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Models and algorithms for the integrated planning of bin allocation and vehicle routing in solid waste management

机译:固体废物管理中垃圾箱分配和车辆路线整合规划的模型和算法

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The collection and treatment of waste involves several types of waste to be collected, such as the municipal solid waste (MSW) and industrial waste (IW). Each type of waste requires specific technologies and methods for collection and disposal. The volume of MSW to be managed for each town increases over time. In urban areas, collection sites need be visited several times during the week. In addition, a large network of plants for the treatment and disposal is required. The costs associated with waste management are high and most of it is related to the logistics activities. Many municipalities have been assessing their solid waste management and examining the cost-effectiveness and environmental impacts and both private and municipal haulers are giving consideration to new technologies such as computerized vehicle routing for their MSW management. The design and management of an effective collection service can be grouped into three main phases. The first phase is demand analysis that forecasts the quantity of the waste to be collected. The second phase is supply planning involves the choice of the specific collection model, namely, a door-to-door service or a collection based on large street bins. The appropriate service frequency and capacity allocation to collection sites must be determined. Given the demand of a collection site, by increasing the number of bins located there, the service frequency of the site can be reduced and this impacts the fixed investment costs associated with service setup. It may influence the variable costs associated with the collection. The third phase involves the design of the vehicle routes for the collection vehicles on each day of a planning horizon. A large opportunity for improvement is available through integrated planning that allow various steps of the process to be incorporated. This paper defines an approach that integrates the routing of waste collection vehicles and the allocation of waste bins to the sites. For a given planning period, a schedule is developed for the waste collection vehicles that can be applied repeatedly, and determined the number and type of bins at each waste-collection site. This problem is called the waste bin allocation and routing problem (WBARP). (20 refs.)
机译:废物的收集和处理涉及多种类型的废物,例如城市固体废物(MSW)和工业废物(IW)。每种类型的废物都需要特定的技术和方法进行收集和处置。随着时间的推移,每个城镇要管理的城市固体废弃物的数量会增加。在城市地区,一周中需要多次访问收集站。另外,需要用于处理和处置的大型植物网络。与废物管理相关的成本很高,并且大部分与物流活动有关。许多市政当局一直在评估其固体废物管理,并研究其成本效益和环境影响,而私人和市政运输者都正在考虑将新技术(例如计算机化车辆路线安排)用于其MSW管理。有效收集服务的设计和管理可以分为三个主要阶段。第一阶段是需求分析,它预测要收集的废物量。第二阶段是供应计划,涉及特定收集模式的选择,即上门服务或基于大型街道垃圾箱的收集。必须确定对收集站点的适当服务频率和容量分配。给定收集站点的需求,通过增加收集站点的垃圾箱数量,可以降低站点的服务频率,这会影响与服务设置相关的固定投资成本。它可能会影响与托收相关的可变成本。第三阶段涉及在计划范围的每一天为收集车辆设计车辆路线。通过集成计划,可以将过程的各个步骤合并在一起,因此有很大的改进机会。本文定义了一种方法,该方法整合了废物收集车的路线安排和废物箱到站点的分配。对于给定的计划周期,制定了可重复应用的废物收集车时间表,并确定了每个废物收集站点的垃圾箱数量和类型。此问题称为垃圾箱分配和路由问题(WBARP)。 (20篇)

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  • 来源
    《Operations Research》 |2015年第3期|237-240|共4页
  • 作者单位

    Department of Business Administration, University of Vienna, A-1210 Wien, Austria, and Institute for Transport and Logistics Management, Vienna University of Economics and Busess, 1090 Wien, Austria;

    Department of Business Administration, University of Vienna, A-1210 Wien, Austria, and Institute of Production and Logistics Management, Johannes Kepler University Linz, A-4040 Linz, Austria;

    Department of Business Administration, University of Vienna, A-1210 Wien, Austria;

    Department of Electrical, Electronic, and Information Engineering, G. Marconi, University of Bologna, 40136 Bologna, Italy;

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