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基于扇区弧路径的巴西垃圾收集空间决策支持系统。

Sector arc routing-based spatial decision support system for waste collection in Brazil.

机构信息

Programa de Pós-Graduação em Administração, Universidade Estadual do Ceará, Fortaleza, Brazil.

GRAPHVS Consultoria em Tecnologia de Sistemas Ltda., Fortaleza, Brazil.

出版信息

Waste Manag Res. 2023 Jan;41(1):214-221. doi: 10.1177/0734242X221104366. Epub 2022 Jul 26.

Abstract

We present a sector arc routing problem-based spatial decision support system technology to develop tactical and operational plans and manage solid waste collection activities including household refuse collection and human and mechanical street sweeping. The proposed technology can also manage solid waste services through optimization (minimizing sector costs, distances and resources). The proposed technology is called optimized planning and integrated logistics management. It can be directly applied to Brazilian municipalities as it contains its major natural features. The system uses advanced technics from sector arc routing and sector scheduling, fleet and staff scheduling and daily plan management using mobile smartphone apps. The technology also allows for waste system inspections that are transparent to all participants in real time. We present the results of cases evaluated in the field for residential refuse collection and human and mechanical street sweeping in two Brazilian cities (Campo Grande and São Paulo). The plan implementations achieved from 12 to 28% actual fixed and variable cost savings for sectors (vehicles and workers) and routes (time and distances) for residential refuse collection and from 7 to 42% savings for human and mechanical street sweeping for the companies.

摘要

我们提出了一种基于扇区弧路由问题的空间决策支持系统技术,用于制定战术和运营计划,并管理固体废物收集活动,包括家庭垃圾收集以及人和机械的街道清扫。该技术还可以通过优化(最小化扇区成本、距离和资源)来管理固体废物服务。该技术被称为优化规划和综合物流管理。它可以直接应用于巴西的城市,因为它包含了其主要的自然特征。该系统使用来自扇区弧路由和扇区调度、车队和人员调度以及使用移动智能手机应用程序的日常计划管理方面的先进技术。该技术还允许对废物系统进行实时检查,所有参与者都可以实时查看。我们展示了在巴西两个城市(坎波格兰德和圣保罗)进行的住宅垃圾收集和人机街道清扫实地评估案例的结果。对于住宅垃圾收集,计划的实施为扇区(车辆和工人)和路线(时间和距离)带来了 12%至 28%的实际固定和可变成本节约,对于人机街道清扫,为公司带来了 7%至 42%的节约。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d15/9925885/43bdba9b93d7/10.1177_0734242X221104366-fig1.jpg

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