Asset Management and Maintenance Engineering

by SITLEARN Professional Development Claim Listing

This module covers asset management and maintenance engineering techniques through the use of sensors and IoT 4.0 technologies.

S$3573.78

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img Duration

3+ Months

Course Details

Through this module, participants will be able to gain knowledge and develop skills in the following areas:

  • Draw up risk and reliability-based asset management strategies

  • Formulate and implement aligned maintenance policies and maintenance plans

  • To conduct asset performance assessment and improvement for realising optimised asset values over the asset life cycle

 

The module also looks specifically at maintenance engineering in the use of sensors and IoT 4.0 technologies to aid in:

  • Risk mitigation and predictive maintenance

  • Planning and management of maintenance functions

  • Spares provisioning and inventory control

  • LEAN work floor processes, asset life cycle project management

  • Risk and safety assessment methodologies for safe operation of the assets

 

This module is 1 of the 4 core modules under the Postgraduate Certificate in Urban Railway Technology.

 

Who Should Attend

  • Engineering professionals who have recently embarked on or are planning to start a career in the public transport industry, with specialisations in urban railway systems and technology

  • Participants who wish to obtain the Postgraduate Certificate in Urban Railway Technology

 

What You Will Learn

  • Apply established asset management and maintenance engineering techniques and tools to assess the impact of technical and financial management on asset availability

  • Implement new technologies to devise cost-effective maintenance planning and processes

  • Critically assess and recommend risk and reliability-based maintenance framework to achieve optimised asset life cycle management outcomes.

 

 

Certificate and Assessment

A Certificate of Participation will be issued to participants who:

  • Attend at least 75% of the module; and

  • Undertake non-credit bearing assessment during the course

 

A Certificate of Attainment for each module will be issued to participants who:

  • Attend at least 75% of the module; and

  • Undertake and pass credit bearing assessment during the course

  • Central Branch

    10 Dover Drive, Central
  • Teacher's Name
  • Ng Bor Kiat, Hoh Hsin Jen, Sim Cheng Hwee
  • Teacher's Experience
  • Ng Bor Kiat - Associate Professor, Engineering, Singapore Institute of Technology Hoh Hsin Jen - Assistant Professor, Engineering, Singapore Institute of Technology Sim Cheng Hwee - Managing Director, Integrated Decision Systems Consultancy Pte. Ltd.
  • Gender
  • N/A
  • Teacher's Nationality
  • N/A

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