Building design is gradually moving from 2D drawings to 3D designs in a BIM environment. Yet, the way these designs originate has remained fundamentally the same: human designers painstakingly draw the floor plans and vertical plans line-by-line. This traditional approach has many inherent issues: the impact of the design on operations and the building performance cannot be evaluated early on, and it requires many time-consuming and error-prone iterations between architects, engineers and builders.
“The approach to designing buildings has not fundamentally changed through BIM: instead of drawing the plans for the pyramids with a stick in the sand, you now draw your BIM models with a computer mouse”
Deepak Aatresh, Chief Executive Officer, Aditazz
Aditazz has introduced a new way of designing buildings through design automation, an approach borrowed from the semiconductor industry. The Aditazz platform assists owners, architects and engineers in the development of building design with the help of software algorithms. The initial input is a set of design rules based on client requirements, constraints, building codes and workflows. An example might be a nurse who needs to reach a patient’s bedside in 60 seconds or less. The technology then automatically generates a variety of different designs that incorporate all of these inputs. Hundred of design options undergo simulation and virtual operation to identify the optimal solution. A BIM model and building metrics like CapEx and OpEx, quantities of buildings materials and operational performance are direct outputs of the model.
By automating complicated often mundane tasks, eliminating errors and omissions in real-world projects, Aditazz improves design-and-construction productivity as well as reduces construction and O&M costs through space optimization and material savings.
Learn more about the impressive savings the platform realized when optimizing existing and Greenfield projects and how the company has overcome the barriers to innovation – resistance from clients, incompatible traditional procurement models and poor input data quality – in the full case study. It can be downloaded on the right.