Introduction:

This conference examines lean thinking and decision analysis techniques, with an emphasis on a lean approach and responsiveness to customer requirements. It provides participants with the skills needed to optimize operational and maintenance decisions.

Conference Objectives:

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

Improve productivity through the use of timely and accurate information.
Understand how world-class organizations solve common asset management problems.
Optimize the planning and scheduling of resources.
Conduct optimized failure analyses.
Develop asset management budgets that avoid unplanned equipment failures.
Create actionable strategies for implementing advanced decision analysis in their areas of responsibility.

Target Audience:

Operations Professionals.
Maintenance Professionals.
Reliability Engineers.
Key Operations Supervisors.
Internal Improvement Consultants.

Program Outline:

Unit 1:

Introduction to Decision Making in Operations and Maintenance:

The significance of decision-making in operational contexts.
Decision-making processes: how they affect outcomes.
Projecting outcomes for better resource allocation.
Decision Tree Analysis: evaluating decisions with low-probability, high-impact outcomes.
Monte Carlo Simulation for risk assessment and decision optimization.

Unit 2:

Implementing Multiple Criteria Decision Analysis (MCDA):

Definition and application of Decision Analysis.
Understanding why bad decisions occur and how to avoid them.
Limitations of traditional decision-making approaches.
Guidelines for effective decision analysis using multiple criteria.

Unit 3:

Analytic Hierarchy Process (AHP) and Resource Allocation:

Introduction to the AHP methodology.
Comparative matrices and consistency analysis.
Sensitivity analysis for decision validation.
Applications of AHP in maintenance strategies, resource planning, and case studies.
Benefit/Cost analysis for effective resource allocation.

Unit 4:

Risk Management through Failure Mode & Effect Analysis (FMEA):

Basics of FMEA for risk management.
Fault Tree analysis and how it aids in risk mitigation.
Risk Priority Number (RPN) and the Criticality Matrix.
Equipment Criticality Grading in asset management.

Unit 5:

Managing ERP and MRP Systems for Operational Efficiency:

Evolution of ERP and MRP systems in managing operations.
The difference between MRP, MRPII, and ERP.
Role of ERP in planning and control, including the Bill of Materials and production schedules.
How ERP/MRP systems improve decision-making in maintenance.
Scope of decisions within ERP systems for operational success.

Unit 6:

Optimum Performance Measures in Maintenance Management:

The importance of performance measures in continuous improvement.
Defining and implementing effective performance indicators.
Identifying desirable and undesirable features of maintenance KPIs.
Best and worst practices in performance measurement.
How performance measures drive maintenance strategies.

Unit 7:

Using Overall Equipment Effectiveness (OEE) for Best Practices:

Defining OEE and its role in improvement initiatives.
Applying lean maintenance strategies through OEE.
Analysis of the Six Big Losses and how to minimize them.
Integrating OEE into day-to-day maintenance operations.
Benefits of OEE in long-term asset management.

Unit 8:

House of Quality and Customer-Driven Design Solutions:

Basics of design evaluation using the House of Quality methodology.
Converting customer feedback into actionable engineering solutions.
Practical applications of the House of Quality in optimizing design for better performance.
Aligning customer needs with operational and maintenance decisions.
How to use the House of Quality to maintain continuous improvement.

Unit 9:

Optimizing Maintenance Decisions Using Data and CMMS:

Leveraging computerized maintenance management systems (CMMS) for better decision-making.
How CMMS can optimize maintenance scheduling and resource allocation.
Using data from CMMS to analyze and improve maintenance activities.
Benefits of integrating CMMS into asset management strategies.
Future trends in CMMS for maintenance optimization.

Unit 10:

Continuous Improvement in Decision-Making for Operations and Maintenance:

Importance of continuous improvement in operational decisions.
Establishing feedback loops for refining decision-making processes.
Tools for reviewing and enhancing decision frameworks.
Learning from past decisions to improve future outcomes.
Long-term strategies for embedding decision analysis into organizational culture.

Conference on Decision Analysis for Operation and Maintenance Professionals