Pideya Learning Academy

Predictive and Preventive Maintenance Strategies

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
13 Jan - 17 Jan 2025 Live Online 5 Day 2750
31 Mar - 04 Apr 2025 Live Online 5 Day 2750
28 Apr - 02 May 2025 Live Online 5 Day 2750
19 May - 23 May 2025 Live Online 5 Day 2750
11 Aug - 15 Aug 2025 Live Online 5 Day 2750
22 Sep - 26 Sep 2025 Live Online 5 Day 2750
17 Nov - 21 Nov 2025 Live Online 5 Day 2750
08 Dec - 12 Dec 2025 Live Online 5 Day 2750

Course Overview

In an increasingly competitive and high-stakes industrial environment, organizations across sectors are under immense pressure to reduce equipment downtime, extend asset life, and optimize operational costs. Amidst this growing demand, the ability to implement well-structured Predictive and Preventive Maintenance Strategies has emerged as a cornerstone of operational efficiency. Pideya Learning Academy introduces this industry-oriented training program to help organizations transition from reactive firefighting to a proactive and preventive maintenance culture—delivering long-term sustainability and enhanced productivity.
The Predictive and Preventive Maintenance Strategies course by Pideya Learning Academy is designed to equip engineering, maintenance, and operations professionals with the methodologies and frameworks needed to implement a modern, efficient, and scalable maintenance program. Participants will explore a comprehensive suite of maintenance planning approaches, failure detection techniques, and strategic resource allocation tools aimed at improving equipment reliability, minimizing operational risks, and enhancing safety.
Globally, the importance of predictive and preventive maintenance is supported by strong industry data. According to the U.S. Department of Energy, preventive maintenance results in savings of 12–18% over reactive maintenance. Furthermore, McKinsey & Company reports that companies adopting predictive maintenance strategies can reduce downtime by as much as 50%, while also increasing machine lifespan by 20–40%. These findings underscore the growing need for structured maintenance practices to stay ahead in competitive and asset-intensive sectors like manufacturing, energy, oil and gas, utilities, and transportation.
Throughout this course, Pideya Learning Academy provides participants with a focused understanding of key principles and decision-making strategies. The curriculum spans essential topics such as equipment criticality ranking, failure modes analysis, risk-based inspection planning, and the use of digital tools like Computerized Maintenance Management Systems (CMMS). The training helps participants understand how to design and maintain a preventive maintenance schedule, measure maintenance performance metrics, and align maintenance activities with business priorities.
A key feature of this course is its emphasis on real-world operational alignment. Participants will learn how to prioritize maintenance tasks based on asset criticality, reduce response time through better maintenance coordination, and effectively plan resource allocation. In addition to the core learning, the training includes the following integrated key highlights:
Development of asset-specific maintenance schedules that align with safety and productivity goals.
Reduction of emergency breakdowns through early detection methods and condition-based maintenance.
Optimized workforce utilization with clearly defined maintenance roles and job planning.
Improved inventory management through forecasting of spares and materials demand.
Elimination of repetitive failures by addressing root causes rather than symptoms.
Strategic energy optimization by monitoring asset performance and reducing waste.
Reinforcement of safety and compliance through structured fault identification and system reliability.
By incorporating these elements, Pideya Learning Academy ensures that participants not only learn the theory behind predictive and preventive maintenance but also gain actionable knowledge that can be directly applied in their daily roles. Participants will leave this training empowered to create measurable improvements in equipment uptime, cost efficiency, and workplace safety—all of which are key performance indicators for long-term operational success.
Whether you are overseeing maintenance in a high-volume manufacturing line, managing critical infrastructure assets, or leading a maintenance transformation program, this course offers the insight and confidence you need to drive results. The Predictive and Preventive Maintenance Strategies course from Pideya Learning Academy stands out for its structured, industry-aligned content and expert-led delivery—ensuring organizations are well-positioned to future-proof their maintenance operations and stay ahead of industry demands.

Key Takeaways:

  • Development of asset-specific maintenance schedules that align with safety and productivity goals.
  • Reduction of emergency breakdowns through early detection methods and condition-based maintenance.
  • Optimized workforce utilization with clearly defined maintenance roles and job planning.
  • Improved inventory management through forecasting of spares and materials demand.
  • Elimination of repetitive failures by addressing root causes rather than symptoms.
  • Strategic energy optimization by monitoring asset performance and reducing waste.
  • Reinforcement of safety and compliance through structured fault identification and system reliability.
  • Development of asset-specific maintenance schedules that align with safety and productivity goals.
  • Reduction of emergency breakdowns through early detection methods and condition-based maintenance.
  • Optimized workforce utilization with clearly defined maintenance roles and job planning.
  • Improved inventory management through forecasting of spares and materials demand.
  • Elimination of repetitive failures by addressing root causes rather than symptoms.
  • Strategic energy optimization by monitoring asset performance and reducing waste.
  • Reinforcement of safety and compliance through structured fault identification and system reliability.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn:
How to maximize equipment availability and productivity at the lowest total cost.
Strategies to significantly reduce system breakdowns and emergency shutdowns.
Methods to efficiently utilize human and material resources in maintenance planning.
Approaches for optimizing spare parts inventory and procurement cycles.
Techniques to minimize energy consumption through preventive maintenance planning.
Steps to build a long-term preventive maintenance culture within the organization.

