Advanced Risk, Reliability and Safety Management Techniques
Who should attend?

This training course is highly recommended for all Operations, Maintenance, Reliability, Engineering and Technical Support staff. Also, this course is applicable to any person actively involved or contemplating safety, performance measurement, improvement and/or quality and reliability related activities This training course is suitable for a wide range of professionals but will greatly benefit:

  • Operations & Process Professionals
  • Reliability & Safety Professionals
  • Other professionals involved in process improvement
Duration
5 Days
Programme Overview

This training course examines advanced analytical techniques for risk, reliability and safety management. In doing so, we incorporate operational research methods and multiple criteria decision making and demonstrate their practical application to cases of major failures and disasters. The idea of the training course is to look at Learning from Failures. This will be through examining known and topical cases, as well as cases related to the particular own experience of the delegates. This will be based on the analysis of reported disasters with the aim of exploring techniques that can help us to understand the root causes of why those incidents occurred and how such crises unfold over time and hence how can we learn generic lessons from those disasters. This training course will cover state-of-the-art research in risk assessment and management, reliability engineering, decision analysis and safety management. This training course will feature:

  • How do we learn from failures?
  • An interdisciplinary approach, combining risk analysis, reliability engineering, decision analysis and management science
  • Feedback from the users (maintenance) to design
  • Application of advanced tools for safety and integrity
Objectives

This training course examines advanced analytical techniques for risk, reliability and safety management. In doing so, we incorporate operational research methods and multiple criteria decision making and demonstrate their practical application to cases of major failures and disasters.  The idea of the training course is to look at Learning from Failures. This will be through examining known and topical cases, as well as cases related to the particular own experience of the delegates. This will be based on the analysis of reported disasters with the aim of exploring techniques that can help us to understand the root causes of why those incidents occurred and how such crises unfold over time and hence how can we learn generic lessons from those disasters.   This training course will cover state-of-the-art research in risk assessment and management, reliability engineering, decision analysis and safety management.


This training course will feature:

  • How do we learn from failures?
  • An interdisciplinary approach, combining risk analysis, reliability engineering, decision analysis and management science
  • Feedback from the users (maintenance) to design
  • Application of advanced tools for safety and integrity
Methodology
This training course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. This includes tutor facilitation, direct input, delegate discussions, case studies, reviews, interactive exercises, and video.
Course Outline

Day One: Why there is a need for Advanced Risk, Reliability and Safety Management Techniques?

  • What is Risk, and Hazard?
  • Advantages and Disadvantages of Risk Management
  • Proactive Vs Reactive Attitudes towards Risk
  • Qualitative and Quantitative Risk Analysis
  • What is Reliability Engineering?
  • Choice of Models and Existing Assumptions

Day Two: The Concept of Generic Lessons & Benchmarking

  • Attributes of the generic lessons
  • Best practice of learning from failures from different industries
  • Best practice can be learned from worst practice
  • The ten generic lessons and the three underpinning factors
  • What is benchmarking? History of benchmarking
  • Different methods of benchmarking and how they relate to each other

Day Three: A Framework of Learning and Unlearning Excellence

  • Adaptive organizational learning
  • Routine dynamics
  • The Decision-Making Grid (DMG) model
  • The Jack-knife Diagram (JKD) for assessing failures
  • A framework for analyzing near-misses and failures
  • High severity with low frequency versus high severity with high frequency

Day Four: Other Frameworks/Models of Learning from Incidents

  • The FRAM Model
  • The Three Loops Learning Framework.
  • The AcciMap Model
  • Attributes of Organisational Crises
  • Small Groups Activities
  • Groups Presentations

Day Five: Towards Achieving Organisational Excellence

  • A framework for Benchmarking of Resilience
  • Towards an Operational Excellence Award
  • Small Groups Activities
  • Group Projects and Presentations
  • Rap up, Reflection, and Personal and Organizations Plans



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