Location of ecopoints through integration p-medians model with geographical information system

Abstract

The configuration of logistics networks for waste oil and fats collection services is a strategic point of great importance, since their disposal contributes to a number of environmental disturbances, problems in sewage pipes and wastewater treatment systems. Starting from this premise, this paper proposes location of ecopoints in the city of Montes Claros-MG, capable of optimizing the collection of the waste oil and fats in all urban area of the municipality. This proposal of location was constructed in two stages: in the first, the collection network was constructed by integrating a location model of facilities with a geographic information system (GIS). It was possible to model a collection network in the city of Montes Claros - MG containing 87,748 points referenced by geographic coordinates and representatives of residential points considered as potential generators of these residues. During the creation of the model, due to the high density of the network and the low quantity of facilities (p), which causes limitation in the solution, it was observed the need for thematization of the map and consequently the network partitioning in zones, which allowed to determine the initial amount of installations that were to be found in the solution. Finally, an application in the native language of Transcad, GISDK, was developed with a programming interface that was developed to automate the process of integration of the model in the GIS. The model allowed the creation of 12 networks with densities below 12000 points, allowing gain in the solution of the problem.

Localização de armazéns agrícolas baseada em análise multicritério espacial

“…De natureza transdisciplinar, estes sistemas agregam conceitos e modelos de diversos campos. Os SIGs podem suportar uma ampla gama de consultas espaciais que podem ser usadas para apoiar estudos de localização, que envolvam a utilização de análise multicritério (Akmal et al, 2022;Souza et al, 2020a) ou não (Silva & Santos Neto, 2020). Church (2002) afirmou que os SIGs desempenhariam um papel significativo no futuro desenvolvimento e aplicação de modelos de localização, o que hoje é confirmado na prática.…”

Location of a coconut processing industry in the context of the agri-food chain

“…To identify a more exact and reliable location to establish a coconut derivatives processing industry, a p-median mathematical model is proposed (Silva & Santos, 2020) The optimal location obtained by the mathematical method of p -median is the Sosote sector of the Portoviejo canton of the province of Manabí, where it is possible to install a coconut derivatives processing plant within the value chain. This for being one of the places with the greatest fluidity of coconut in the links of: production, manufacture, marketing and sale.…”