Reliability, Availability and Maintainability (RAM) for Plant Performance

LEVEL: ADVANCED                    HRDF: CLAIMABLE 

Six (6) CPD Hours approved by MBOT

TRAINERS: 

Associate Professor Dr Masdi Muhammad, ASSOCIATE PROFESSOR Dr Ainul Akmar Mokhtar & Dr Hilmi Hussin

 

22 - 24 NOVEMBER 2022

 

MS TEAMS

 

9.00AM - 5.00PM

 

RM 2,100 FOR PROFESSIONALS

10% Discount for Early Bird (until 22 October 2022) / Group / Students

CONTENT SUMMARY

INTRODUCTION

This 3-day training course covers the advanced level of reliability, maintainability and availability (RAM) analysis in relation to maintenance and operation performances. The course demonstrates the practical steps in using the failure data, downtime data and maintenance support data to estimate the overall availability of repairable systems through simulation method.  This course will also cover the introduction to the reliability and availability assessment for multi-state system. The course is taught in a language and style that practicing managers and engineers can understand and apply easily, utilizing real industrial case studies through hands on practices.

COURSE CONTENT

Leading across Cultures

  • System reliability Modeling (with Reliasoft BlockSim)
  • Definition of system
  • Reliability block diagram (RBD)
  • Standby Configuration
  • Load Sharing Configuration
  • Failure model
  • Maintenance model
  • System Availability (RAM Modeling)
  • Maintenance Support Analysis
  • RAM and Life Cycle Cost
  • Fault Tree Analysis (FTA) (with Reliasoft BlockSim)
    • Introduction to Fault Tree Analysis
    • Fault tree construction
    • Minimal cut sets
    • Quantitative analysis 
    • Integrating FTA into RBD
  • Multi-state System (with Reliasoft BlockSim)
    • Multi-State system and Markov Model
    • Discrete Time Markov 
    • Continuous Time Markov
    • Application of multistate system modeling (IPF)


OBJECTIVES

Upon completion of this course, participants will be able to:

  • Perform system reliability model and RAM analysis (including spare parts and maintenance support) using reliability block diagram (RBD) and Reliasoft BlockSim Software
  • Propose potential improvements based on RAM analysis
  • Integrating fault tree analysis into RAM model
  • Multistate system analysis using Markov and BlockSim


WHO SHOULD ATTEND?

  • Anyone interested in Reliability Engineering 
  • Asset Managers and Executives 
  • Engineers, Researchers & Consultants 





OUR TRAINERS

1. Associate Professor Dr. Masdi Muhammad  (UTP)

Associate Professor Dr Masdi Muhammad current position as Head, Reliability Engineering and Asset Management research group, UTP. Academic qualifications, Degree in Mechanical Engineering from Lehigh University, Pennsylvania, USA, Master of Science in Manufacturing System Engineering from Lehigh University, Pennsylvania, USA and PhD in Mechanical Engineering (Reliability Engineering) from Universiti Teknologi PETRONAS.

Area of expertise for AP Dr Masdi in, Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Life Cycle Cost Analysis and Predictive analytic modeling. AP Dr Masdi had professional certificate and award gains in Chartered Engineer (UK), HRDF Certified Trainer, Certified Reliability Engineer (CRE-8155) by American Society for Quality (ASQ), Certified Maintenance and Reliability Professional (CMRP- 156299) by Society for Maintenance and Reliability Professionals (SMRP).

2. Associate Professor Dr. Ainul Akmar Mokhtar  (UTP)

Dr Ainul Akmar Mokhtar current position as Associate Professor in Mechanical Engineering, Universiti Teknologi PETRONAS. She had industrial experience, 3 Years with SEAGATE Technology Sdn Bhd, and 19 Years with University Teknologi PETRONAS. AP Dr Ainul had academic qualifications, PhD in Mechanical Engineering (Reliability Engineering),Universiti Teknologi Petronas, Master Of Science In Manufacturing Systems, University Of Nottingham and Bachelor Of Science In Industrial Engineering, Purdue University. Area of expertise in Industrial Engineering, Mechanical Engineering, Operations Management and Operations Research. She had professional certifications and awards in API 580 Risk-Based Inspection and HRDF Certified Trainer.

3. Dr Hilmi Hussin (UTP)

Dr Hilmi Hussin current position as Programme Manager, MSc Asset Management and Maintenance, Universiti Teknologi PETRONAS. He had industrial experience 6 Years with Seagate Technology Sdn Bhd (Senior Quality Engineer), 4 Years with Applied Magnetics Sdn Bhd (Process Engineer) and 17 Years with Universiti Teknologi PETRONAS. Academic qualification for Dr Hilmi, PhD in Mechanical Engineering (Reliability Engineering) from Universiti Teknologi PETRONAS, Master of Science in Manufacturing System Engineering from Warwick University, UK and Bachelor of Science in Mechanical Engineering from State University of New York, Buffalo, NY, USA.

Dr Hilmi had area of expertise in Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Six Sigma and Lean Manufacturing. His professional certification and awards in Six Sigma Black Belt (Seagate Technology) and HRDF Certified Trainer.

COUNTDOWN

DaysHoursMinutesSeconds

REGISTRATION FEES

PROFESSIONALS

MYR2,100*

*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).

EARLY BIRD/ GROUP/ STUDENT

MYR1,890*

*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my