Maintenance Scheduling using  Big Data IoT and Agent Based Simulation

An Intensive 5-day Training Course

Maintenance Scheduling using
Big Data IoT and Agent Based Simulation

Accurately Predict and Perform Maintenance When & Where Needed

Maintenance Scheduling using Big Data IoT and Agent Based Simulation

Scheduled Dates

Classroom

12 - 16 Aug 2024 Dubai - UAE $5,950 RESERVE A SEAT
25 - 29 Nov 2024 Dubai - UAE $5,950 RESERVE A SEAT
24 - 28 Feb 2025 Dubai - UAE $5,950 RESERVE A SEAT

Are the scheduled dates matching with your needs?

We provide a wider range of training options. Tailored and customized, we can deliver your organization’s training needs anytime, anywhere.

In-House Solutions ›

Why Choose this Training Course?

We all know that the maintenance schedules and failure rates often differ and quite frequently we either need to reduce the interval between regular maintenance or even send assets for emergency repairs.  With Big Data and IoT maintenance planning and failure rate prediction is now much easier and the companies who use the benefits of these concepts are improving their maintenance schedules, reducing the costs and downtimes therefore winning over their competition.

With the addition of agent-based simulation, the machine learning and deep learning algorithms could be expedited, and the maintenance predictions made as lose to the real life as possible, as we can simulate the behavior of aging assets and new workforce behavior, or the introduction of cutting edge technology to aging workforce, something which is not in the user manuals, but it is omnipresent in today’s industry.

What are the Goals?

By attending this PetroKnowledge training course delegates will be able to make a substantial, positive impact on the Maintenance Scheduling Planning and Optimization best practices within their organization, more specifically:

  • 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 is this Training Course for?

This PetroKnowledge training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling, process improvement, asset management and maintenance management.

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

Daily Agenda

Topics to be covered:
Amongst a wide range of valuable topics, the following will be prioritised:
  • 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

Certificate

  • On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.

In Association With

AZTech Training & Consultancy

Our collaboration with AZTech Training & Consultancy  aims to provide the best training services and benefits for our valued clients.

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Frequently Asked Questions

  • To register online through our website, please click “Enroll Now” on the course page, complete and submit the form. A confirmation e-mail and instructions will be sent to the participant’s e-mail.
  • You may also get in touch with our Registration Team on
    +971 50 981 7386 | +971 2 557 7389 or send an email to reg@petroknowledge.com

  • Payments can be made in USD or UAE local currency AED (Arab Emirates Dirhams) either by Bank Transfer or by Credit Card. Our Bank Account details will be provided on the invoice.
  • Course fees are payable upon booking unless a valid, authorized Purchase Order is provided and accepted.
  • Invoices will be sent via email/courier to the ID/name and address provided.
  • The course fee shall be settled prior to course start date. Corporate payments with existing payment policy shall be relayed to us in advance.

Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.

For corporate fees and group registration, please send your query to info@petroknowledge.com.

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