当前位置：
X-MOL 学术
›
Ind. Eng. Chem. Res.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Mathematical Model for Optimizing Green Waste Recycling Networks Considering Outsourcing
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-04-16 , DOI: 10.1021/acs.iecr.9b06876 Arsalan Yousefloo 1 , Reza Babazadeh 1
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-04-16 , DOI: 10.1021/acs.iecr.9b06876 Arsalan Yousefloo 1 , Reza Babazadeh 1
Affiliation
|
The rapid growth of industry and economy and the increase in incomes have led to the influx of people to big cities and thus a sharp increase in waste production. Inappropriate waste management damages city infrastructure and affects community health and environment. Governments need to plan and implement integrated management from waste production to final disposal for achieving sustainable solution. This paper presents a bilevel multiobjective programming model for the design and planning of a municipal solid waste management (MSWM) network. The MSWM network includes production sites, transfer stations (TSs), treatment centers (TCs), waste recycling centers, and landfill sites. The municipality outsources waste through auctions. The Stackelberg game method is used in the context of a bilevel problem for the design of an MSWM network in auction conditions. The municipality, as the primary decision maker (DM), decides on the locations of TCs, TSs, and landfills, the technology type and capacity of TSs and treatment facilities, as well as on waste outsourcing and selection of the winning company. The bidders as followers set their bids in a way that maximizes their profit and winning chance at the auction. The proposed model is transformed into a single-level multiobjective mixed-integer linear programming (MOMILP) model using the Karush–Kuhn–Tucker conditions. Then, the augmented ε-constrained method is used to solve the multiobjective model. A real case study in the Qazvin province of Iran is conducted to show the applicability of the proposed approach. The results show that the presented MOMILP model is useful in designing an integrated MSWM network trading off between total costs and total greenhouse gas emission based on the main DM priorities.
中文翻译：
考虑外包的绿色废物回收网络优化数学模型
工业和经济的快速增长以及收入的增加导致人们涌入大城市，从而使废物产生急剧增加。废物管理不当会损害城市基础设施，并影响社区的健康和环境。政府需要计划和实施从废物生产到最终处置的综合管理，以实现可持续的解决方案。本文提出了用于城市固体废物管理（MSWM）网络设计和规划的双层多目标规划模型。MSWM网络包括生产站点，转运站（TS），处理中心（TC），废物回收中心和垃圾填埋场。市政当局通过拍卖将废物外包。在拍卖问题中，在双层问题的上下文中使用Stackelberg博弈方法设计MSWM网络。市政府作为主要决策者（DM），决定TC，TS和垃圾填埋场的位置，TS和处理设施的技术类型和容量，以及废物外包和获胜公司的选择。作为追随者的竞标者以一种使拍卖中的利润和获胜机会最大化的方式来设置其出价。利用Karush–Kuhn–Tucker条件，将建议的模型转换为单级多目标混合整数线性规划（MOMILP）模型。然后，使用增强的ε约束方法求解多目标模型。在伊朗的加兹温省进行了一个实际案例研究，以显示该方法的适用性。
更新日期：2020-04-24
中文翻译：
考虑外包的绿色废物回收网络优化数学模型
工业和经济的快速增长以及收入的增加导致人们涌入大城市，从而使废物产生急剧增加。废物管理不当会损害城市基础设施，并影响社区的健康和环境。政府需要计划和实施从废物生产到最终处置的综合管理，以实现可持续的解决方案。本文提出了用于城市固体废物管理（MSWM）网络设计和规划的双层多目标规划模型。MSWM网络包括生产站点，转运站（TS），处理中心（TC），废物回收中心和垃圾填埋场。市政当局通过拍卖将废物外包。在拍卖问题中，在双层问题的上下文中使用Stackelberg博弈方法设计MSWM网络。市政府作为主要决策者（DM），决定TC，TS和垃圾填埋场的位置，TS和处理设施的技术类型和容量，以及废物外包和获胜公司的选择。作为追随者的竞标者以一种使拍卖中的利润和获胜机会最大化的方式来设置其出价。利用Karush–Kuhn–Tucker条件，将建议的模型转换为单级多目标混合整数线性规划（MOMILP）模型。然后，使用增强的ε约束方法求解多目标模型。在伊朗的加兹温省进行了一个实际案例研究，以显示该方法的适用性。
京公网安备 11010802027423号