Application of a methodology to design a municipal waste pre-collection network in real scenarios.

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ID: 77873
2020
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Ranked #17 of 37 articles by views in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA

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Abstract
The design of efficient municipal solid waste (MSW) pre-collection networks can contribute to the global efficiency and sustainability of the reverse logistic chain of MSW in modern cities. With this aim, in this paper a comprehensive methodology that involves making decisions in several stages, from waste fraction classification to the final optimization of waste bins' location, was applied in two real cases of the city of Bahía Blanca, Argentina. This city, does not have much available data about waste generation and, therefore, an important fieldwork had to be performed for applying this methodology, involving estimating population density per block and waste generation rate per inhabitant, identifying the location of commercial and institutional buildings and also estimating its generation rate, as well as performing a characterization of the MSW from similar studies in the literature and surveys performed to make decisions. The modelling of the urban characteristics was performed in a geographic information system. In the bins' location problem, a mixed-integer optimization model was applied, seeking to minimize the investment costs, given the maximum area available and the capacity of the bins. Different scenarios were analysed, considering different collection frequencies and the maximum distance to be travelled by the user.
Reference Key
cavallin2020applicationwaste Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Cavallin, Antonella;Rossit, Diego Gabriel;Herrán Symonds, Victoria;Rossit, Daniel Alejandro;Frutos, Mariano;
Journal Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Year 2020
DOI
10.1177/0734242X19894630
URL
Keywords
municipal solid waste estimation of waste generation rate mixed-integer programming pre-collection network waste bins’ location

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