Master Decision Analysis for O&M: 5-Day Intensive Course

Master decision analysis for operations and maintenance in this 5-day course. Learn key techniques, tools, and strategies to make better decisions in your O&M role.

Course Description

This intensive 5-day course equips operation and maintenance professionals with advanced decision analysis skills. Participants will learn to apply structured decision-making techniques, utilize decision trees, and incorporate risk assessment in their daily operations. The course combines theoretical concepts with practical applications, ensuring immediate value in the workplace.

Learning Objectives

  • Apply decision analysis frameworks to complex O&M scenarios
  • Construct and interpret decision trees for operational choices
  • Integrate risk assessment techniques into maintenance planning
  • Utilize probabilistic modeling for equipment reliability analysis
  • Implement value of information concepts in maintenance strategies

Course Modules

Day 1: Foundations of Decision Analysis in O&M

  • Introduction to decision analysis principles
  • Structuring O&M decisions
  • Framing problems in maintenance contexts
  • Decision quality framework for operations

Day 2: Decision Trees and Probabilistic Modeling

  • Constructing decision trees for maintenance choices
  • Probability assessment in operational uncertainties
  • Expected value calculations for equipment decisions
  • Sensitivity analysis in O&M contexts

Day 3: Risk Assessment and Management in O&M

  • Risk identification in operational environments
  • Quantitative risk analysis techniques
  • Risk mitigation strategies for maintenance
  • Integrating risk in decision-making processes

Day 4: Value of Information in Maintenance Decisions

  • Concepts of perfect and imperfect information
  • Calculating value of information for maintenance data
  • Applying VOI to condition monitoring decisions
  • Information gathering strategies in O&M

Day 5: Advanced Topics and Practical Applications

  • Multi-criteria decision analysis for O&M
  • Group decision-making in operational teams
  • Cognitive biases in maintenance decisions
  • Case studies and real-world applications

Practical Wins for Participants

  • Improved ability to make data-driven maintenance decisions
  • Enhanced risk management in daily operations
  • Increased efficiency in resource allocation for maintenance
  • Better justification of O&M investments to management

Credits: 5 credit per day

Course Mode: full-time

Provider: Blackbird Training Centre

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