Abstract
Industrial site selection is a strategic decision that involves several criteria considerations for technical, economic, social, environmental, and political issues. These criteria are generally described by using a number of different indicators, expressed in quantitative and qualitative ways with some possible uncertainties. Decision making requires appropriate tools to enable data collection, storage, analysis, fusion, and knowledge management to address this complex, multifaceted scenario. This paper presents a Comprehensive Method for Industrial Site Selection (CMISS), an innovative approach for reasoning uncertainty and efficiently finding the most suitable solution based on a set of interacting decision support systems. The analysis focused to find a suitable area for the establishment of cement industry in Makwanpur District of Nepal. The study has been done by using Analytic Hierarchy Process (AHP) in which criteria such as distance from residential areas, distance from roads, land use, distance from rivers and pond, geology, distance from sensitive ecosystems, etc. The obtained results of the study may be helpful for the establishment of the cement industry in Makwanpur district.
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