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Case Studies for Learning from Major Incidents

Decision Analysis for Operation & Maintenance Professionals

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Why Choose Us

The Case Studies for Learning from Major Incidents training course introduces a methodology for examining major disasters and supporting improvements in industrial safety. It investigates disaster root causes, preventive measures, and the practical application of risk, safety and reliability analysis. Analytical techniques are drawn from equipment failure reliability analysis, multiple criteria decision making and artificial intelligence. Decision-making extends beyond choosing the best alternative to prioritising options for resource allocation and evaluating changes to initial judgements.

The course is intended for participants from oil and gas, nuclear power generation, aviation, marine and process industries. It examines recognised case studies drawn from each of these sectors. Numerous examples support the study of modelling and decision analysis. Common themes provide generic lessons that can also benefit those working in other industries.

This Case Studies for Learning from Major Incidents training course will highlight:
  • Alternative approaches to learning from failures
  • Key aspects of risk management and risk assessment
  • Integration of risk analysis, reliability engineering, decision analysis and management science
  • Socio-technical dimensions of risk and disasters
  • Modelling and multiple criteria decision analysis
  • Practical application of Multi Criteria Decision-Making (MCDM)
  • Different operational research and management science methods
Why Choose Case Studies for Learning from Major Incidents
Course Goals

What are the Goals?

Upon completing this training course, participants will be able to:

  • Comprehend safety, risk and operational continuity
  • Build people management capabilities
  • Master methods for improving plant reliability
  • Carry out benchmarking and audits of quality systems
  • Use decision analysis methods
  • Optimise planning and scheduling resources and perform optimised failure analyses
  • Optimise asset management budgets by preventing unplanned equipment failures during service

Who is this Training Course for?

This Case Studies for Learning from Major Incidents training course is designed for:

  • Health and Safety Managers
  • Process Safety Managers
  • Incident Investigators
  • Operations Managers
  • Risk Managers
  • Emergency Response Managers
  • Asset Integrity Engineers
  • Reliability Engineers
  • Maintenance Managers
  • Compliance Managers
Learning Approach

How will this Training Course be Presented?

This Case Studies for Learning from Major Incidents training course will employ a range of established adult-learning methods to maximise understanding, comprehension and retention of the information delivered. This includes. This Tech course will use various proven adult-learning techniques to maximise understanding, comprehension and retention of the material presented. These include tutor facilitation, direct input, delegate discussions, case studies, reviews, interactive exercises and video. The proposed models and case studies addressed will be incorporated into the teaching, which also draws upon material from the research.

The Course Content

Safety Systems and Risk Management

  • Safety first
  • Learning from failures
  • Analyzing near misses, incidents & accidents
  • Taxonomy of theories
  • Nature of High Reliability Organisations (HRO)
  • Scope and significance of decisions
  • The Decision making process
  • The concept of best practice through learning from worst practice
  • Introduction to reliability and Weibull analysis
  • Risk assessment, Choice of case studies and types of recommendations

Continuity of Operations – Plant Systems Reliability

  • Coping with risks, and defining reliability and resilience
  • Reliability Centered Maintenance (RCM) techniques
  • Failure Modes and Effect Analysis (FMEA)
  • Risk Priority Number (RPN) and Iso Critical Curves
  • Fault Tree Analysis (FTA), Reliability Blok Diagram (RBD), and Reliability Cantered Maintenance (RCM)
  • The Criticality Matrix
  • Modelling Reliability of Systems
  • Series and Parallel Systems
  • The Redundancy Concept

A-Z of Disastrous Case Studies from Natural, Aviation, Marine, Space and Nuclear Industries

  • Hurricane Katrina Disaster (Natural Disasters and Evacuations)
  • NASA’s Challenger Disaster (Space Industry)
  • NASA’s Space Shuttle Columbia Disaster (Space Industry)
  • Titanic – The Unsinkable ship that sank (Ships Industry)
  • Exxon Valdez – Oil Spill Disaster
  • Case and generic lesson learned from Nuclear industry: Chernobyl Disaster (Nuclear Industry)
  • Fukushima Disaster (Nuclear Industry)
  • Group work and group presentations
  • Organizational Resilience and Learning from Failures and Success

Case Studies from Process Industry and Oil and Gas

  • Cases and generic lesson learned from Process industry: Bhopal Disaster (Petrochemical Industry in India)
  • Case and generic lesson learned from Oil and Gas industry:  Piper Alpha Disaster (Offshore Oil & Gas Industry)
  • BP Deep Water Horizon (Offshore Oil & Gas Industry)
  • BP Texas City Incident (Chemical and Process Industry)
  • Small Groups Presentations
  • Case and generic lesson learned from Nuclear industry: Chernobyl Disaster (Nuclear Industry)
  • Fukushima Disaster (Nuclear Industry)
  • Group work and group presentations
  • Organizational Resilience and Learning from Failures and Success

Multiple Criteria Decision Analysis using the Analytic Hierarchy Process (AHP) and Optimisation of Maintenance Activities

  • Definition of Decision Analysis
  • How, and Why, Bad Decisions are Made
  • Guidelines for Good Decision Analysis
  • What is AHP?
  • Benefit/Cost Analysis
  • Resources Allocation 
  • Optimum Decisions for Maintenance Policies
  • Key Features of Next Generation Maintenance Systems
  • How to transform Data to Decisions
  • Analysis and recommendations of Safety Barriers
Recognition

Certificate

  • • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.

Frequently Asked Questions

This course examines major incidents through case studies. It focuses on decision analysis from an operation and maintenance perspective. The course is designed to support learning from incidents by considering the decisions associated with them.
You will learn about major incidents using a case study approach. The course considers how decision analysis can help operation and maintenance professionals examine incidents. Specific incidents, methods, and learning outcomes are not listed in the available course information.
Decision analysis is the stated perspective used to examine major incidents in this course. It is framed specifically for operation and maintenance professionals. The course information does not specify particular decision-analysis tools or models.
The course focuses on learning from major incidents and analysing decisions connected with them. These areas are relevant to professional judgement in operation and maintenance contexts. No specific competency framework or assessed skills are provided in the course information.
The course is intended for operation and maintenance professionals. Its decision-analysis focus is directly relevant to people working in these professional areas. No additional audience requirements are specified in the course information provided.
The course uses major incidents as case studies for professional learning. This approach places incident-related decisions in context for analysis. The available course information does not identify which case studies are included.
Yes, the course is explicitly designed around the needs of operation and maintenance professionals. Major incident case studies are considered through a decision-analysis lens relevant to both areas. Separate topics for operations and maintenance are not detailed in the available information.
The course title confirms that major incidents are examined through case studies. However, the available course information does not name particular incidents or industries. Prospective participants should therefore not assume that a specific sector or event is included.