Maintenance Scheduling using Big Data,
IoT and Agent Based Simulation

No matter how durable or expensive a system or machine is, it can only function effectively for a limited time without proper maintenance. As you acquire more systems, machines, and processes, maintenance costs can escalate rapidly, and deadlines may hit your company before you're prepared. Ensuring your systems and machines are well-maintained reduces failure rates and minimizes production downtime, keeping it less frequent and costly. However, maintenance activities are expensive, and they must be planned using accurate predictions. Relying solely on manufacturer manuals for maintenance isn't sufficient, as manufacturers test products in controlled lab environments, which are often far from the conditions in which systems are used. Thanks to Big Data and IoT, maintenance planning and failure rate forecasting have become much more manageable. Companies that leverage these technologies can optimize their maintenance schedules, reduce costs, and minimize downtime, gaining a competitive edge. With the integration of agent-based simulation, machine learning, and deep learning algorithms, maintenance predictions can be refined to mirror real-life scenarios. These tools can simulate the behavior of aging assets, evolving workforce dynamics, and the introduction of advanced technology to an experienced workforce—factors not found in user manuals, but highly relevant in today’s industry.

This training course will feature:

• 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
• Big Data and IoT roles in maintenance planning and scheduling
• Using Any Logic software for process design and predictive maintenance optimization
• Advanced concepts: Aligning the industry needs with the workforce availability

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

• Understand the importance of maintenance planning and scheduling
• Understand the capabilities of Agent Based simulation
• Acquire the knowledge of using AnyLogic software for maintenance planning and simulation
• 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 AnyLogic simulation software

This Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling.

This Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is suitable to a wide range of professionals but will greatly benefit:

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