保和可持续发展的解决方案发展。通过一个说明性示例演示了该模型的应用,并且还通过一组增量参数来测试编程的计算效率。本文通过与MSW系统以前的案例研究进行比较,以展示通用模型在实际决策过程中的适用性和适应性,并讨论了未来的研究前景。

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