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Centre for Smart Modern Construction Workshop Series
1 6 t h N o v e m b e r 2 0 1 8c4SMC PPP-BIM Workshop
Workshop on the use of BIM in PPP Projects
20/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 1
Centre for Smart Modern Construction Workshop Series
1 6 t h N o v e m b e r 2 0 1 8c4SMC PPP-BIM Workshop
BIM enabled early-stage estimating for PPP PROFESSOR SRINATH PERERAD I R E C TO R , C E N T R E F O R S M A R T M O D E R N C O N S T R U C T I O N
D I R E C TO R , M A S T E R O F P R O J E C T M A N A G E M E N T
C H A I R O F B U I LT E N V I R O N M E N T & C O N S T R U C T I O N M A N A G E M E N T
20/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 2
Content of presentationWelcome
The Centre for Smart Modern Construction
The PPP-BIM Research Project
The PPP Concept
BIM
Research Findings
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WWW.WESTERNSYDNEY.EDU.AU/C4SMC 4
Welcome to Western Sydney
20/11/2018
Western Sydney University
Established in 1989 with a history since 1891
•1891 through the Hawkesbury Agricultural College
Transformation to a Research led Professional Learning Environment•44,000 students•3500 staff, 7 campuses•170,000 alumni•Signatory to the UN Sustainable Development Goals 2030
10 Schools
•School of Computing Engineering & Mathematics SCEM
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The c4SMC Aim
The Centre for Smart Modern Construction (c4SMC) is a university and industry collaboration investing in the future readiness of smart modern construction graduates and the enterprises in which they will work.
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c4SMC Priorities
1. A long term non-traditional industry funded collaboration targeting to raise +$4.0m every 3 –years directed towards:
2. High achiever Undergraduate Scholarships
3. SMC related Research Projects and Consultancies with 3 – 5 year impact priorities• PhD Scholarship scheme
4. Visiting Academics from WSU to SMC sites
5. Industry engagement events
6. A live ‘full-scale’ construction SmartBuild Lab at WSU demonstrating SMC to deliver applied abilities for students and industry
7. Other research-based activities
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c4SMC LaunchOfficial launcho Centre launched on 8th of August 2017o Formally approved as a centre by the university in
2017
Industry launch◦ 16 November 2017 - Breakfast event at the Boiler
House in Parramatta South campus - hosted 100 leaders
◦ 1 Nov 2017 – c4SMC team were at the 'Creating Australia's Best Airport City' conference, representing new c4SMC
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Western Sydney business leader David Borger launches the Centre for Smart Modern Construction (c4SMC)
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Building industry capacity through undergraduate scholarships
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Work with industry contributors • to fund undergraduate
scholarships • for high achieving students
studying Construction Management.
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Driving innovation in the building industry through collaboration with PhD researchers
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Collaborate with industry contributors on PhD research • to help face current challenges of
sustainability, digitalisation, industrialisation and globalisation
• with an impact focus of 3-5 years.
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SMC Site visits
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The academic teaching staff and centre PhD students• visiting sites• where smart modern construction is unfolding
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Industry Engagement activities
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Mark Farmer's presentation to over 200 Western Sydney constructors and academics
on 2nd March 2018 industry engagement event
A roundtable event held on 10 July 2018 at the university’s flagship Peter Shergold campus in
Parramatta with key industry participants and presentations by
Data 61’s Tom Durick and Lend Lease’s Daryl Patterson
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Smart
Fintechs using mobile devices,
Integrated building software packages
BIM (3D to nD), Virtual Reality &
Augmented Reality
Robots, Drones, IoT applications, 3D
printing
Digital signatures, digital records,
digital twins, digital Smart Contracts
Modern
Industrialization (prefab, panelised,
volumetric & hybrid construction)
Internationalisationof projects and Supply Chains
Design for Manufacture and Assembly (DfMA)
Innovative on-site construction
methods13
Smart Modern Construction (SMC) Integration
SMC is defined as construction that embraces smart and modern technologies
to develop innovative and performance enhancing components, products, systems
and processes.
