Why Choose Maintenance Planning & Scheduling in the Digital Transformation Age Training Course?

The Maintenance Planning & Scheduling Course equips maintenance professionals with the frameworks, digital tools, and best practices needed to plan and schedule maintenance operations effectively in an increasingly technology-driven environment.

Maintenance planning and scheduling sit at the core of operational performance. When done well, they reduce unplanned downtime, optimise resource utilisation, extend asset life, and drive measurable improvements in reliability. When done poorly, the consequences cascade across the entire operation.

This course addresses both the fundamentals and the future — covering traditional planning principles alongside the digital transformation technologies reshaping maintenance today. Delegates gain hands-on exposure to CMMS and EAM systems, predictive maintenance tools, IoT integration, and advanced scheduling software.

The Maintenance Planning & Scheduling Course is built for professionals who want to move beyond reactive maintenance and build a structured, data-driven planning capability that delivers consistent, measurable results.

What are the Goals?

The Maintenance Planning & Scheduling Course is designed to develop practical, end-to-end capability in maintenance planning and scheduling — from foundational principles through to digital tool implementation and continuous improvement.

By the end of this course, participants will be able to:

  • Explain the key principles of maintenance planning and scheduling and their impact on operational performance
  • Define the roles and responsibilities of maintenance planners and schedulers within an effective maintenance organisation
  • Identify and evaluate emerging digital technologies reshaping maintenance planning and scheduling
  • Assess the benefits and challenges of adopting digital tools and develop integration strategies
  • Use CMMS and EAM systems effectively to support planning, scheduling, and data management
  • Apply predictive maintenance and IoT technologies for proactive maintenance planning
  • Develop robust maintenance planning frameworks based on asset criticality and reliability principles
  • Create effective maintenance schedules incorporating preventive, predictive, and corrective strategies
  • Optimise resource allocation and workload balancing across maintenance operations
  • Apply continuous improvement and performance measurement practices to drive planning excellence

Who is this Training Course for?

The Maintenance Planning & Scheduling Course is designed for maintenance and reliability professionals responsible for planning, scheduling, and optimising maintenance operations — who want to strengthen their capability and embrace digital tools to improve outcomes.

This course is suitable for:

  • Maintenance planners and schedulers seeking to formalise and advance their technical skills
  • Maintenance managers and supervisors responsible for operational performance and resource management
  • Reliability engineers looking to integrate predictive maintenance and digital tools into planning processes
  • CMMS and EAM administrators responsible for system optimisation and data quality
  • Asset managers developing maintenance strategies aligned with organisational reliability goals
  • Operations professionals involved in maintenance strategy development and continuous improvement
  • Digital transformation leads overseeing the adoption of maintenance technology within their organisations
  • Graduate engineers and technical professionals building a structured foundation in maintenance planning

How will this Training Course be Presented?

This Course is delivered through a structured, progressive learning approach that moves from foundational planning principles through to advanced digital tools, best practice implementation, and real-world problem solving. Each day builds on the previous, ensuring delegates develop an integrated understanding of modern maintenance planning.

Hands-on exposure to digital tools and case study analysis are built throughout the course, connecting theoretical frameworks to practical application.

Delivery methods include:

  • Instructor-led sessions covering planning fundamentals, digital transformation trends, and maintenance strategy principles
  • Digital tool workshops providing hands-on training with CMMS, EAM, and advanced scheduling platforms
  • Case study analysis examining successful digital transformation initiatives in maintenance environments
  • Predictive maintenance and IoT sessions exploring how emerging technologies enable proactive planning
  • Scheduling framework exercises developing maintenance schedules based on asset criticality and reliability data
  • Resource optimisation workshops covering workload balancing and allocation best practices
  • Change management sessions addressing the people and process challenges of digital adoption
  • Group discussions on real-world scenarios helping delegates apply course learning to challenges in their own organisations

