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Exploring lean construction and the future of building design | Professor Iris Tommelein, University of California, Berkeley

2025-10-08 21:36:54

And how could we do better in our approach to pharmaceutical facility design?.

It creates opportunity.. To purchase this book, visit., Asia-Pacific Lead at Bryden Wood, talks to., Director of Integration at.

Exploring lean construction and the future of building design | Professor Iris Tommelein, University of California, Berkeley

and MMC Lead for the.They are joined by Simon McCarthy, Principal Structural Engineer from Bryden Wood.. Click the 'play button' above to listen in, or read our 5 Key Takeaways from this episode below.... 1.Modern Methods of Construction (MMC) is a new, exciting market in Australia..

Exploring lean construction and the future of building design | Professor Iris Tommelein, University of California, Berkeley

But state governments need to do more to support it.At the moment, Victoria is going in one direction.

Exploring lean construction and the future of building design | Professor Iris Tommelein, University of California, Berkeley

New South Wales is going in another.

Victoria’s permanent modular skill building program increased the number of offsite fabricators from five to 16 in four years and they recently released their offsite construction guidelines.Our data centre clients prioritise cost reduction, faster construction timelines and environmental responsibility.

To achieve these goals, a seamlessly integrated heat rejection system, tailored to the building's design and local conditions, is crucial..While data hall requirements are established early in design, the chosen heat rejection system must adapt to local conditions, such as climate and water availability.

For global data centre operators, achieving consistency across facilities offers advantages like standardised, streamlined procurement (including DfMA modules) and condensed construction timelines.However, multiple options for heat rejection systems are crucial to ensure optimal efficiency based on local factors..