0
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.
1. Maintenance Process, Systems & Planning
- Maintenance Process & Outcomes
- Maintenance Policy & Standards
- Maintenance Management Structure
- Traditional Maintenance Systems: Cyclical / Ad hoc
- Tenability of Traditional Approach
2. 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
3. Conducting Condition Assessments / Inspections
- Structural Appraisals / Inspections
- Facade Inspections
- Protocol for a Condition Assessment / Inspection
- NEN 2767 Condition Assessment Practicum
4. NEN 2767 Maintenance Planning & Prioritisation
- Condition Data Assimilation
- Data Analysis & Interpretation
- Developing a Maintenance Prioritisation
5. 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 PhD, MSc (Maintenance Management), BSc Building, FRICS
Dr Quah is the Director of the Real Estate & Construction Centre and the Real Estate & Construction Academy in Singapore. She has extensive regional and international experience in Project and Facilities Management & Maintenance research, advice and academia. Dr Quah led the EU funded project BE4213 Condition Assessment and Maintenance Strategies for Buildings and Building Components, which among other things, sought to develop an objective building condition assessment system. This project formed part of ongoing research over the last 20 years which culminated in Dutch Standard NEN 2767 on Condition Assessment of Buildings, believed to be a ‘world first’. Dr Quah’s professional and research affiliations include being Coordinator of the International Council for Research and Innovation in Building and Construction (CIB) Working Commission 70 on Facilities Management and Maintenance for a decade and past President of the Chartered Institute of Building Singapore Centre. She was also a member of the Royal Institution of Chartered Surveyors (RICS) Asia Board, Singapore Board and Asia Pacific Sustainability Board. Dr Quah was conferred an Honorary Fellow by Oxford Brookes University for her work in real estate and construction education and the unusual impact her career has had on this particular academic field in Asia.
Option 1 (Face-to-Face)Venue: Unit #04-08, Devan Nair Institute for Employment & Employability
80 Jurong East St 21, Singapore 609607
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 & Timing:
13 February 2025, 9:00am to 6:00pm
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.
Course Fees:
$615 nett per person.