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Maintenance Scheduling using Big Data, IoT and Agent Based Simulation

Accurately Predict and Perform Maintenance When and Where Needed

Maintenance Scheduling using Big Data, IoT and Agent Based Simulation

Course Schedule

Classroom

Online

No online dates are currently available.

Training Introduction

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.

The 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

Providers and Associations

Anderson

Anderson

Aztech Training

Aztech Training

Frequently Asked Questions

Quick answers to common questions about this training course.

Absolutely. Coventry Academy provides customised in-house training solutions for organisations seeking a tailored learning experience. The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course can be adapted to reflect your organisation's objectives, industry requirements, operational challenges, and strategic priorities. Delivered exclusively for your team, customised training enables organisations to maximise relevance, encourage collaboration, and achieve targeted development outcomes. Our team will be pleased to discuss your requirements and develop a solution that aligns with your goals.

Absolutely! If you’re attending one of our courses at an international venue, we can help
with hotel reservations and entry visas. Just reach out to our Customer Service team:

  • Phone: +971 4 420 8304
  • Fax: +971 4 420 8304
  • Email: info@coventryacademy.com

No prior experience is required to attend the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course. The course is designed to accommodate participants from diverse professional backgrounds and varying levels of experience. While some familiarity with the subject matter may help participants gain additional value from certain discussions and activities, the course content is structured to ensure that both newcomers and experienced professionals can fully engage with the learning experience and benefit from the training.

Our dedicated support team is available to assist you with any questions regarding the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course, including course content, scheduling, registration, corporate bookings, and customised training solutions. We are committed to providing prompt and professional assistance throughout your learning journey.

📞 Phone: +971 58 840 7925

📧 Email: info@coventryacademy.com

🌐 Website: coventryacademy.com

Registering for a course is super easy! Here’s how you can do it:

  • Online: Pick your course, hit the "REGISTER" button, fill out the form, and
    submit it.
  • Email: Drop us a line with your details at info@coventryacademy.com.
  • Phone: Give us a call at +971 4 420 8304 to book your spot.
  • Fax: Fill in the booking form (you’ll find it in our brochures, flyers, or catalogue)
    and fax it to [+971 4 420 8304](tel:+97144208304).

The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is designed to be practical, engaging, and highly interactive. Participants benefit from a dynamic learning environment that combines expert-led presentations, facilitated discussions, case studies, practical exercises, and collaborative learning activities. The focus is on developing knowledge that can be applied immediately within the workplace, ensuring participants gain both valuable insights and practical skills that support improved professional performance.

Your course fees cover:

  • For classroom courses: printed materials, lunch, and refreshments.
  • For online courses: all materials sent to you by email.
  • A certificate of completion or attendance.

You’ll need to make payment before the course starts. Here are your options:

  • Bank draft
  • Cash
  • Credit card
  • Wire transfer

Heads up: If we don’t receive payment before the course begins, we may have to deny
admission.

We delivers training courses in carefully selected professional venues that provide a comfortable and productive learning environment. Classroom-based courses are typically hosted in premium international venues with modern facilities and dedicated training spaces designed to support effective learning. Participants also benefit from a professional setting that encourages networking, collaboration, and knowledge sharing with peers from diverse industries and backgrounds.

The Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course is designed for professionals seeking to strengthen their knowledge, enhance their capabilities, and achieve greater impact within their organisations. It is suitable for managers, supervisors, team leaders, technical specialists, consultants, and professionals at all career stages who wish to expand their expertise and stay current with industry developments. Whether you are looking to advance your career, improve workplace performance, or prepare for new responsibilities, this course provides valuable knowledge and practical insights to support your professional growth.

Our courses are led by top-notch international instructors. They’re not just academically qualified—they’ve also got years of real-world experience. They bring practical insights and deep knowledge to every session, making your learning experience truly valuable!

Yes. Participants who successfully complete the Maintenance Scheduling using Big Data, IoT and Agent Based Simulation training course will receive a Coventry Academy Certificate of Completion, recognising their commitment to professional development and continuous learning. This certificate serves as formal evidence of participation and achievement and can support career progression, professional credibility, and ongoing development objectives. Where applicable, details regarding professional development credits or accreditation will be provided within the course information.

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