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Implementing Predictive Maintenance Systems

Building maintenance work is either reactively or proactive addressed. Whilst Cyclical-Based systems may be held as proactive and preventive; maintenance cycles are determined at design stage and do not factor quality of construction and maintenance effort and building use. This could lead to over-maintenance due to premature replacement or to unexpected consequences when failure occurs before stipulated schedules.

In a Predictive Maintenance system, work is based on real time evidence of need as ascertained from inspections, and planned and prioritised accordingly. Some 30% cost savings have been achieved in moving from a Cyclical-based to a Condition-based system in engineering installations maintenance.

Predictive maintenance systems requires objective inspection data, the variability in defect prognosis arising from subjectivity of inspectors needs to be addressed as a pre-requisite to implementation. A new Dutch standard NEN 2767, believed to be a world-first in Building Condition Assessment, seeks to provide uniformity in condition assessment, through an inspection and reporting system based on defect classification and condition scores. The resultant data also serves as a means of communicating building technical condition between strategic, tactical and operational level decision makers.

Traditional maintenance systems are unable to meet the increasing challenges of budget cuts, defects in new and refurbished buildings and rising user demands. The course will provide knowledge and skills to implement a Predictive/Condition-Based Maintenance System and an underpinning objective condition assessment system modelled after NEN 2767, a Dutch standard believed to a world first to resolve the subjectivity problem in building inspections, to optimise maintenance cost expenditure and improve service delivery.

Maintenance Process, Systems & Planning

  • Maintenance Process & Outcomes
  • Maintenance Policy & Standards
  • Maintenance Management Structure
  • Traditional Maintenance Systems: Cyclical / Ad hoc
  • Tenability of Traditional Approach

 

Condition Assessments in Predictive Maintenance

  • Assessing & Measuring Building Condition
  • Subjectivity in Condition Assessments / Inspections
  • Addressing the Subjectivity Issue: NEN 2767
  • NEN 2767 Underpinned Predictive Maintenance Model

 

Conducting Condition Assessments / Inspections

  • Structural Appraisals / Inspections
  • Facade Inspections
  • Protocol for a Condition Assessment / Inspection
  • NEN 2767 Condition Assessment Practicum

 

NEN 2767 Maintenance Planning & Prioritisation

  • Condition Data Assimilation
  • Data Analysis & Interpretation
  • Developing a Maintenance Prioritisation

 

Condition Assessments in Asset Life Cycle Management

  • Asset Service Life Cycle Condition Assessments
  • Condition Data Collection, Data Digitisation & Storage
  • Data Analytics & Intelligent Predictive Maintenance

 

Dr. Quah Lee Kiang

Dr Quah is the Director of the Real Estate & Construction Centre and the Real Estate & ConstructionAcademyin Singapore. She has extensive regional and international experience in Project and Facilities Management & Maintenance research, advice and academia. Her professional affiliations include being past President of the Chartered Institute of Building Singapore Centre, Member of the Royal Institution of Chartered Surveyors (RICS) Asia Board, Singapore Board and Asia Pacific Sustainability Board. Dr Quah is currently Chairperson of the Sustainability Committee in the International Facility Management Association (IFMA) Singapore Chapter.

Option 1 (Face-to-Face)Venue: Unit #04-08, Devan Nair Institute for Employment & Employability
80 Jurong East St 21, Singapore 609607

Option 2 (Live Streaming via RECC Elearning Portal)Username and password will be assigned on receipt of registration and course fees

$615 nett per person. Course fees includes full colour course documentation and refreshments at tea breaks.

The course will benefit those who have a vested interest in buildings including:

  • Developers
  • Building Owners
  • Government Officials
  • Architects
  • Engineers
  • Project Managers
  • Quantity Surveyors
  • Contractors/Sub-Contractors/Suppliers
  • Property Managers
  • Facilities Managers
  • Maintenance Managers
  • Management Corporations
  • Town Councils
  • and Others

Cancellations made one week before the scheduled commencement date of the course will be subjected to an administrative fee of $100.00. The full fee of $615.00 will be payable thereafter for any cancellation; substitutions can be made at any time.

Mr Ken Chew
Tel: 6563 4166
Fax: 6563 4156 
E-mail:exectrg@recc.com.sg

It may be necessary for reasons beyond RECC’s control, to change the content and timing of the programme and the identity of the course leader/s.

1 Day Training Course

8th Run

Implementing Predictive Maintenance Systems

$615.00 / person

Course Date & Venue:

Thursday 8 Feb 2024

Course Objectives

Traditional maintenance systems are unable to meet the increasing challenges of budget cuts, defects in new and refurbished buildings and rising user demands. The course will provide knowledge and skills to implement a Predictive/Condition-Based Maintenance System and an underpinning objective condition assessment system modelled after NEN 2767, a Dutch standard believed to a world first to resolve the subjectivity problem in building inspections, to optimise maintenance cost expenditure and improve service delivery.

Important Note:

In addition, all Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website (www.skillsfuture.sg/credit) to choose from the courses available on the Training Exchange course directory. NTUC members may claim up to $250 under the Union Training Assistance Programme (UTAP).

Joining Participants: