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  DOI Prefix   10.20431


 

International Journal of Managerial Studies and Research
Volume 7, Issue 3, 2019, Page No: 38-54

Planning Industrial Location: A Fuzzy Model for Preventing Disastrous Overconcentration of Industries

Carlos A. N. Cosenza1*, Ademir Clemente2, Luis Moura3

1.COPPE-UFRJ, Academic Visitor, Department of Land Economy, 2017, University of Cambridge, UK.
2.Department of Accounting Sciences - Federal University of Parana
3.DSc COPPE-UFRJ, LabFuzzy Researcher.

Citation : Carlos A. N. Cosenza, Ademir Clemente, Luis Moura, Planning Industrial Location: A Fuzzy Model for Preventing Disastrous Overconcentration of Industries International Journal of Managerial Studies and Research 2019 , 7(3) : 38-54

Abstract

This article aims to present a planning instrument to avoid the overconcentration of industrial plants and the bad effects it causes to the Environment and Human Health. To make clear the need for such an instrument, the ideas popularized by the World Bank at the end of the last century are confronted with the recent experience of the city of Cubatao in the State of Sao Paulo, although several other cities have similar stories, whether in Brazil or in other countries. The proposed model is based on the original approach by the Societa per la Matematica e l'Economia Applicate and results from a research work at Martin Centre, Cambridge University, UK, 1981, and another at the Department of Land Economy, Cambridge University, UK, 2017.The need to increase GDP and create jobs,and the lack of technical information on the effects of industrial concentration in space frequently lead authorities to not consider the minimum quality levels of water, air and soil and neglect the standards set by the World Health Organization. The model consists of confronting demand profiles of industrial projects with supply profiles presented by locational alternatives, with compliance with WHO standards as a sine qua non condition. To make easier the application of the instrument, Fuzzy Logic and linguistic variables are employed.


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