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Risk Management and Analysis

Scholar Year: 2015/2016 - 1S

Code: MSHT10118    Acronym: AGR
Scientific Fields: Tecnologia e Organização Industrial

Instance: 2015/2016 - 1S

Secção: Department of Organizational Behavior and Human Resource Management

Courses

Acronym Nº of students Study Plan Curricular year ECTS Contact hours Total Time
MSHT 18 5,0 40 136,0

Docência - Horas

Theoretical-practical : 2,9

Type Teacher Classes Hours
Theoretical-practical Totals 1 2,90
Maria Pereira   0,53


Docência - Responsabilidades

TeacherResponsability
Filipe José Didelet PereiraHead

Teaching weeks: 15

Teaching language

Portuguese

Objetivos de aprendizagem

providing analysis and decision models for risk management

Contents

Introduction and objectives
Concepts, Definitions and techniques commonly used: fault trees. Trees events. THERP
historical background
Modeling human errors
Events type and models of analysis of human reliability. The role of cognitive models. Perspective of human performance models. Relationship between cognitive models and models of human reliability - time role
General Procedure analysis
Identification of human actions (types of error)
Human errors in fault trees. maintenance and calibration errors. Modeling human errors in fault trees. Human errors in trees of events. Merger identified specific events in models
Initial estimate of human error
Selection of human actions for detailed analysis
final estimate of human error
Detailed analysis. Development of human actions. Representation of human action. Impact assessment. Quantification: Error type 1 and manual actions. Quantification of type 3 actions
Development factors of performance contextualized way: Factors influencing performance. Ranges of values for serial factor. Descriptors series sets
Dependency Analysis


Teaching Procedures

40 Contact hours (in class), 60 hours for practical work and 36 study to conduct a written evaluation. This corresponds to 5 ECTS defined for this course.

Evaluation Type

Frequency Attainment

2 works

Final Classification

NF=0.8NW1+0,2NW2

Classification Improvement

works improvement

Options
Página gerada em: 2024-04-28 às 21:46:34