Course Overview
This 5-day intensive program equips maintenance planners, schedulers, and supervisors with best practices for efficient work planning, resource scheduling, and maintenance workflow optimization. Participants will master CMMS utilization, job package development, and KPI tracking to maximize workforce productivity and equipment reliability.
Course Objectives
Upon completion, participants will be able to:
- Develop comprehensive maintenance job plans (labor, materials, tools)
- Optimize preventive maintenance (PM) schedules
- Create realistic work schedules using critical path methods
- Estimate labor hours and resource requirements accurately
- Manage work orders through complete lifecycle
- Apply lean principles to eliminate planning waste
- Track and improve planning KPIs (schedule compliance, wrench time)
- Utilize CMMS/EAM systems effectively
Who Should Attend
This course is essential for:
- Maintenance Planners & Schedulers
- Reliability Engineers
- Maintenance Supervisors
- CMMS Administrators
- Operations Coordinators
- Plant Managers
- Technical Services Engineers
Course Modules
Module 1: Maintenance Planning Fundamentals
- Role of planning in asset reliability
- Planning vs. scheduling distinctions
- Work identification and prioritization
- Maintenance strategies (reactive to predictive)
Module 2: Job Plan Development
| Component | Planning Considerations |
| Labor | Skills, crew size, work duration |
| Materials | Parts availability, kitting |
| Tools/Equipment | Special tool requirements |
| Documentation | Procedures, drawings, manuals |
Module 3: Advanced Scheduling Techniques
- Resource leveling methods
- Gantt chart applications
- Shutdown planning
- Schedule compliance tracking
Module 4: CMMS/EAM Mastery
- Work order lifecycle management
- PM template configuration
- Inventory integration
- Mobile workforce enablement
Module 5: Planning KPIs & Continuous Improvement
- Wrench time analysis
- Plan accuracy metrics
- Backlog management
- Planning maturity assessment
Module 6: Lean Maintenance Planning
- Waste identification in maintenance
- Standardized work packages
- Visual planning boards
- Rapid planning techniques
Module 7: Digital Transformation
- IoT integration for predictive scheduling
- AI-assisted planning
- Digital twin applications
- Advanced analytics for planning