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Function Analysis Relating to Decision Making in Value Engineering

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Item Summary

Title: Function Analysis Relating to Decision Making in Value Engineering
Authors: Zhang, Yue
Advisor: Singh, Amarjit
Issue Date: Dec 2002
Publisher: University of Hawaii at Manoa
Abstract: This paper attempts to analyze the interrelationship of FAST, CPM, and the cause-effect analysis techniques in VE study. The study process is conducted by deriving one diagram from the other. It has been found that FAST, CPM, and the cause-effect diagrams can represent each other. The study process follows the VE job plan. In addition, this paper discovered four mathematical methods through five case studies in selecting functions for development. Respectively, Matrix analysis provides an efficient method in selecting functions. The AHP methodology determined the priorities selection of the functions through the calculation methods recommended by Saaty. The accuracy of the result is ensured by logical consistency checking. The Payoffmatrix is a set of simplified methods in decision making. In applying Bayes' theorem, both "a priori" and "a posteriori" analyses are experienced. A posteriori probabilities provide a reversed probability when the subsequent information is known. The four methods are used together to comprehensively arrive at a final decision for developing functions during a VE study. The final decision is thus scientific and reliable. The methodology so developed contributes to the VE literature as a new technique that can be applied in the field.
Description: xv, 127 leaves
URI/DOI: http://hdl.handle.net/10125/6966
Rights: All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections:M.S. - Civil Engineering



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