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SMC Research Agenda for Industry 4.0
•Measurement of carbon, liveability, social,economic & environmental issues, managing waste
•Disaster resilience, economic resilience, capacity building, Health & Safety
• Supply chain performance and integration, economic viability, product assurance & compliance
• Performance, productivity, integration, process improvement
Digitalisation Globalisation
SustainabilityResilience
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SMC
Convergence of Technologies
Visualisation
• AR & VR• Photogrammetry• GIS
Social Computing
• Social Media• CRM
Data Analytics
• Big Data• Data visualisation
Cloud Computing
BIM
3D Printing
NetworkIoV
• Blockchain• FinTech/
Smart contracts
• 4D/5D/7D• Procurement
IoT
• Drones• Sensors• Building
Management
AI
• Robotics• Machine
Learning
• Cyber-physical interfacing• Real time connection of
components
• Convergence bringing in new possibilities
• Analytics that provide direction• Ability to manage procurement
• Project and supply chains
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Our Industry Collaborators
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Best practice benchmarks for BIM enabled early-stage estimating for PPPPrincipal Investigator◦ Professor Srinath Perera (Western Sydney
University)
Co-investigators◦ Dr Lei Zhou (Chair of Shanghai Dragonboat
Investment Management Co., Ltd, China)◦ Dr Nirodha Fernando (University of Salford,
UK)◦ Professor Yilin Yin (Tianjin University of
Technology, China)◦ Dr Solomon Babatunde (Obafemi Awolowo
University, Nigeria)
PPP -BIM
Australia
UK
China
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Aim & objectivesAim
The research aims to develop a best practice framework for BIM enabled early stage cost estimating for PPP funded construction projects.
Objectives
The proposed research would achieve the following:
Review methods of estimating practised in early stage estimating for PPP projects
Explore application of BIM to early stage estimating
Analyse best practice in estimating and use of BIM for estimating
Evaluation of drivers and barriers for BIM based early stage estimating in PPP projects
Develop best practice benchmarks
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Methodology
Literature Review
• Conceptual Model• Drivers & Barriers
Case Studies
• Development of the Model• Framework
Expert Forum • Final Framework
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The Concept of PPPThe concept of using private capital to provide public facilities has existed for centuries in countries such as UK, US, France, Spain among others◦ Dates back to 1800, railway construction in the UK
There are a number of alternative names for PPPs, this includes: Private Finance Initiative (PFI), a term originating in Britain Private Participation in Infrastructure (PPI), a term coined by the World Bank P3/3Ps/P3, terms used in North America Private-Sector Participation (PSP) Privately-Financed Projects (PFP)
Infrastructure development project◦ Social and Physical
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Public Private Partnership (PPP)
Contract between a public authority and a private company.
Private company provides a public service or project.
Private company assumes financial, technical and operational risk in the project, in return for payment spread over the lifetime of the project.
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Ownership and risk
22
Public body (e.g. central government or local authority) funds projects from public funds, or by borrowing.
Transfer of ownership of public property or service from the public sector to the private sector.
Private sector funds the project in return for payment.Ownership remains (or returns to) the public sector.
Risk borne bypublic sector
Risk shared bypublic and private sectors
Risk borne by private sector
Publicly funded projects
Public Private Partnership
Privatisation
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PPP service and payment
23
Public authority
Private company
Provides a service
Pays for the service(unitary charge)
OR
User Private company
Provides a service
Pays for the service(e.g. toll)
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Types of PPP
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PPP Models adopted in different countries in various sectors
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PPP Stakeholders: Role
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PPP Maturity
WWW.WESTERNSYDNEY.EDU.AU/C4SMC 27Source: Deloitte, 2007
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CLASSIFICATION OF PPP MARKETS
Source: KPMG, 201520/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 28
The PPP Process
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Model for using bimin ppp projects
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BARRIERS FOR BIM ESTIMATING IN AUSTRALIA
Barrier Mean
Score
Rank
Inadequate relevant knowledge and expertise 5.00 1
Cultural resistance for using new technologies like BIM 4.00 2
Incompatibility between BIM data and standard practices 4.00 2
Liability issues including professional licensing, design liability and
vulnerability to changes of BIM by unauthorized parties
3.50 3
Low quality of BIM data 3.00 4
Poor information sharing and collaboration issues 3.00 4
Lack of a check mechanism for designs 3.00 4
Technological issues 2.00 5
BIM data ownership issues including data security 2.00 5
Implementing BIM is expensive /Cost overrun with BIM 1 50 620/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 31
