Reported by: Andy Brown
Consultancy McKinsey & Company has formalised an alliance with ALICE Technologies to expand the use of AI-driven scheduling in capital projects.
McKinsey and ALICE have formalised a partnership to optimise planning on complex capital projects, such as bridges.
The partnership builds on more than five years of collaboration between the two companies, focused on using advanced analytics and generative scheduling to improve planning and delivery on complex projects.
Generative scheduling uses data-driven models to test and optimise construction schedules, allowing teams to evaluate multiple sequencing and resource scenarios and make trade-offs between cost, duration and risk.
According to McKinsey, the approach has been deployed with more than 35 clients across sectors including infrastructure, energy and data centres, with reported schedule reductions of up to 20%.
In one example, a data centre project saw its baseline construction schedule reduced by around 40% after applying the technology.
Mark Pitcher, a partner in McKinsey’s Capital Excellence Practice, said, “Building more robust, analytics-driven schedules is a critical opportunity for the industry, and one that can drive significant improvements in cost and schedule performance.”
René Morkos, CEO and founder of ALICE Technologies added that, “Generative scheduling is reshaping how complex capital projects areplanned and delivered.”
However, both companies emphasised that technology alone is not sufficient to close the productivity gap, highlighting the need for changes to operating models and project delivery processes.
The announcement comes as the construction sector faces increasing pressure to improve cost and schedule performance despite rising levels of investment in major projects.
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