Decision Analysis for Operation and Maintenance Professionals

Introduction:

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 option, or to examine the effect of changes introduced to initial judgments

Targeted Groups:

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

Course Objectives:

At the end of this course 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 Competencies:

Breaking a problem down into its constituent parts or components, in the framework of a hierarchy
Establishing importance or priority to rank the alternatives is a comprehensive & general way to look at the problem in a formal manner
Application of Multi-Criteria Decision-Making (MCDM) to practical problems
Introduction to different operational research & management science methods
Enhance decision-making with goals and criteria & show how to measure and rank them

Course Content:

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

Maintenance, Inspection, Testing, Corrosion, Painting, Turnaround & Industrial Services