BARRIERS FOR BIM ESTIMATING IN U.K
Barrier Mean Score Rank
Technological issues 4.00 1
Inadequate relevant knowledge and expertise in using BIM 3.50 2
Poor information sharing and collaboration issues 3.50 2
Low quality of BIM data 3.00 3
Cultural resistance for using new technologies like BIM 2.50 4
BIM data ownership issues including data security 2.50 4
Implementing BIM is expensive /Cost overrun with BIM 2.50 4
Lack of a check mechanism for designs 2.00 5
Liability issues including professional licensing, design liability
and vulnerability to changes of BIM by unauthorized parties
2.00 5
Incompatibility between BIM data and standard practices 2.00 5
Culture of adoption 1.00 620/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 32
BARRIERS FOR BIM ESTIMATING IN CHINA
Barrier Mean Score Rank
Technological issues 4.17 1
Inadequate relevant knowledge and expertise in using BIM 3.83 2
Implementing BIM is expensive /Cost overrun with BIM 3.83 2
Low quality of BIM data 3.67 3
Lack of a check mechanism for designs 3.50 4
Liability issues including professional licensing, design liability
and vulnerability to changes of BIM by unauthorized parties
3.50 4
Incompatibility between BIM data and standard practices 3.50 4
BIM data ownership issues including data security 3.17 5
Cultural resistance for using new technologies like BIM 2.50 6
P i f i h i d ll b i i 2 17 720/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 33
BARRIERS FOR BIM ESTIMATING IN OVERALL RANKING
Barrier Australia UK China Overall
mean
Ranking
Inadequate relevant knowledge and expertise in using BIM 5.00 3.50 3.83 4.11 1
Technological issues 2.00 4.00 4.17 3.39 2
Low quality of BIM data 3.00 3.00 3.67 3.22 3
Incompatibility between BIM data and standard practices 4.00 2.00 3.50 3.17 4
Cultural resistance for using new technologies like BIM 4.00 2.50 2.50 3.00 5
Liability issues including professional licensing, design
liability and vulnerability to changes of BIM by
unauthorized parties
3.50 2.00 3.50 3.00 5
Poor information sharing and collaboration issues 3.00 3.50 2.17 2.89 6
Lack of a check mechanism for designs 3.00 2.00 3.50 2.83 7
Implementing BIM is expensive /Cost overrun with BIM 1.50 2.50 3.83 2.61 8
BIM d hi i i l di d i 2 00 2 50 3 17 2 56 920/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 34
DRIVERS FOR BIM ESTIMATING IN AUSTRALIA
Driver Mean score
Desire for innovation to remain competitive 4.00
Accurate construction sequencing and clash detection 3.50
Time savings in the preparation of cost estimates 3.00
Government pressure towards better practices 2.50
Client/competitive pressure 2.50
Facilitating increased pre-fabrication with information rich BIM 2.50
Greater access to information enabling earlier input into feasibility, planning, design, costs
and environmental assessment
2.50
Designing health and safety into the construction process 2.00
Cost savings and increased efficiency in monitoring with reduction of requests for
information
2.00
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DRIVERS FOR BIM ESTIMATING IN UK
Driver Mean
Score
Ranking
Government pressure towards better practices 4.25 1
Easier communication and collaboration between all stakeholders 4.25 1
Cost savings and increased efficiency in monitoring with reduction of
requests for information
3.75 2
Greater access to information enabling earlier input into feasibility,
planning, design, costs and environmental assessment
3.75 2
Client/competitive pressure 3.50 3
Improving the capacity to provide whole life value to client 3.50 3
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DRIVERS FOR BIM ESTIMATING IN CHINA
Driver Mean
score
Rank
Desire for innovation to remain competitive 4.75 1
Improving the capacity to provide whole life value to client 4.50 2
Facilitating increased pre-fabrication with information rich BIM 3.88 3
Client/competitive pressure 3.75 4
Accurate construction sequencing and clash detection 3.75 4
20/11/2018 WWW.WESTERNSYDNEY.EDU.AU/C4SMC 37
DRIVERS FOR BIM ESTIMATING IN OVERALL RANKING
Driver Australia
Avg.
UK
Avg.
China
Avg.
Overall
Avg.
Rank
Desire for innovation to remain competitive 4.00 3.00 4.75 3.92 1
Accurate construction sequencing and clash
detection
3.50 3.50 3.75 3.58 2
Government pressure towards better practices 2.50 4.25 3.25 3.33 3
Client/competitive pressure 2.50 3.50 3.75 3.25 4
Time savings in the preparation of cost estimates 3.00 3.50 3.25 3.25 4
Easier communication and collaboration between
all stakeholders
1.75 4.25 3.63 3.21 5
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BEST PRACTICES FOR BIM ESTIMATING
1 Prepare list of Bidding documents2 Check for contradicting /missing information3 Clarify contradictions and revise documents4 Develop schedule of functional areas based on industry standards and norms
5 Prepare preliminary cost plans based on similar cost information6 Appoint BIM manager to manage the BIM process7 Check for agreement on aligning model (BIM) objects with cost data formats8 Agree on aligning model (BIM) objects with cost data formats
9 Translate model (BIM) into a chosen 5D cost modelling software which facilitateestimate/cost model in the required format
10 Liaise with subcontractors to get direct cost information
11 Conduct cost checks and negotiations within PPP sponsor consortium for possible costreductions and update the Cost model and BIM model based on the outcome
12 Check for compliance with price guidelines / Quotas to be in line with project budget
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A C4SMC COLLABORATION
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