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Fuzzy risk explicit interval linear programming model for end-of-life vehicle recycling planning in the EU

机译:欧盟报废车辆回收计划的模糊风险显式区间线性规划模型

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End-of-life vehicles (ELVs) are vehicles that have reached the end of their useful lives and are no longer registered or licensed for use. The ELV recycling problem has become very serious in the last decade and more and more efforts are made in order to reduce the impact of ELVs on the environment. This paper proposes the fuzzy risk explicit interval linear programming model for ELV recycling planning in the EU. It has advantages in reflecting uncertainties presented in terms of intervals in the ELV recycling systems and fuzziness in decision makers' preferences. The formulated model has been applied to a numerical study in which different decision maker types and several ELV types under two EU ELV Directive legislative cases were examined. This study is conducted in order to examine the influences of the decision maker type, the α-cut level, the EU ELV Directive and the ELV type on decisions about vehicle hulks procuring, storing unprocessed hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Decision maker type can influence quantity of vehicle hulks kept in storages. The EU ELV Directive and decision maker type have no influence on which vehicle hulk type is kept in the storage. Vehicle hulk type, the EU ELV Directive and decision maker type do not influence the creation of metal allocation plans, since each isolated metal has its regular destination. The valid EU ELV Directive eco-efficiency quotas can be reached even when advanced thermal treatment plants are excluded from the ELV recycling process. The introduction of the stringent eco-efficiency quotas will significantly reduce the quantities of land-filled waste fractions regardless of the type of decision makers who will manage vehicle recycling system. In order to reach these stringent quotas, significant quantities of sorted waste need to be processed in advanced thermal treatment plants. Proposed model can serve as the support for the European vehicle recycling managers in creating more successful ELV recycling plans.
机译:报废车辆(ELV)是已达到使用寿命的车辆,并且不再注册或许可使用。在过去的十年中,ELV的回收问题变得非常严重,为了减少ELV对环境的影响,人们进行了越来越多的努力。本文提出了欧盟ELV回收计划的模糊风险显式区间线性规划模型。它具有优势,可以反映ELV回收系统中间隔的不确定性以及决策者偏好的模糊性。拟定模型已应用于数值研究,其中研究了两种EU ELV指令立法案例下的不同决策者类型和几种ELV类型。进行这项研究的目的是检验决策者类型,α削减水平,EU ELV指令和ELV类型对有关车辆废料采购,存储未加工废料,分类产生的物料部分,分配分类废物流的决策的影响。并分配分类的金属。决策者的类型会影响存储在仓库中的汽车废料的数量。 EU ELV指令和决策者类型对存储中保留的哪种车辆绿巨人类型没有影响。废车类型,EU ELV指令和决策者类型不影响金属分配计划的创建,因为每种隔离的金属都有其常规目的地。即使在ELV回收过程中不包括高级热处理厂,也可以达到有效的EU ELV指令生态效率配额。引入严格的生态效率配额将大大减少垃圾填埋场废弃物的数量,而与管理车辆回收系统的决策者类型无关。为了达到这些严格的配额,需要在高级热处理厂中处理大量分类废物。拟议的模型可以为欧洲车辆回收管理者提供帮助,帮助他们制定更成功的ELV回收计划。

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