Please use this identifier to cite or link to this item:

TitleA decision support system for waste collection modeled as TOPTW variant
Author(s)Oliveira, José A.
Mota, Gabriel
Ferreira, João Amaro Oliveira
Figueiredo, Manuel
Dias, Luís M. S.
Pereira, Guilherme
KeywordsDecision Support System
Selective Waste Collection
Household Packaging Waste
Genetic Algorithm
Issue date11-Sep-2013
PublisherCentro para a Valorização de Resíduos (CVR)
Abstract(s)Usually the selective collection of municipal solid waste is expensive and has low efficiency, especially when it is done on a large scale. Despite the abundance of commercially available software for fleet management, managers receive scant help from it because it typically is not able to deal with sequencing problems or revising plans and schedules dynamically during process execution. We consider waste collection as a process that includes logistics topics such as transport and traffic problems, forecasting and operations scheduling, and fitted for improving or maximizing several performance measures. This is a novel approach, which we have been pursuing for the past few years and have proven to be amenable to mathematical modeling. This allows the use of optimization techniques, which promote recycling, the recovery of waste necessary to increase the resource efficiency of the economy, reducing the negative environmental impact of the use of natural resources. This paper discusses the model and a genetic algorithm to solve a new variant of the Team Orienteering Problem with Time Windows that can be used to deal with the selective collection of municipal solid waste, allowing for a reduction in logistic costs.
TypeConference paper
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

Files in This Item:
File Description SizeFormat 
  Restricted access
Artigo completo431,91 kBAdobe PDFView/Open    Request a copy!

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID