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- About Us
A highly interactive training course on
Maintenance Scheduling using Big Data, IoT and Agent Based Simulation
Training course overview
Proper maintenance management is crucial for the longevity and efficiency of systems and machinery in any organization. This Coventry Academy training course emphasizes the importance of effective maintenance practices in minimizing downtime and reducing operational costs. It highlights that relying solely on manufacturers' manuals for maintenance planning is insufficient due to the differences between laboratory and real-world environments. Instead, leveraging Big Data and IoT technologies allows for more accurate predictions and optimized maintenance schedules, leading to enhanced competitiveness.
Participants will explore:
- Maintenance principles, downtime reduction strategies, and the application of preventive maintenance.
- Utilization of Predictive Analytics to optimize asset maintenance, enhancing reliability and efficiency.
- Methods to reduce, minimize, and optimize asset lifecycle costs through advanced maintenance strategies.
- The pivotal roles of Big Data and IoT in refining maintenance planning and scheduling processes.
- Application of AnyLogic software for process design and predictive maintenance optimization.
- Advanced concepts such as aligning industry needs with workforce availability, utilizing agent-based simulation, machine learning, and deep learning algorithms for precise maintenance predictions.
What are the goals?
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
Who is this training course for?
This training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling.
This Coventry Academy 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
How will this training course be presented?
This Coventry Academy training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes presentation of theoretical concepts, video lectures and many exercises that will be done through the guided work of the delegates themselves. Delegates will be guided through the real-life examples and will be provided with Personal Learning Edition of AnyLogic software, as well as introduced to Personal Learning Edition of AnyLogistix software and their capabilities.
Course Outline
Day One: 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 Two: 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 Three: 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 Four: 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 Five: 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
- Coventry Academy Certificate of Completion for delegates who attend and complete the training course
Related Courses
Knowledge Management for the Oil, Gas, Petrochemical & Energy Industries
03-07 Feb 2025
London ($5,950)