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Decision Analysis for Operation and Maintenance Professionals



This program examines lean thinking and techniques for decision analysis with emphasis on the lean approach and responsiveness to the customer requirements. Decision-making is the most central human activity, intrinsic in our biology, and done both consciously and unconsciously. 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 the option or to examine the effect of changes introduced to initial judgments

Conference Objectives:

At the end of this conference the participants will be able to:

  • 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.

Targeted Audience:

  • Operation Professionals
  • Maintenance Professionals
  • Reliability Professionals
  • Key Operations Supervisors
  • Internal Improvement Consultants

Conference Outlines:

Unit 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

Unit 2: 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

Unit 3: 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)

Unit 4: 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

Unit 5: 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

Unit 6: 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

Unit 7: 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

Unit 8: 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

Unit 9: 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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