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AI Tackles Construction's Billion-Dollar Delays
1 Jun
Summary
- Massive construction projects face costly delays due to various supply chain and labor issues.
- Semiconductor industry practices like DFM are being adapted for construction.
- Krane uses AI to manage supply chain risks and procurement in construction.
Large-scale construction projects, often spanning a decade and costing billions, are susceptible to significant overruns. Factors such as material availability, supplier issues, and regulatory changes can lead to costly delays and scope revisions, as seen in projects like New York's Hudson Yards. This contrasts sharply with manufacturing sectors like semiconductors, which embed Design for Manufacturing and Reliability principles early in the design phase.
Construction is beginning to adopt similar AI-driven approaches. Companies are leveraging artificial intelligence to analyze supplier performance, assess procurement risks, and optimize supply chain management. This technology integration aims to mitigate the inherent unpredictability of one-off mega-projects, moving towards more controlled and predictable outcomes.
Krane, established in 2022 by Eshan Jayamane, is at the forefront of this shift. Drawing on his extensive experience in major construction ventures, Jayamane recognized the need for intelligent supply chain solutions. Krane's AI tools focus on evaluating suppliers and managing procurement risks throughout the design and construction lifecycle.
