Project Risk Assessment (Paperback)


In this better, faster, and cheaper era, project managers face many challenges in their attempts to perform effective project management. Too many projects suffer because the cost, schedule and performance goals are unachievable. Unrealistic cost, schedule, and performance estimates and a failure to quantify and communicate the uncertainty of these estimates to managers and stakeholders often results in project failure. A systematic risk identification approach using expert judgment coupled with a risk quantification method has utility in project planning and control. Cost, schedule, and performance are regarded as the "magical" combination that is continuously reviewed by project managers. These three factors form the basis for project control. Therefore, to achieve project success, each of these factors must be understood and properly estimated. A risk assessment model was develop using fuzzy membership sets. The model identified and quantified project risks associated with all three of the project parameters considering risk likelihood and the resulting potential consequences on project estimates.

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Product Description

In this better, faster, and cheaper era, project managers face many challenges in their attempts to perform effective project management. Too many projects suffer because the cost, schedule and performance goals are unachievable. Unrealistic cost, schedule, and performance estimates and a failure to quantify and communicate the uncertainty of these estimates to managers and stakeholders often results in project failure. A systematic risk identification approach using expert judgment coupled with a risk quantification method has utility in project planning and control. Cost, schedule, and performance are regarded as the "magical" combination that is continuously reviewed by project managers. These three factors form the basis for project control. Therefore, to achieve project success, each of these factors must be understood and properly estimated. A risk assessment model was develop using fuzzy membership sets. The model identified and quantified project risks associated with all three of the project parameters considering risk likelihood and the resulting potential consequences on project estimates.

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Product Details

General

Imprint

VDM Verlag

Country of origin

Germany

Release date

July 2009

Availability

Expected to ship within 10 - 15 working days

First published

July 2009

Authors

Dimensions

229 x 152 x 9mm (L x W x T)

Format

Paperback - Trade

Pages

144

ISBN-13

978-3-639-17427-4

Barcode

9783639174274

Categories

LSN

3-639-17427-5



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