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You searched for +publisher:"University of Wisconsin – Milwaukee" +contributor:("Dr. Nidal H. Abu Zahra"). One record found.

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University of Wisconsin – Milwaukee

1. Alarjani, Ali Saeed. Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location.

Degree: PhD, Engineering, 2017, University of Wisconsin – Milwaukee

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 country for locating a petrochemical facility. Moreover, all countries have been ranked first according to their high potential cluster and within each cluster. These rankings also help to distinguish the candidate countries assigned to the same cluster. Advisors/Committee Members: Dr. Nidal H. Abu Zahra.

Subjects/Keywords: Critical Factors of Global Manufacturing; Facility Location Problem; Similarity Coefficient Method; Engineering; Industrial Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alarjani, A. S. (2017). Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1569

Chicago Manual of Style (16th Edition):

Alarjani, Ali Saeed. “Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location.” 2017. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed November 25, 2020. https://dc.uwm.edu/etd/1569.

MLA Handbook (7th Edition):

Alarjani, Ali Saeed. “Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location.” 2017. Web. 25 Nov 2020.

Vancouver:

Alarjani AS. Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2017. [cited 2020 Nov 25]. Available from: https://dc.uwm.edu/etd/1569.

Council of Science Editors:

Alarjani AS. Introduction of Similarity Coefficient-based Clustering Algorithms to Global Petrochemical Facility Location. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1569

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