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Decision making through path diagrams.

Martinez, Lauro.

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Decision making through path diagrams.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Decision making through path diagrams./
作者:	Martinez, Lauro.
面頁冊數:	164 p.
附註:	Adviser: James Hamilton Lambert.
Contained By:	Dissertation Abstracts International67-09B.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3235086
ISBN:	9780542888878

Decision making through path diagrams.
Martinez, Lauro.

Decision making through path diagrams. - 164 p.

Adviser: James Hamilton Lambert.

Thesis (Ph.D.)--University of Virginia, 2006.

Allocating resources to combinations of infrastructure improvements is a common responsibility of decision making in large organizations, both public and private. These allocations should be driven by a multiobjective analysis from the top-level goals of the organization. Analytical tools to aid such allocations have a significant history with many existing methodologies, particularly for optimizing and balancing within a hierarchy of quantified objective functions that partially represent the organizational goals. However, significant challenges remain for the decision maker to fully interact with the analyst in exploring the nearly optimal solutions to the existing quantitative models. In this dissertation the need is recognized for improved discrimination within the decision space in terms of its direct support for both the quantified and nonquantified parts of the organizational goals. The Graphical Path Diagram Multiobjective Combinatorial Optimization (GPD-MOCO) methodology developed in this dissertation supports an existing multiobjective combinatorial optimization (MOCO) model with a graphical path analysis of investments and goals in order to present the decision maker with a fuller insight in their selection among complex portfolios of infrastructure improvements. The GPD-MOCO methodology extends the reach of a MOCO model by addressing the nonquantified portions of the organizational goals. The GPD-MOCO methodology adapts a path diagram, which has been widely used for the modeling of organizational behavior in the social and behavioral sciences, to represent the interactions of the organizational goals. The GPD-MOCO methodology develops commodity functions of cost, risk and performance to assess coefficients of the path diagrams. The path diagrams of the nearly optimal solutions are compared to one that is derived from survey data. The GPD-MOCO methodology can be extended to multicriteria decision making more generally but the advantage of the path diagram to elicit the complexity of allocations is unique to the combinatorial problems. The GPD-MOCO methodology is demonstrated in a case study of allocating resources to eighty-five airport improvements.

ISBN: 9780542888878Subjects--Topical Terms:

1018128
Engineering, System Science.

Decision making through path diagrams.
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