AI for Value Engineering
How AI assists with value engineering on construction projects.
Definition
AI for value engineering helps identify opportunities to reduce costs while maintaining value. AI can analyze designs for cost drivers, suggest alternatives, compare options, and predict cost impacts. AI-powered value engineering helps find savings opportunities that might otherwise be missed.
In Depth
Value engineering (VE) identifies alternative design approaches that achieve the same performance at lower cost. AI supports VE by evaluating alternatives against the project requirements — structural adequacy, code compliance, energy performance, and durability — ensuring that cost reductions do not compromise building quality or function.
The most effective VE occurs during design when changes are still cheap to implement. AI identifies VE opportunities by comparing the specified materials and systems against alternatives that meet the same specification requirements at lower cost. A mechanical system that achieves the same comfort and efficiency with a simpler configuration. A structural system that carries the same loads with less material. A facade assembly that meets the same performance criteria with a less expensive cladding system.
Examples
Identifying high-cost design elements
Suggesting material alternatives
Comparing value engineering options
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
AI for value engineering helps identify opportunities to reduce costs while maintaining value. AI can analyze designs for cost drivers, suggest alternatives, compare options, and predict cost impacts. AI-powered value engineering helps find savings opportunities that might otherwise be missed.
Identifying high-cost design elements. Suggesting material alternatives. Comparing value engineering options.
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