A digital built environment –Why, How and What?

Paul Surin

Global Lead BIM and

Digital Built

Environment

Chair of Digitalization

Task Group CPE

CEN TC 442 WG4 and

WG7

Vision

‘We want to take the

lead in the digital

transformation of built

environment, and to

continue to create

value for our

customers and our

company’

Vision

The Why? Changing global

construction industry

4

Digitalization of construction – why is it important?

Source: *UN. **Innovate UK

Globally urban population growthset to increase by over

2.5 billion urban population 2015-2050*

… every single day between now and 2050 …

That’s equivalent to 1900+ apartment buildings…

… plus schools, hospitals and infrastructure, just to house the difference!!

… each housing 100 people …

Carbon emissions from buildings are on average 3.8 times higher than they were designed to achieve**

We need a step-change in productivity in design, procurement & delivery

We need to build better performing buildings, with less

resource, and quicker!

5

High awareness of the urgency of digitalization globally where the construction industry is among the least digitalized industry sectors

Reengineering technology trend is a global phenomenon

Relevance

Significant High Medium LowNone

Timeliness

Now 1 year1–2 years

2–5 years5+ years

Readiness

Significant High Medium Low None

N. Europe C. Europe Israel Asia

S.America S.Europe S.Africa Middle East Australasia

Source: (left) McKinsey Global Institute analysis; (right) Deloitte analysis - Deloitte Insights (Survey of Deloitte leaders across 10 regions)

o North America the only market which is ready and have understood the high importance of the digital transition

o Most regions are starting to realize the relevance and timeliness of the digital transition but lacks readiness to manage the impact of the “Data wave” which affects all parts of industry segments across the globe

o After agriculture and hunting, the construction industry is the least digitalized sector in all categories; assets, usage and labor

o Notable difference on digital status for similar sectors between different countries. However, the construction industry is in general among the least digitized sectors

N. America

Media

Finance and services

Wholesale trade

Advanced manufacturing

Chemicals & pharmaceutical

Utilities

Oil and gas

Basic goods manufacturing

Mining

Real Estate

Transport & warehousing

Retail trade

Pers. and local service

Government

Education

Health care

Entertainment & recreation

Hospitality

Agriculture

Construction

ICT

SectorOverall

digitationDigital

spendingDigital

asset stockDigital

interactions

Digital spend per

worker

Digital spending

Digitization of work

Digital transactions

Digital business

processes

Professional services

Construction industry is one of the least digitalized sectors

Relatively lowdigitization

Relatively highdigitizationThe MGI Industry Digitization Index for Europe

Assets Usage Labor

6

Key drivers for

Supply Chain

leadersContinual downward pressure on cost and working capital

Technology must support increasingly complex supply networks

Risk of serious disruption to the free flow of goods between UK and EU

Digital Supply Chains require new talent

New markets available to leaders and innovators

The How? Exploiting the

potential of digitalization

8

Digital transformation in the industry

Source: CPA (2016) – Future for Construction Product Manufacturing: Digitalization, Industry 4.0 and the Circular Economy

9

A shift from modelling to intelligence

Source: coBuilder

Can we win? WHAT next ?

Source: CB Insights https://www.cbinsights.com/research/construction-tech-startup-market-map/

Recent years have seen a sharp increase in investments into construction startups and tech

Construction actors, start-ups and others are entering the digital space, developing solutions to enhance productivity and reduce construction costs

Can we standardize our data, governance?

What about data integrity and security?

What’s the right digital format ?

What is the right platform ?

What can we do to make the construction more productive ?

Do we need BIM Objects ?

11

17.05.201911

Impact of converging technologies on manufacturing

Source: World Economic Forum

A window exchange – what is a window?

Source: coBuilder

13

The issue we have in the industry is not agreeing, data in silos

Source: coBuilder

14

Platforms development through Data Templates

Source: coBuilder

15

This will be replaced by data you can trust !

Source: coBuilder

16

AUTHORING ENVIRONMENT

LINK TO DIGITAL

SPECIFICATION

PUBLISH TAILORED SOLUTIONS

DIGITAL MARKETPLACES

DIGIATAL ASSET PLATFORM

BUILDING ELEMENT

PRODUCT

BUILDING MODULE

EQUIPMENT

Source: coBuilder

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Virtual model of a real asset

Linking real-time sensor and performance data with static asset data

Integrating mapping, documentation, 3D modelling, product & system data, gaming and real-time performance

Optimising use-stage of assets

Digital twins

18

A Built Environment Platform

IBM IP EC&O

Business and Construction platforms

Outside-in

Demand for Digital Reinvention™Changing customer

expectationsInterconnected

Dictionaries

Inside-out

New outcomes from interoperable and structured data possible with:

