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Classroom 6 Sessions
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Training Course Overview

Maintenance Scheduling Training Course focuses on optimizing asset performance, reducing downtime, and improving maintenance efficiency through advanced digital technologies. This Maintenance Scheduling using Big Data, IoT and Agent Based Simulation Training Course introduces data-driven maintenance planning techniques that enable organizations to predict failures and schedule maintenance precisely when and where it is needed.

Traditional maintenance planning is no longer sufficient in today’s complex industrial environments. This course explores how Big Data, IoT systems, and agent-based simulation improve forecasting accuracy and decision-making in maintenance operations. Participants will learn how to analyze real-time data, simulate asset behavior, and optimize maintenance schedules using modern predictive technologies.

Through practical applications and simulation-based learning, this maintenance scheduling course helps professionals reduce lifecycle costs, improve reliability, and enhance operational readiness. It provides a strong foundation in combining analytics, simulation, and maintenance strategy for smarter asset management.

Training Course Objectives

Maintenance Scheduling Course objectives focus on developing practical skills in predictive maintenance planning using Big Data, IoT, and simulation-based tools. This training course enhances the ability to optimize maintenance schedules and improve asset reliability through advanced analytics.

By attending this training course, participants will be able to:

  • Understand the importance of effective maintenance planning and scheduling
  • Apply Big Data and predictive analytics for maintenance optimization
  • Utilize IoT technologies for real-time monitoring and maintenance automation
  • Understand and apply agent-based simulation for maintenance planning
  • Analyze and interpret maintenance data for decision-making improvements
  • Optimize maintenance schedules using simulation-based tools such as AnyLogic

Designed for

Maintenance Scheduling Training Course is designed for professionals involved in maintenance planning, data analysis, and asset management who want to enhance their skills in predictive and simulation-based maintenance strategies. This course supports individuals working in data-driven and operational environments.

This training course will greatly benefit:

  • Procurement planners, maintenance planners, and asset managers
  • Data scientists and data analysts working with industrial systems
  • Logistics and supply chain planners involved in maintenance operations
  • Maintenance and operations professionals managing asset performance
  • Engineers and specialists involved in predictive maintenance systems

Learning Methods

Maintenance Scheduling Training Course uses an interactive, simulation-based learning approach to ensure practical understanding of advanced maintenance technologies. This digital maintenance course combines theoretical concepts with hands-on application using industry-relevant tools.

Participants will engage in instructor-led sessions supported by video lectures, guided exercises, and real-world case studies. Practical work includes the use of AnyLogic and AnyLogistix software for simulation and predictive maintenance modeling.

The course also emphasizes Big Data analysis, IoT integration, and agent-based simulation techniques to replicate real industrial scenarios. Learners will work through structured exercises that demonstrate how predictive analytics and simulation tools improve maintenance scheduling accuracy. This approach ensures participants gain practical expertise in optimizing maintenance strategies using modern digital technologies.

Course Content

Day 1

Predictive Asset Maintenance

  • Reactive Maintenance
  • Maintenance Reliability
  • Contribution of Planning Coordination, and Scheduling
  • Symptoms of Ineffective Job Planning
  • Maintenance Deliverables
  • Exercise: Introduction to AnyLogic and AnyLogistix software
Day 2

Using Predictive Analytics in Maintenance Systems

  • Data management
  • Big Data Quality and sources
  • Dealing with large data sizes
  • IoT and adaptive maintenance: Integrated data collection
  • Uncertainty in implementation cost and Return on Investment
  • Exercise: Design the data collection and modeling and simulation tools
Day 3

Maintenance Planning Principles

  • Work order system
  • Maintenance requirement forecasting
  • Traditional forecasting methods
  • Downtime planning and mitigation
  • Costs of poor planning
  • Ripple and Bullwhip effects on production originating from poor maintenance plans
  • Exercise: Improving maintenance process with AnyLogic agent-based modeling
Day 4

Spare Parts Procurement and Inventory Planning

  • Procurement for maintenance
  • Spare parts inventory and availability
  • Development of Work Programs and the Maintenance Calendar
  • Sizing the Maintenance Staff
  • Exercise: Defining and optimizing supply chain process of spare parts in Any Logistic
Day 5

Proactive Maintenance Planning

  • Detailed Planning of Individual Jobs
  • Materials Support
  • Work Measurement
  • Analytical Estimating
  • Coordination with Operations
  • Exercise: Job Feedback, Close Out, Analysis, and Schedule Compliance using agent-based modeling

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
FREQUENTLY ASKED QUESTIONS

Learn more about this course

Yes. The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.

No. The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation

The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.

The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is suitable for professionals who want to expand their knowledge, strengthen their practical skills, and improve their effectiveness within their current or future roles. It is valuable for managers, team leaders, supervisors, specialists, consultants, and professionals seeking to stay current with industry developments and best practices. Whether your goal is career advancement, improved decision-making, or enhanced workplace performance, this course provides relevant knowledge and practical insights to support your professional ambitions.

If you would like additional information about the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course, our professional support team is available to assist with course enquiries, registration guidance, group bookings, and customised training requirements. We are committed to helping you identify the most suitable learning solution for your professional development goals.

 

Participants attending the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.

The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.

Yes. Participants who successfully complete the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.

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