According to the Normal Accident Theory of Perrow (1925-2019), in systems which are characterised by high complexity and tight coupling, major failures are highly likely rather than unexpected.
Construction projects share these two characteristics, hence the overruns experienced for millennia in most of them.
Complexity is an intrinsic characteristic; but tight coupling is something we might now be able to control or at least monitor closely.
ROQUE.AI can now stop Perrow's Accidents in projects.
Delays affect basically all construction projects globally (70-90%).
The most frequent delay range has been measured to 21-30% of original delivery time, with significantly fewer projects (only 11%) experiencing delays of less than 10% — down from 28% in 2016.
This trend indicates that delays are not only common but are becoming longer and more severe.
There should be something broken in the traditional construction management process.
with stakeholders rarely on the same page, limited visibility on project status, schedules only occasionally up-to-date, response to delays based on gut feelings, and no close follow up on mitigation decisions. Unless we break out of this vicious circle with ROQUE.AI.
There are several measures which could be applied to control overruns, but are usually considered unfeasible, due to high computational complexity.
But in the world of AI this might no longer be the case; we could utilise existing (and upcoming) state-of-the-art AI tools to supplement human experience and eliminate overruns.
Computational and communication time could shrink materially, with reasonable cost, transforming on-time delivery of projects from (science) fiction to reality.
based on the unique ROQUE.AI methodology, with site and office teams sharing identical views, full visibility on project status in real time, schedules continuously updated, regular optioneering on potential mitigation measures and systematic follow up on decisions made.
Let us show you what ROQUE.AI can do for your project.
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