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Maintenance Scheduling using Big Data, IoT and Agent Based Simulation

Dates Venues Register
25/10/2026 - 29/10/2026 DUBAI

Introduction

Maintenance Scheduling using Big Data, IoT and Agent Based Simulation

 

 

Course Objectives:

  • How to determine the actual maintenance schedules and downtime rates
  • What influences the downtimes and breakdowns
  • Maintenance principles, downtimes and preventive maintenance applications
  • Using Predictive Analytics to Optimize Asset Maintenance
  • Means and methods how to reduce/minimize/optimize asset life cycle costs
  • Harness the Big Data and IoT benefits in maintenance planning and scheduling
  • Simulate the influence of changing maintenance schedules on downtimes
  • Learn how to avoid downtimes trough proper use of asset inventories

Who Should Attend?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Procurement Planners, Maintenance Planners, Asset Managers, Maintenance Managers
  • Data Scientists and Data Analysts
  • Logistics and Supply Chain Planers
  • Other professionals involved in procurement, maintenance and operations of assets

 

Course Outline:

Day 1 to Day 5

Topics to be covered:

  • Big Data and IoT in maintenance management
  • Import, analyse and interpret Big Data Through Predictive Analytics for Maintenance Optimization
  • Understand the benefits of IoT for automation of maintenance scheduling and downtime reduction
  • Perform the optimization of maintenance scheduling using AnyLogic simulation software
  • IoT and adaptive maintenance: Integrated data collection
  • Maintenance requirement forecasting
  • Ripple and Bullwhip effects on production originating from poor maintenance plans
  • Development of Work Programs and the Maintenance Calendar
  • Sizing the Maintenance Staff
  • Defining and optimizing supply chain process of spare parts in Any Logistic

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