Training On Maintenance Scheduling Using Big Data, Iot And Agent Based Simulation

  • Overview

INTRODUCTION

No matter how expensive and durable the system or equipment is, it will only function for a certain amount of time if it isn't properly maintained. As you add more systems, processes, and machines, your maintenance costs will soar, and deadlines will sneak up on your business before you know it. When systems and machines are properly maintained, failure rates are reduced, production downtimes are rare, and costs are reduced. However, because maintenance activities are expensive, they must be planned based on accurate predictions, as following the instructions in the manufacturer's manual alone is frequently insufficient because the environments in which the systems are used are very different from the laboratory environments, where the manufacturer has tested the systems.

With Big Data and IoT, maintenance planning and failure rate prediction have become more simpler, and the businesses that take advantage of these ideas are optimizing their maintenance schedules, cutting costs and downtimes, and outperforming their rivals. With the inclusion of agent-based simulation, machine learning and deep learning algorithms could be accelerated, and maintenance predictions could be made as close to actual maintenance as possible. This is because we could simulate the behavior of aging assets and new workforce behavior, or the introduction of cutting-edge technology to an aging workforce—something that is not covered in user manuals but is commonplace in today's industry.

COURSE OBJECTIVES

By the end of the course, participants should be able to:

  • Gain knowledge of using AnyLogic software for maintenance planning and simulation;
  • Recognize the value of maintenance planning and scheduling;
  • Recognize the capabilities of Agent Based Simulation;
  • Import, Analyze, and Interpret Big Data Through Predictive Analytics for Maintenance Optimization.
  • Perform the optimization of maintenance scheduling using AnyLogic simulation software
  • Recognize the advantages of IoT for automation of maintenance scheduling and downtime reduction

DURATION

5 Days

WHO SHOULD ATTEND

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

This 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

COURSE CONTENT

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

GENERAL NOTES

  • Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
  • The participants receive training manuals and supplementary reading materials.
  • Participants who complete this course successfully will receive a certificate.
  • We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
  • The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
  • The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
  • Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org

Course Schedule:
Dates Duration Fees Location Action