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Quantitative risk management and decision making in construction [Perpetual access]

By: Language: English Series: ASCE Press SeriesPublication details: American Society for Civil Engineers 2017 RestonDescription: xviii, 302pISBN:
  • 9780784480298
Subject(s): DDC classification:
  • 624.0681 Si64q
Online resources: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur Electronic Resources 624.0681 Si64q (Browse shelf(Opens below)) Available EBK10786
Total holds: 0

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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