Course not currently available

Reliability Engineering and Asset Risk Management

Short course

In Bedfordshire ()

Price on request

Description

  • Type

    Short course

Course structure This course is delivered through a balanced combination of lectures and practical sessions. All delegates will receive a Certificate of Attendance upon completion of this course.

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Risk
  • Risk Management
  • Engineering
  • IT risk

Course programme

What you will learn

On successful completion of this study the student will:

  1. Have a good knowledge of the asset risk management techniques and maintenance strategies used in different industries
  2. Be familiar with various proactive maintenance policies (age and block maintenance, RCM, RBM, CBM, PdM, TPM)
  3. Understand the concept and applications of Monte-Carlo simulation in system reliability and availability modelling
  4. Have a basic understanding of system’s life-cycle and understand the financial implications involved with assessing the maintenance and risk factors of offshore projects.

Core content
  • Introduction: Asset management, overall equipment effectiveness (OEE), asset productivity
  • Asset integrity: Asset integrity management, Risk-based integrity, Through-life engineering
  • Maintenance engineering: Maintenance regimes, reactive vs. proactive maintenance; Age and block maintenance, Reliability-centred maintenance (RCM), Risk-based maintenance (RBM)
  • Fault prognosis and diagnosis: Fault detection and failure location; Root-cause analysis (RCA), Common-cause analysis (CCA), Condition-based maintenance (CBM), Predictive maintenance (PdM)
  • Introduction to Total Productive Maintenance (TPM), World-class maintenance (WCMain)
  • Maintenance modelling, planning, scheduling, and optimisation
  • Reliability data analysis: types and sources of reliability data, data collection, data cleansing, data accuracy and precision, model fitting, big-data, incomplete data, redundant data, not-detailed data
  • Applications of Monte-Carlo simulation in system reliability and availability modelling
  • Probability of failure, Cost of failure, and risk of failure in offshore energy systems
  • System’s life-cycle: Life-cycle cost (LCC) analysis, whole-life costing, how to identify key cost drivers
  • Warranty and service contracts analysis: guarantees, warranties, extended warranties, service contracts, and maintenance outsourcing with several examples from the oil and gas, marine renewable's, railway and manufacturing industries
  • Workshops and case studies: Work in groups to analyse the reliability, availability and maintainability of various offshore systems and components.

Reliability Engineering and Asset Risk Management

Price on request