Conference on Decision Analysis for Operation and Maintenance Professionals

Overview:

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.