Open AccessIdentification of a New Industrial Area Based on a Macro-Level Analysis a Case of Bokaro District, Jharkhand, India
Author(s) -
Bimal Chandra Roy,
Satyaki Sarkar,
Rajan Chandra Sinha,
Indresh K. Srivastava
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1168.129219
Subject(s) - identification (biology) , multidisciplinary approach , sustainability , sustainable development , macro , computer science , quality (philosophy) , multiple criteria decision analysis , operations research , management science , engineering , sociology , political science , law , biology , programming language , ecology , social science , philosophy , botany , epistemology
Locating a new industrial area involves a strategic decision that covers several criteria with consideration for socio-economic benefits and environmental sustainability alongwith technical, and political issues. These different criteria are described using a number of indicators in terms of quantity and quality with some possible uncertainty. Decision making thus requires appropriate tools for data collection, analysis and knowledge management to address this multidisciplinary situation. This paper tries to find out the comprehensive method for industrial site location, a sustainable approach for finding the most suitable solution. Identifying the location determinants and site suitability models used for allocating an industrial site is observed to be an essential aspect of siting of industry, as such; level of decision making is dependent on predefined constraints. Multicriteria decision making method (M.C.D.M) seems to be a consistent and efficient solution which forms the basis for locating multiple sites for industrial activity in any delineated area.