Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, Mexico.
Waste Manag. 2013 Dec;33(12):2607-22. doi: 10.1016/j.wasman.2013.08.010. Epub 2013 Sep 10.
The increasing generation of municipal solid waste (MSW) is a major problem particularly for large urban areas with insufficient landfill capacities and inefficient waste management systems. Several options associated to the supply chain for implementing a MSW management system are available, however to determine the optimal solution several technical, economic, environmental and social aspects must be considered. Therefore, this paper proposes a mathematical programming model for the optimal planning of the supply chain associated to the MSW management system to maximize the economic benefit while accounting for technical and environmental issues. The optimization model simultaneously selects the processing technologies and their location, the distribution of wastes from cities as well as the distribution of products to markets. The problem was formulated as a multi-objective mixed-integer linear programing problem to maximize the profit of the supply chain and the amount of recycled wastes, where the results are showed through Pareto curves that tradeoff economic and environmental aspects. The proposed approach is applied to a case study for the west-central part of Mexico to consider the integration of MSW from several cities to yield useful products. The results show that an integrated utilization of MSW can provide economic, environmental and social benefits.
城市固体废物（MSW）的产生量不断增加，特别是对于那些填埋能力不足且垃圾管理系统效率低下的大城市来说，这是一个主要问题。有几种与供应链相关的选择可用于实施 MSW 管理系统，然而，要确定最佳解决方案，必须考虑到几个技术、经济、环境和社会方面。因此，本文提出了一种用于优化与 MSW 管理系统相关的供应链的数学规划模型，以在考虑技术和环境问题的同时最大化经济效益。优化模型同时选择了处理技术及其位置、城市废物的分配以及产品到市场的分配。该问题被表述为一个多目标混合整数线性规划问题，以最大化供应链的利润和回收废物的数量，通过 Pareto 曲线来权衡经济和环境方面的问题。该方法应用于墨西哥中西部的一个案例研究，以考虑整合多个城市的 MSW 以产生有用的产品。结果表明，MSW 的综合利用可以带来经济、环境和社会效益。
