Risk Engineering Bridging Risk Analysis with Stakeholders Values / by A.V. Gheorghe, Ralf Mock.

Industrial development is essential to improvement of the standard of living in all countries. People's health and the environment can be affected, directly or indirectly by routine waste discharges or by accidents. A series of recent major industrial accidents and the effect of pollution highl...

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Bibliographic Details
Main Authors: Gheorghe, A.V (Author), Mock, Ralf (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Topics in Safety, Risk, Reliability and Quality, 6
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Risk Engineering in a Complex World
  • 1.1. Risk Engineering: An Outlook
  • 1.2. Integrated Risk Analysis, Risk Assessment, and Risk Management
  • 2. Introduction And Background to Risk Engineering
  • 2.1. General Outlines
  • 2.2. Risk Analysis and Risk Management
  • 2.3. Risk Analysis for Complex Industrial Systems; Socio Economic and Safety Implications
  • 2.4. Lessons to be Learned from the Swiss Project on Risk Analysis
  • 2.5. Cost-Benefit Analysis and Risk Engineering
  • 2.6. Designing Databases for Risk Assessment of Major Industrial Complexes
  • 2.7. Indicators in a Semiotic and Communicational Perspective
  • 3. Decision Sciences and Stakeholders Processes
  • 3.1. Decision Process in Risk Engineering and the Role of Models and Tools
  • 3.2. Overview of Decision Analysis
  • 3.3. Sensitivity Analysis
  • 3.4. Probability Encoding Techniques
  • 3.5. Advanced Techniques for DAP
  • 3.6. Decision Conferencing and Stakeholders Interaction
  • 3.7. Indicators and Their Integration for Decision Making Process
  • 4. Established Methods in Risk Engineering
  • 4.1. Selected Basic Methods
  • 4.2. Assessment of Failure Probabilities
  • 4.3. Consequence Assessments
  • 5. Fuzzy Logic in Risk Engineering
  • 5.1. Introduction and General Views
  • 5.2. Applications
  • 5.3. Risk Assessment with Fuzzy Logic
  • 6. “Fuzzy Risk Analysis” on Plant and Regional Level
  • 6.1. Basic Concepts
  • 6.2. Regional and Plant Specific Hazard-/Risk Judgement
  • 6.3. Environmental Risk Assessment with “Fuzzy Risk Analysis”
  • 6.4. Case Study: “Fuzzy Risk Analysis”
  • 7. Decision Support Systems in Risk Engineering
  • 7.1. Introduction
  • 7.2. The GIS Interface
  • 7.3. Map Editor
  • 7.4. Map Applications
  • 7.5. The Dispersion Model
  • 7.6. Path Outputs - Examples
  • 7.7. Multicriteria Optimisation of Transportation of Dangerous Goods in a Free Market Environment
  • 7.8. Conclusions
  • 8. Risk Engineering and Beyond
  • References.