Maintenance Scheduling Using Big Data IoT and Agent Based Simulation

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Maintenance Scheduling Using Big Data IoT and Agent Based Simulation Course
Introduction:
It is common knowledge that there are differences in the failure rates and maintenance schedules. As a result, we regularly have to send assets for emergency repairs or shorten the time between routine maintenance.Big Data and IoT have made it much easier to plan maintenance and predict failure rates. Businesses who take advantage of these ideas are able to improve their maintenance schedules, cut costs and downtime, and outperform their rivals.
Course Objectives:
By the end of this training course, the participants will be able to:
· 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 through proper use of asset inventories
Who Should Attend?
This training course is suitable for 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 Outlines:
- Big Data and IoT in maintenance management
- Import, analyze 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 Any Logic simulation software
- IoT and adaptive maintenance: Integrated data collection
- Maintenance requirement forecasting
- Ripple and Bullwhip effects on products 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