Engineering Risk-Benefit Analysis

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Course facts
  • Payment: Free, no certificate
  • Credits: Non Credit
  • Learning style: Self-paced, start anytime
  • Resources: Lecture Notes; Problem Sets
MIT OpenCourseWare details
  • As taught in: Spring 2007
  • Department: Engineering Systems Division, Civil and Environmental Engineering, Mechanical Engineering, Materials Science and Engineering, Electrical Engineering and Computer Science, Chemical Engineering, Aeronautics and Astronautics, Nuclear Science and Engineering
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Course Details
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Start Anytime

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All Levels

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100% Online

Outcomes
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Non Credit

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Free Content (No Certificate)

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Academic Level

Graduate

SKU: engineering-risk-benefit-analysis Category: Brand:

Reliability and probabilistic risk assessment, decision analysis and cost-benefit analysis for large engineering projects under uncertainty.

At a glance
LevelAll Levels
AccessFree access
FormatText Based
As taught inSpring 2007
DepartmentEngineering Systems Division, Civil and Environmental Engineering, Mechanical Engineering, Materials Science and Engineering, Electrical Engineering and Computer Science, Chemical Engineering, Aeronautics and Astronautics, Nuclear Science and Engineering
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Large engineering projects, such as nuclear power reactors, the International Space Station and critical infrastructure, carry risks to safety, the environment and budgets that must be weighed before anyone builds. This course teaches three methods for deciding under that kind of uncertainty: reliability and probabilistic risk assessment, decision analysis, and cost-benefit analysis. Each is taught with its assumptions and practical limits in view, along with how formal analysis is used in public decisions.

What You Will Achieve

  • Model component and system reliability with probability distributions and availability
  • Carry out a probabilistic risk assessment and use it in risk management
  • Build a multistage decision model and compute the value of perfect information
  • Compare project alternatives with cost-benefit analysis, including uncertainty and the time value of money


Program Overview

Reliability and Risk

Probability and statistics applied to how systems fail.

  • The logic of certainty and elements of probability theory
  • Probability distributions and availability
  • Data and epistemic uncertainties
  • Probabilistic risk assessment and risk management

Deciding Under Uncertainty

Choosing rationally when outcomes are uncertain.

  • The multistage decision model
  • The value of perfect information
  • Axioms of rational behavior, utility and risk aversion
  • Multiattribute utility theory

Weighing Costs and Benefits

Weighing alternatives over time, including public projects.

  • Background and fundamental premises
  • The time value of money and bases for comparison
  • Including uncertainty
  • Evaluating public activities

Course Completion


Job Outlook

These methods are used in safety and reliability engineering, project appraisal, infrastructure planning and regulatory risk analysis.


Our take

Good for: Engineers and system managers who need to weigh safety, cost and uncertainty in one framework.

Keep in mind: A spring 2007 course: the materials are lecture notes and problem sets drawn from the reference texts, while the guest lectures and weekly tutorials were held on campus.

Bottom line: Three decision tools for risky engineering projects, taught with their assumptions and limits on the table.

Frequently Asked Questions

Which books does the course draw on?

There is no single textbook. The problem sets come from reference texts, among them Hoyland and Rausand on system reliability, Clemen's Making Hard Decisions, and Thuesen and Fabrycky's Engineering Economy.

Where do the decision analysis notes come from?

They draw on the 1978 course manual Decision Analysis by Alvin Drake and Ralph Keeney, and the cost-benefit notes come from material first developed by Amedeo Odoni.

Which projects does it use as examples?

The issues it addresses include nuclear power reactors, the International Space Station, critical infrastructure, new product development, processes with environmental externalities and infrastructure renewal.

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