Prescriptive Maintenance class

Available in your facility or online, to on your schedule, to your people, customized with the topics you need

Who :

This program is for all types of maintenance environments. Attendees should include Directors responsible for Maintenance and Asset Management, executives responsible for big data/analytics corporate-wide, plant managers, maintenance managers, CMMS managers, engineers, include IT professionals responsible for IIoT and Analytics for Maintenance and people who are in training for these positions. There is also an advantage to having representatives from operations, production control, and stockroom for their perspective and input.

Learning Objectives

Why attend:

There is a sea change in the way people need to think about maintenance. The Industrial Internet of Things drives this change. With the newly minted horsepower and capacity, we can finally handle big data and yet apply machine learning and artificial intelligence to maintenance and repair. 

Each of these technologies would, by itself, transform maintenance. There are now unheard-of opportunities. There are hucksters peddling buggy software and hardware not up to your needs in times of significant change. Millions will be wasted through a fundamental lack of understanding of the state of the business.

It is no longer adequate to be good at maintenance since the whole enterprise’s fate rests on smooth, downtime free capacity. There are hundreds of new techniques, gadgets, software, and models to approach low cost, reliable capacity.

Some of the things you will learn are (partial list):

Exercises and Case Studies:

Different people are different types of learners. This seminar features many other training modalities. This course has several kinds of exercises, discussions, activities, and case studies to enhance the training experience and teach specific knowledge of prescriptive maintenance.

Your staff logs in, and Joel will be there, teaching his world-class maintenance and reliability training and providing time for specific questions at the end of each module. No need to fly people offsite for training. No need to lose staff for full days away from the job.

What this is not

This class is not a class in implementing artificial intelligence or the advantages and disadvantages of various algorithms or analytic approaches. In short, this is a course for maintenance-oriented professionals looking for knowledge and insight into this new field.  It will also show IT professionals the maintenance application’s shape and topology with some of the necessary interfaces.

Prescriptive Maintenance Course Agenda

  • Introductions

Goal: Best business decision possible for the whole company.

    • Easier for computers than for humans
    • Why do this (it goes beyond just improving maintenance)
  • Defined: What is Prescriptive Maintenance?
    • What does prescriptive maintenance mean
    • One of the first examples of prescriptive maintenance (human-driven)
    • Hierarchy
    • Basic block diagram
  • This is a bigger conversation than just IIoT or big data
    • Goal of Maintenance
    • The purpose of maintenance is enhancing your reliability maturity
    • Maturity: Reactive, Preventive, Predictive
    • Now we’ve added the Precision domain
    • We’ve added Prescriptive Predictive
    • Aspirational domain -World Class
    • Exercise- where are you?
  • CMMS
    • Work orders
    • How to improve the quality of your work orders (Exercise)
    • How to audit work orders
    • Importance of configuration and hierarchy
    • Using work order data for RCA (human analytics) exercise
  • Where does Prescriptive Maintenance fit into a traditional maintenance model
    • Uptime Elements model
    • Where does maintenance work come from
    • Workflow
    • Backlog
    • IIoT sensors monitored by computers case study
    • Source and timing of work is pivotal
  • Guess what; you still need PM!
    • Problems with PM
    • Gain productivity with Short repairs
    • Fundamentals- TLC
    • How to measure existing efforts
  • PM and PdM defined for this class
    • Tricks of the trade
    • Iatrogenic failure
    • Types of task lists
    • Where do the task lists come from, frequency?
    • High tech Inspection
      • Chemical analysis
      • Vibration analysis
      • Infrared
      • Ultrasound
      • Visual
  • History- Where did it come from? The AI movement
    • AI
    • Machine learning
  • Economic justification. What are the costs? Where is the Return on Investment?
    • Sins of the past
    • Breakdown costs exercise
    • A short course in economic modeling (Exercise)
    • How much will IIOT, prescriptive maintenance cost?
    • Listen to your management to sell them
  • How widespread is the adoption of the elements of Prescriptive Maintenance?
  • Antecedents: What must be in place to take advantage of the present systems?
  • Big data
    • There is a certain amount of fluff you must breakthrough
    • Breakdown of sources of data with detailed example
    • PM inspection
    • Predictive Maintenance
    • Asset halo
    • Digital twin
  • Analytics
    • Descriptive
    • Diagnostic
    • Predictive
    • Prescriptive
    • Examples of analytics
    • Exercises in analytics
  • Prescriptive maintenance is algorithm based
    • Quick Class in algorithms
    • Algorithm for HVAC exercise
    • Algorithm rules for oil change exercise
  • Pitfalls and shortcomings of Prescriptive Maintenance
  • Create a roadmap to Prescriptive Maintenance