
Improving Project Budget Estimation Accuracy and Precision by Analyzing Reserves for Both Identified and Unidentified Risks
Author(s) -
Hyukchun Kwon,
Chang Wook Kang
Publication year - 2018
Publication title -
project management journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.454
H-Index - 43
eISSN - 8756-9728
pISSN - 1938-9507
DOI - 10.1177/8756972818810963
Subject(s) - estimation , risk analysis (engineering) , value (mathematics) , point (geometry) , project management , computer science , cost estimate , point estimation , budget constraint , project finance , operations research , business , engineering , economics , finance , systems engineering , statistics , mathematics , geometry , machine learning , neoclassical economics
Project risk is a critical factor in estimating project budget. Previous studies on this topic have only addressed estimation methods that consider project budget reserves against identified risks. As a result, project managers still face the challenge of completing projects within given budgets but without the relevant tools to deal with unidentified risks. This study proposes an approach for estimating reserves for both identified and unidentified risks separately. The study also suggests using the three-point estimation technique and R-value determination for estimating risk costs, which can improve budget accuracy and precision. The construction of residential building projects in South Korea demonstrates the advantages of the proposed approach compared with previous methods.
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