Decision Analysis for Operation and Maintenance Professionals

Created by LEC Team
Last updated Mon, 27-Mar-2023
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We need it to survive. Taking a decision is not just a question of selecting the best alternative. Often one needs to prioritize all the alternatives for resource allocation among a portfolio of option, or to examine the effect of changes introduced to initial judgments.

 

Course Objectives of Decision Analysis for Operation and Maintenance Professionals

  • Improve productivity through the use of better, timelier information.

  • Understand how world-class organizations solve common asset management problems.

  • Optimize planning and scheduling resources.

  • Carry out optimized failure analyses.

  • Optimize asset management budgets by the avoidance of unplanned equipment failures in service.

  • Develop a practical approach of an action plan to utilize these technologies in their areas of responsibility, fitting them into the overall strategy, and measuring benefits.



Day 1
Introduction to Decision Making
  • Scope and significance of Decisions

  • The Decision Making Process

  • Choosing Between Options by Projecting Likely Outcomes

  • Decision Tree Analysis: decision models; low probability, high-consequence events; valuing additional information and control

  • Monte Carlo Simulation: optimization; advantages and limitations

Implementing Multiple Criteria Decision Analysis

  • Definition of Decision Analysis

  • How, and Why, Bad Decisions are Made

  • Problems with Traditional Methods

  • Guidelines for Good Decision Analysis



Day 2
The Analytic Hierarchy Process (AHP)
  • What is AHP?

  • The Comparative Matrix

  • Consistency Analysis

  • Sensitivity Analysis

  • Benefit/Cost Analysis

  • Resources Allocation

  • Applications of the AHP (The Concorde Case, Maintenance Strategy, Highway planning)

Risk Management through Failure Mode & Effect Analysis (FMEA)

  • Risk Mitigation

  • Fault Tree analysis

  • Risk Priority Number

  • The Criticality Matrix

  • Equipment Criticality Grading

  • Cases from Oil and Gas Industry and others

  • Modelling Reliability of Systems

  • Series and Parallel Systems

  • The Redundancy Concept

  • Types of Redundancy

  • When to Use Redundancy



Day 3
MRP and ERP Systems
  • What is ERP and how did it develop

  • What is MRP System

  • What is MRPII System

  • Planning and Control

  • The Bill of Materials

  • Master Production Schedule

  • Scope of Decisions

Optimum Performance Measure

  • Challenges of Performance Measures

  • Performance Measures as a Continuous Improvement Process

  • Desirable Features in Maintenance Performance Measures

  • Best and Worst Practices in Performance Measures



Day 4
The Overall Equipment Effectiveness as a Source of Best Practice in Maintenance
  • Advantages of OEE as an Improvement Programme

  • Lean Maintenance through the Use of OEE

  • Analysis of the Six-Big Losses

The House of Quality

  • Basics of design evaluation

  • How to convert the voice of the customer to engineering solutions for a better design

  • Apply the concept of House of Quality in practical cases



Day 5
Decision Analysis for Optimisation of Maintenance Activities
  • How to get the most of your CMMS?

  • Benefits that can result from CMMS

  • Optimum Decisions for Maintenance Policies

  • Unmet needs in Responsive Maintenance

  • Key Features of Next Generation Maintenance Systems

  • How to transform Data to Decisions


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