Titlebook: Risk Management for Engineering Projects; Procedures, Methods Nolberto Munier Textbook 2014 Springer International Publishing Switzerland

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Planning,od (CPM), Program Evaluation and Review Technique (PERT), and the Monte Carlo Model (MC), and lists many other techniques, for instance, Earned Value Analysis (EV), Probabilistic Trees, Risk Matrix, etc., as well as illustrating other tools, namely Work Breakdown Structure (WBS), Risk Breakdown Stru

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Probabilities in Risk Management,ology, public reaction, etc.), and thus, risk permeates everything. Risk is closely related to uncertainty, and the latter with probabilities and distributions the conceptual aspects of which are explained in Chap. .. It is inconceivable to address risk without considering probabilities of occurrenc

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Risk Assessment and Analysis,aking it impossible or unprofitable to analyze them all, meaning selection of the threats that will be addressed is important. It is a decision-making process; an example is proposed and solved by one of the many techniques available. The chapter proposes a very standard requested study, which is th

staging

Sensitivity Analysis,t, there is always uncertain data and predictions, vague information, unexpected people or stakeholder reactions, deviations in prices, labor performance different from estimated, etc. Sensitivity analysis is designed to examine the response or reaction of an output variable, such as the IRR, the NP

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,Project During Execution – Strategy – Updating,eginning of the project when the risk is normally maximum, and at each update. In the Project Monitoring stage, this chapter explores what happens with foreseen risks, that is, if they really happened or not and their consequences. In the Project Control stage, the chapter uses Earned Value Analysis

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Brief Introduction to Probability Distributions,ion of tasks, price variations, effect on the environment, etc., to say nothing about those aspects which are external to the project and for which the project developer has no control, such as weather conditions, demand, stock fluctuations, inflation, supplier’s delays, etc. It is believed that man

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Brief Introduction to Probability Distributions,itions show that it is not precisely the case. For this reason the uncertainty aspect has to be considered in projects preparation, and this is the objective of this chapter, by introducing statistic techniques.