Quantitative risk management and decision making in construction [Perpetual access]
By: Singh, Amarjit.
Series: ASCE Press Series. Publisher: Reston American Society for Civil Engineers 2017Description: xviii, 302p.ISBN: 9780784480298.Subject(s): Risk management -- Mathematical models | Construction industry -- Management--Data processing | Decision making -- Mathematical modelsDDC classification: 624.0681 | Si64q Online resources: Click here to access online Summary: Quantitative Risk Management and Decision Making in Constructionintroduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects. Singh addresses such topics as probabilistic cost estimating, contingency analysis, cause-effect diagrams, FAST diagrams, and decision trees, and explains the tools available to quantify risks such as payoff matrices, Bayes' theorem, matrix analysis, and analytical hierarchy process. Finally, Singh shows how the information gained from analysis can be applied to mitigate risks using a risk-analysis card game, by monitoring performance, and by managing inventory. Intended for graduate and upper-level undergraduate students, each topic is accompanied by numerous examples, drawings, and exercises to illustrate and reinforce these concepts. In addition, the common techniques can be executed by business and construction managers for practical construction risk assessment.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Electronic Resources | 624.0681 Si64q (Browse shelf) | Available | EBK10786 |
Quantitative Risk Management and Decision Making in Constructionintroduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects. Singh addresses such topics as probabilistic cost estimating, contingency analysis, cause-effect diagrams, FAST diagrams, and decision trees, and explains the tools available to quantify risks such as payoff matrices, Bayes' theorem, matrix analysis, and analytical hierarchy process. Finally, Singh shows how the information gained from analysis can be applied to mitigate risks using a risk-analysis card game, by monitoring performance, and by managing inventory. Intended for graduate and upper-level undergraduate students, each topic is accompanied by numerous examples, drawings, and exercises to illustrate and reinforce these concepts. In addition, the common techniques can be executed by business and construction managers for practical construction risk assessment.
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