Why Attend
This program examines lean thinking and techniques for decision analysis with emphasize 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.
Instructor-led training that uses interactive learning methods, including class discussion, small group activities, and role-playing
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.
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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
Case Studies and Group Exercises
Day 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
Day 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)
Case Studies and Group Exercises
Day 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
Day 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
Case Studies and Group Exercises
Day 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
Day 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
Case Studies and Group Exercises
Day 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
Day 9& 10: 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
Examples of Approaches and Case Studies