The Course Content

  • Introduction to maintenance planning and scheduling
  • Importance of effective planning and scheduling in maintenance operations
  • Key principles and concepts in maintenance planning and scheduling
  • Role of maintenance planners and schedulers
  • Overview of traditional vs. digital approaches
  • Overview of digital transformation in the maintenance industry
  • Emerging technologies and trends shaping maintenance planning and scheduling
  • Benefits and challenges of adopting digital tools and technologies
  • Case studies highlighting successful digital transformation initiatives
  • Strategies for integrating digital solutions into existing maintenance processes
  • Introduction to maintenance management systems (CMMS/EAM)
  • Overview of advanced planning and scheduling software
  • Hands-on training with popular digital tools and platforms
  • Best practices for data management and analysis
  • Utilizing predictive maintenance and IoT for proactive planning
  • Developing a robust maintenance planning framework
  • Creating effective maintenance schedules based on asset criticality and reliability
  • Optimizing resource allocation and workload balancing
  • Incorporating preventive, predictive, and corrective maintenance strategies
  • Continuous improvement and performance measurement
  • Identifying common challenges in maintenance planning and scheduling
  • Strategies for overcoming obstacles and roadblocks
  • Change management considerations for successful implementation
  • Building a culture of reliability and accountability
  • Case studies and group discussions on real-world scenarios

Certificate

  • AZTech Certificate of Completion for delegates who attend and complete the training course

In Partnership With

Anderson Copex Coventry

Do you want to learn more about this course?

Register now or contact our team to discuss schedules, delivery formats, and customised options.

Related Courses

Check out other training courses might interest you

Frequently Asked Questions

Common questions about our training courses

This course is designed for maintenance planners, schedulers, maintenance managers, reliability engineers, and CMMS administrators who want to strengthen their planning capability and build confidence with digital maintenance tools. It is equally valuable for professionals newer to maintenance planning who want to develop a structured, practical foundation from the outset.  

Delegates gain hands-on exposure to CMMS and EAM systems, advanced planning and scheduling software, predictive maintenance tools, and IoT-enabled planning technologies. The course is structured to ensure delegates not only understand what these tools do, but leave with the practical confidence to evaluate, implement, and use them in their own maintenance environments.  

Day 4 focuses on building a robust maintenance planning framework — covering how to structure planning processes, create schedules based on asset criticality and reliability, balance workload, and incorporate preventive, predictive, and corrective maintenance strategies. Delegates leave with a clear blueprint they can adapt and apply directly within their organisations.  

CMMS and EAM systems are the operational backbone of modern maintenance planning. This Maintenance Planning & Scheduling Course covers how to use these systems effectively — from data management and analysis to scheduling, resource tracking, and performance measurement. Delegates who already use these systems will significantly deepen their capability; those new to them will develop a strong working foundation.  

A basic familiarity with maintenance operations is helpful, but the course begins with planning and scheduling fundamentals before progressing to more advanced topics. Delegates at different levels of experience — from those new to planning roles to experienced professionals looking to modernise their approach — will find the content directly relevant and applicable.  

The course dedicates specific sessions to predictive maintenance, IoT integration, and asset criticality-based scheduling — the core capabilities that shift a maintenance operation from reactive firefighting to proactive, reliability-focused planning. Delegates develop a practical framework for implementing these approaches within their existing maintenance processes.  

 A full day is dedicated to digital transformation — covering the benefits and challenges of adopting new technologies, strategies for integrating digital solutions into existing processes, and real-world case studies of successful transformation initiatives. Delegates also explore change management considerations, equipping them to lead or support digital adoption within their organisations.  

The course covers performance measurement, KPI development, and continuous improvement practices specific to maintenance planning and scheduling. Delegates learn how to identify improvement opportunities, measure planning effectiveness, and build a culture of reliability and accountability — ensuring that planning performance improves over time rather than plateauing.  

Related Categories

Related Articles