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