Decision Analysis For Operation & Maintenance Professionals

Objectives

• Improve productivity through 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 own areas of responsibility, fitting them into the overall strategy, and measuring benefits.

Outline

 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
• Case Studies and Group Exercises

 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

 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)
• Case Studies and Group Exercises

 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
• Modeling Reliability of Systems
• Series and Parallel Systems
• The Redundancy Concept
• Types of Redundancy
• When to Use Redundancy

 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
• Case Studies and Group Exercises

 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
 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
• Case Studies and Group Exercises
 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

 Decision Analysis for Optimization 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

Who Should Attend ?

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