Automation BlockchainArtificial

Intelligence

Mass consumer platform

Technology Interoperable platform

Business platform

Internal External

Structured DataMachine readable Data

PeopleEnabled professionals

Pools of expertise

ProcessCognitive workflow C

ust

om

ers

Ou

tco

me

s

19

Digitally Connected Supply Chain

5/17/201919

Manufacturing

Digitally connected and optimized supply chain

Owner

Request

Design and

procurement

Approvals

and testingManufacture

Supply-chain

coordinationSite work Post-construction

Dig

ital

ized

Su

pp

ly C

hai

ns

• Components selected on digital marketplace

• Full transparency of lifetime costs

• Automatic regulations checking and certification

• Product data dictionaries

• High quality, mass customisation and assembly

• Manufacturing data directly from generated models

• Manufacturing-led consortia and optimised configuration rules

• Mass customisation, just-in-time delivery

• Optimised site work and flexible, virtual workforce

• Universal technology interfaces supported by technology

• Leasing of products and performance

• Predictive maintenance and circular economy

We need to build more, with less, and

quicker!Response

Potential for increased productivity and less waste

Potential for reduced whole life costs

Potential for greater predictability (cost/time)

Less time on site reduces health & safety risks

Can be a more sustainable solution and produce greater energy efficiency for building

Skills shortage and ageing workforce among traditional

trades

Desire for increased automation (robotics, 3D printing)

Offsite manufacture?

Drivers for offsite manufacture*

* CITB (2017) Faster, Smarter, More Efficient: Building Skills for Offsite Construction

Contractor or manufacturer

Potential for increased productivity and less waste

Potential for reduced whole life costs

Potential for greater predictability (cost/time)

Less time on site reduces health & safety risks

Can be a more sustainable solution and produce greater energy efficiency for building

Skills shortage and ageing workforce among traditional

trades

Desire for increased automation (robotics, 3D printing)

The same, and more, can be achieved through

digital, optimized supply chains Response

©PCSG

Case Study Wienerberger – Data Interoperability

• Data Cleansing

• Matrix Logical and Enterprise Data Model

• End to End Data control and Flow

• Governance

• Use of Data Templates and Sigle Source of Truth for the data

• Geometry and Data separation

• Targeted Architecture 20

Case study: Wienerberger e4 House

21Cognitive Home | © 2018 IBM Corporation

Link to Model Geometry

The Wienerberger e4 House concept combines traditional building materials and techniques with standardisation and digital design to reduce construction time whilst maintaining a high level of build quality.

Soon to be launched is the Cognitive Home app that integrates with the building’s sensors and Asset Information Model/Digital Twin to provide a home that is smart from the moment its built.

Data driven adviceThe optimise page presents cards that provide advice to the user based on data collected by the house, for example to help save money on energy bills.

Solution

PLM Analytics, Model Results:

• Classified SKUs into five groups ( Fast Growth, Growth, Mature, Decline, Fast Decline).

• Model identified regional (NA, EMEA, UK and APAC).

• Watson provides insights that drive actions by the planner.

Business Need

To provide Project and Programme management capability, with a cognitive model to enable ELC to deploy an Early Warning System in identifying their declining SKUs. Enabling:

• An efficient market withdrawal keeping cost to a minimum

• Ensuring competitive speed to market with new products and predictable market exit

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Background

• Estee Lauder wanted to track product formulation and brand management in a single place.

• They wanted to understand when products were in decline to maximise revenue and introduce products to market timelier.

Estee Lauder

Solution

• The SmartPlant solution provides a centralised Engineering Data Warehouse and Document Record management system for the Configuration Management of Plant data received from the EPC companies

• IBM is configuring an Out-Of-The-Box solution to support the Document Control & Records Management process, and Configuration & Change Management process

• The IBM team is also migrating over 15,000 records from multiple sources to ensure data was accessible and easily found in one place.

• Project Team was awarded the IT Project of the Year 2017.

Business Need

• The civil nuclear industry is one of the most highly regulated industries in the UK.

• Hitachi's Advanced Boiling Water Reactor (ABWR) to be built in the UK will be the first of their kind in Europe. No nuclear reactor can be built in the UK unless the regulators are completely satisfied that it can operate safely.

• There was an urgent need for a suitable Information Management repository that could relate information supporting the GDA and new information received from the EPC supply chain. The company has to demonstrate the control of records to the ONR to satisfy Nuclear Site licence conditions.

New Nuclear Build

23

Background

A UK energy company developing a new generation of nuclear power stations as they plan to provide at least 5,400MW of new power station capacity to the UK, enough to power around 10 million homes.

SUMMARY

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• DATA is the oil of the industry

• Collaboration between technology,

infrastructure and industry actors is the

key to success

• Development of Federated Industry

Architecture

• Existing Standardisation work will help

• Legislation and Market Surveillance