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Facility location selection for glob...
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Kalantari, Amir Hossein.
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Facility location selection for global manufacturing.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Facility location selection for global manufacturing./
作者:
Kalantari, Amir Hossein.
面頁冊數:
96 p.
附註:
Source: Masters Abstracts International, Volume: 52-03.
Contained By:
Masters Abstracts International52-03(E).
標題:
Engineering, Materials Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1547206
ISBN:
9781303484612
Facility location selection for global manufacturing.
Kalantari, Amir Hossein.
Facility location selection for global manufacturing.
- 96 p.
Source: Masters Abstracts International, Volume: 52-03.
Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2013.
The selection of a facility location for operations is an important decision in strategic planning of manufacturing corporations. As globalization is transcending national borders, the whole world is becoming the domain of site selection problem. This, in turn, significantly changes the nature of facility location problem. The change is, particularly, paramount in the consideration of attributes impacting the selection decision. Many recent studies have considered the global dimensions of manufacturing site selections and have cited economic, social, and political factors impacting manufacturing operations. The complexity of facility location problem combined with the emerging global factors impacting site selection for manufacturing operations poses challenging research topics including the selection of critical attributes and the development of a methodology for data analysis for manufacturing facility selection.
ISBN: 9781303484612Subjects--Topical Terms:
1017759
Engineering, Materials Science.
Facility location selection for global manufacturing.
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The selection of a facility location for operations is an important decision in strategic planning of manufacturing corporations. As globalization is transcending national borders, the whole world is becoming the domain of site selection problem. This, in turn, significantly changes the nature of facility location problem. The change is, particularly, paramount in the consideration of attributes impacting the selection decision. Many recent studies have considered the global dimensions of manufacturing site selections and have cited economic, social, and political factors impacting manufacturing operations. The complexity of facility location problem combined with the emerging global factors impacting site selection for manufacturing operations poses challenging research topics including the selection of critical attributes and the development of a methodology for data analysis for manufacturing facility selection.
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In this thesis I have reviewed the academic as well as industrial literature on recent developments on global facility location problem and have identified the most frequently cited/used attributes for the selection suitable manufacturing sites. Furthermore, I have developed a new similarity coefficient for cluster analysis for the formation of groups of prospective sites. Finally, I have employed an average clustering algorithm to identify these groups. In addition, I have demonstrated my methodology by a numerical example.
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