Architecture, Engineering & Construction (AEC)
AEC is a complete solution that considers the initial design and the final management phase of the buildings, infrastructure and plants
BIM in AEC Industry
Building Information Modeling (BIM) is the foundation of digital transformation in the architecture, engineering, and construction (AEC) industry. With the introduction of the concept of BIM, these gaps were being bridged on a larger scale.
As the leader in BIM, Autodesk is the industry's partner to realize better ways of working and better outcomes for business and the built world.
BIM BENEFITS
WHAT ARE THE BENEFITS OF BIM?
The benefits of BIM are through connecting teams, workflows, and data across the entire project lifecycle—from design and engineering to construction and operations—to realize better ways of working and better outcomes.
WHAT IS BIM USED FOR?
BIM is used for creating and managing data during the design, construction, and operations process. BIM integrates multi-disciplinary data to create detailed digital representations that are managed in an open cloud platform for real-time collaboration. Using BIM gives you greater visibility, better decision-making, more sustainable options, and cost-savings on AEC projects.
WHAT ARE THE BENEFITS OF BIM?
The benefits of BIM are through connecting teams, workflows, and data across the entire project lifecycle—from design and engineering to construction and operations—to realize better ways of working and better outcomes.
PLAN
Inform project planning by combining reality capture and real-world data to generate context models of the existing built and natural environment.
DESIGN
During this phase, conceptual design, analysis, detailing and documentation are performed. The preconstruction process begins using BIM data to inform scheduling and logistics.
BUILD
During this phase, fabrication begins using BIM specifications.
Project construction logistics are shared with trades and contractors to ensure optimum
timing and efficiency.
OPERATE
Inform project planning by combining reality capture and real-world data to generate context models of the existing built and natural environment.
