22nd IPMA World Congress , 2008-11-09

Title : ( Value Engineering Methodology; An opportunity for optimization of the project management plan )

Authors: Seyed Yaser Banihashemi , Mojtaba Azizi , Seyed Alireza Mirmohammad Sadeghi ,

Citation: BibTeX | EndNote

Abstract

Recent research reveals that less than %20 of projects achieve their time, cost and quality objectives, and Project Management is one of the key factors in the success of projects. Considering that each project is unique, appropriate tools, techniques and methods must be adopted in relation to the scale, complexity and the particular characteristics of each project. The Project Management Plan is developed for this purpose. If the functions of the plan and its components are not properly evaluated for each project, besides incurring extra costs, the plan may not be very effective. Today Value Engineering Methodology is one of the most successful tools for cost reduction, as well as performance and quality improvement for a system or a product. This article is part of an ongoing research that is being carried out to investigate the potential of this methodology for the optimization of the Project Management Plan. In addition to a clear explanation of the problem, Value Engineering phases have been revised.

Keywords

, Project Management, Project Management Plan, Value Engineering Methodology, Project Success
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@inproceedings{paperid:1052716,
author = {Banihashemi, Seyed Yaser and Mojtaba Azizi and Seyed Alireza Mirmohammad Sadeghi},
title = {Value Engineering Methodology; An opportunity for optimization of the project management plan},
booktitle = {22nd IPMA World Congress},
year = {2008},
location = {Rome, ITALY},
keywords = {Project Management; Project Management Plan; Value Engineering Methodology; Project Success},
}

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%0 Conference Proceedings
%T Value Engineering Methodology; An opportunity for optimization of the project management plan
%A Banihashemi, Seyed Yaser
%A Mojtaba Azizi
%A Seyed Alireza Mirmohammad Sadeghi
%J 22nd IPMA World Congress
%D 2008

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