Predictive & Preventive Maintenance (PAP)

Predictive & Preventive Maintenance (PAP) Training Predictive & Preventive Maintenance (PAP)
By Corporate Intelligence Advisors
Service & Maintenance:

Predictive Maintenance Analytics: For Zero Breakdown Machines & Production Systems

“Transform your operational strategies from today’s Fail-to-Fix/Fly-to-Fix (FAF) to Predict-and-Prevent (PAP) performance levels.”

By Corporate Intelligence Advisors


PSMB Certified Training Provider • Registered with Ministry of Finance (ePerolehan)
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Email Customer Service kevin@cia-global.com Contact Customer Service +6 (082) 363686
Course Title:
Predictive Maintenance Analytics: For Zero Breakdown Machines & Production Systems
Training Category:
Manufacturing Operations
Target Audience:
This program is designed for business executives, directors, managers as well as product designers and R&D engineers who currently have or will have, responsibility for any aspect of planning, designing and implementing of new product design, manufacturing and service business. They are from:
  • Manufacturing/ Factory
  • Production / Production Planning
  • Product Development
  • Innovation
  • Maintenance
  • R & D
  • Engineering
  • Technical
  • Customer Application
Duration:
2 Days
Public Training Events
Oct 2015 ›
Venue:
Hartsford Conference Centre, Jalan P. Ramlee, Kuala Lumpur, Malaysia
Schedule:
Mon 05 Oct 2015 - Tue 06 Oct 2015
8:30AM - 5:30PM

Fee Per Person:
RM4,888.00
Promotions:
  • 10% discount for group registration of 3 paxs or more from the same organization.
Register Now!

* Other terms & conditions apply.
For In-house Training
Request for Quotation Request for Quotation
For Other Inquiries
Contact Corporate Intelligence Advisors
Contact customer service +6 (082) 363686
Email customer service kevin@cia-global.com
Delivery Methods
  • Language: English, Bahasa Malaysia
  • PowerPoint Presentation
  • Workshop
  • Group Discussion
  • Presentation Handouts
  • Reading Materials
  • Simulation
  • Participant Presentation
  • Video Presentation
  • Role Play
  • Lecture
  • Case Studies
  • Demonstrations
  • Certificate of Participation
*Terms & Conditions

Course Introduction ›

This is a 2-Day Predictive Maintenance training program that helps manufacturing companies to achieve Predict-and-Prevent (PAP) performance levels. To request for in-house training, click on the Request for In-house Training link as displayed above for quotation. For more information about this course, feel free to contact the training provider as shown above. If the public program is available, you can register online by clicking on the Register for Public Training link. If the link is disabled, it simply means it has yet to be available for public. You can contact the training provider for further inquiry.

Course Objectives ›

By attending this training, you will:

  • Find out various ways how Predictive Maintenance Analytics helps to increase revenue, reduce maintenance costs, and improve safety through reduction of equipment failure.
  • Learn and gain insight into the strategies for transforming productivity from product-based manufacturing to customer-centric business innovation.
  • Discover how to formulate "gaps" between and customer needs using innovative state-of-the-art technologies and systematic tools.
  • Find out, through interactive and in-depth case studies, how today's corporate giants (including Apple, GE, and others) are leading the market as pioneers in dominant business design.

Course Outline ›

DAY 1

Course Commencement

  • Introductions
  • Review of Agenda and participants' expectations and key questions

Changing Needs In Smart Maintenance And Smart Service Business Model

  • Unmet needs and changing business models
  • Issues on data, information, knowledge management and decision data √®Information conversion (Data Harvesting vs Data Mining)

Design For Zero Breakdown (DF0B) Concept

  • 5-Level productivity models and productivity transformation
    • Level 1: 5S and Kaizen Model (Hands-on Level)
    • Level 2: Lean Manufacturing Systems and Six Sigma (Data Level)
    • Level 3: E-enabled Predictive Tools (Information Level)
    • Level 4: Decision Making and Optimization Tools (Knowledge Level)
    • Level 5: Autonomous Synchronization Tools (Automation Level)
  • Practices from Fail-and-Fix (FAF)√®Predict-and-Prevent (PAP)
  • Degradation Monitoring VS. Fault Detection
  • Mean-Time-Between-Failure (MTBF) vs. Mean-Time-Between-Degradation (MTBD)

Infotronics Technologies and Intelligent Maintenance Systems

  • Introduction of Infotronics Technologies vs Mechatronics Technologies
  • Selection and definition of features for machine health condition
  • 5S methodology for Intelligent Maintenance Systems Design (Data Streamlining, Smart Processing, Synchronization, Standardization & Sustainability)
  • Closed-loop product life cycle design
  • Case Studies: Real application of Information Technologies in today's industries

Special Tools for Predictive Maintenance Systems

E-Maintenance And Predictive Maintenance Methodology And Techniques

  • Evolution of maintenance paradigms
  • Principles and methodologies for intelligent maintenance
  • Introduction of Watchdog Agent toolbox
  • Watchdog Agent tool selection and algorithm comparison

Advances in Sensing And Monitoring

  • Recent advances of smart sensing in machine health monitoring and predictive maintenance systems
  • Wireless-based machine monitoring systems
  • Selection of smart sensors for e-maintenance systems

Hardware Platform And Data Acquisition Systems

  • Sensor selection in difference application/ conditions
  • PC/PC-104 based hardware, data acquisition with UNO-2160
  • National instruments hardware
  • Platform comparison and selection
  • Mixture hardware/ software solution

Open Forum and Discussion on Day 1 topics

  • Open forum and review of participants' expectations and key questions
DAY 2

Advanced

  • Introduction of prognostics vs. diagnostics
  • Prognostic Tools selection
  • Systematic approach on prognostics design and implementation Design
  • Design of embedded prognostics systems

Future Direction and Issues In Predictive Maintenance of Complex Systems

  • Introduction of engineering immune systems for Zero-breakdown systems
  • Issues on Data Integrity Life Cycle Systems (reusability, scalability, sustainability)
  • Design of self-maintenance design of resilient systems
  • Design of smart service systems

Open Forum and Discussion on Day 2 topics

  • Open forum and review of participants' expectations and key questions

Presentation of Certificates and Course closing comments

Contact us now ›

  • Course content customization
  • In-house training request
  • Available public program
  • Consultation services
  • Other inquiries
Contact Customer ServiceCall : +6 (082) 363686
Email Customer Service E-mail : kevin@cia-global.com

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