Personal Benefits

Ability to design and implement preventive maintenance strategies confidently.
Strengthened skills in maintenance planning, scheduling, and resource allocation.
Improved analytical thinking to solve recurring equipment challenges.
Expanded knowledge of CMMS systems and modern maintenance frameworks.
Increased recognition as a maintenance leader and change enabler.

Organisational Benefits

Enhanced equipment reliability and operational uptime.
Reduced total maintenance costs and emergency interventions.
Increased return on assets through structured maintenance processes.
Improved safety and compliance with regulatory standards.
Better coordination between maintenance, operations, and supply chain teams.

Who Should Attend

This course is designed for:
Maintenance Engineers and Supervisors
Reliability and Asset Integrity Professionals
Plant Engineers and Facility Managers
Operations and Production Supervisors
Technical and Support Engineers involved in asset maintenance planning
Anyone seeking to improve preventive maintenance efficiency and results

Course Outline

Module 1: Fundamentals of Maintenance Engineering
Core concepts and functions of maintenance Classification of maintenance approaches Strategic importance of maintenance in asset performance Roles and responsibilities in maintenance teams Common deficiencies in maintenance management systems
Module 2: Maintenance Workflows and Request Management
Categories of maintenance work orders Reactive vs. preventive work requests Standard operating procedures for work approvals Maintenance job planning and documentation
Module 3: HVAC Systems Maintenance
Air Handling Units (AHU) servicing Fan Coil Unit (FCU) operation and upkeep Central chiller maintenance Boiler inspection and efficiency testing Troubleshooting common HVAC faults
Module 4: Electrical Systems and Power Infrastructure
Transformer condition monitoring Generator inspection routines Switchgear and substation reliability Power distribution and cable fault diagnosis Electrical load testing and insulation resistance
Module 5: Building and Construction Facilities Management
Building management systems (BMS) Civil maintenance for structural integrity Maintenance of interior and exterior finishes Access control and lighting systems
Module 6: Utilities and Critical Infrastructure Maintenance
Plumbing system maintenance and leak detection Natural gas and LPG system safety checks Water and wastewater pumping station upkeep Sewerage system performance monitoring
Module 7: Mechanical Workshop Operations
Welding equipment calibration Lathe and milling machine maintenance Workshop safety protocols Tool inventory control
Module 8: Communication and Safety Systems
Telephone and LAN cabling systems Emergency communication systems Fire detection and alarm system inspection Integration of fire suppression and safety circuits
Module 9: Audiovisual and Classroom Technologies
Smart classroom technology checks Cable TV distribution systems AV equipment lifecycle tracking
Module 10: Corrective and Preventive Maintenance Techniques
Breakdown response protocols Scheduled equipment inspection routines Differences and integration between CM and PM Standardized maintenance task templates
Module 11: Equipment Coding and Asset Tracking
Equipment tagging standards (RFID, barcodes) Classification and hierarchy of systems Digital filing systems for maintenance history Documenting service records and lifecycle data
Module 12: Preventive Maintenance Planning
Types of preventive maintenance strategies Maintenance planning timeframes: daily, weekly, monthly Seasonal maintenance task mapping Prioritization of maintenance activities
Module 13: Resource and Spare Parts Optimization
Inventory control for critical spares Lead time analysis and reorder points Resource leveling and manpower scheduling Maintenance cost estimation
Module 14: Computerized Maintenance Management Systems (CMMS)
Features and functionalities of CMMS platforms Work order tracking and automation Reporting and analytics dashboards Integrating CMMS with ERP systems
Module 15: Predictive Maintenance and Condition Monitoring
Predictive maintenance overview Vibration and thermal analysis Oil sampling and wear particle analysis Ultrasound and acoustic emission techniques
Module 16: Proactive Maintenance and Risk Mitigation
Dynamic vs. time-based maintenance Condition-based monitoring strategy Reliability enhancement planning Integration of risk-based inspection (RBI)
Module 17: Maintenance Costing and Budget Control
Cost-benefit analysis of PM programs Lifecycle costing (LCC) and asset optimization Return on maintenance investment (ROMI) Capital expenditure planning for upgrades
Module 18: Procurement and Quality Assurance in Maintenance
Developing technical purchase specifications Vendor prequalification and selection Incoming material inspection and acceptance testing Documentation and compliance requirements
Module 19: Root Cause Analysis and Fault Investigation
Root Cause Failure Analysis (RCFA) techniques Cause-and-effect diagrams (Fishbone, 5 Whys) Failure mode data collection and trend analysis Implementing corrective and preventive actions (CAPA)
Module 20: Advanced Maintenance Optimization Tools
Reliability Centered Maintenance (RCM) Failure Modes and Effects Analysis (FMEA) Total Productive Maintenance (TPM) implementation Key performance indicators and benchmarking Maintenance performance analytics using statistical tools
Module 21: Strategic Maintenance Excellence
Maintenance policy development Maintenance maturity assessment Sustainable maintenance practices Aligning maintenance with organizational goals

Have Any Question?

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