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Maintenance Management Program

Duration: 1 Year

• To provide comprehensive knowledge of maintenance engineering systems and practices
• To develop advanced skills in maintenance planning, reliability, and asset management
• To introduce modern maintenance technologies and industrial best practices
• To prepare learners for professional maintenance and asset management roles

Upon completion, learners will be able to:
1. Design and implement maintenance management systems
2. Analyze equipment reliability and failure patterns
3. Apply advanced maintenance strategies (TPM, RCM)
4. Optimize maintenance resources and cost control
5. Use digital tools for maintenance management
6. Execute a maintenance management project

Module 1: Advanced Maintenance Management Systems

• Maintenance strategies (corrective, preventive, predictive, proactive)
• Total Productive Maintenance (TPM)
• Reliability-centered maintenance (RCM)
• Maintenance KPIs

Module 2: Reliability Engineering and Asset Management

• Reliability concepts and models
• Asset lifecycle management
• Availability and maintainability
• Equipment criticality analysis

Module 3: Failure Analysis and Diagnostics

• Failure mode analysis (FMEA/FMECA)
• Root cause analysis (RCA) techniques
• Condition monitoring tools
• Vibration and thermal analysis basics

Module 4: Maintenance Planning and Control Systems

• Computerized Maintenance Management Systems (CMMS)
• Work order management
• Job planning and resource allocation
• Maintenance scheduling optimization

Module 5: Industrial Equipment Maintenance

• Mechanical equipment maintenance
• Electrical system maintenance
• Hydraulic and pneumatic systems
• Lubrication systems and practices

Module 6: Spare Parts and Inventory Management

• Spare parts classification
• Inventory control techniques
• Just-in-time maintenance support
• Procurement systems

Module 7: Safety, Quality, and Environmental Maintenance

• Industrial safety in maintenance operations
• ISO 55000 asset management standards
• Environmental impact of maintenance
• Quality assurance in maintenance systems

Module 8: Digital Maintenance and Industry 4.0

• Predictive analytics in maintenance
• IoT in maintenance systems
• AI and machine learning applications
• Smart maintenance systems

Final Project
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