Lowering Lifetime Costs of Critical Assests
At McCarl’s, we improve cost predictability in construction by combining technology and a transparent relationship with each client to produce a well-defined scope of work. Within that scope, our engineering and construction teams become involved early in the bid process to provide valuable inputs for an optimal execution plan.
The McCarl’s approach of implementing front-end planning and strong project controls ensures continuity through the design and construction phases of the project. The Design-Build approach enables the McCarl’s team to maintain control of the project and own the layout to fit the schedule more easily. This translates to a lower cost impact and less effort by the client to manage a project schedule.
McCarl’s approach to front-end engineering and design leads to benefits for the overall project outcomes beyond form, fit and function. Front-end engineering and design benefits can include lower project costs, reduced technical, schedule and HSE risks as well as improved identification of project risks and liability.
McCarl’s reality capture and digital twins enabling future projects and maintenance activities, a precision tool to build from. Digital data is valuable not just during construction, but also during operations. Digital as-built twins allow planners to schedule and order components with greater confidence, reducing future costs and human touch-time.
Building
Information
Modeling (BIM)
When Close isn't Good Enough
Heavy construction meets high tech or more accurately, physical meets digital. Through the marriage of LiDAR, robotics, UAV’s, GIS and artificial intelligence, McCarl’s creates digital twins that are accurate to +/- 1mm. Work products can be verified without expensive destructive testing or field fits. Although BIMs are more than a simple 3D rendering of a system of objects in a Point Cloud. McCarl’s utilizes the layers BIMs are capable of to incorporate scheduling, costing and sustainability information transforming the 3D model into a digital twin.