Engineering Commons^™

Introduction Of Similarity Coefficient-Based Clustering Algorithms To Global Petrochemical Facility Location, Ali Saeed Alarjani

Theses and Dissertations

This research introduces a similarity coefficient-based clustering algorithm to determine the best location for a petrochemical manufacturing facility. The most global petrochemical critical attributes have been selected from relevant literature about manufacturing activities. These critical attributes have been quantified by real world numbers from the World Bank database and have been employed in the proposed model of the research. The model of the research uses the selected critical attributes data and clusters a hundred countries in similar groups according to their attractiveness level to the petrochemical facility location.

The outcomes of the developed model are classifications that show the potential …