Performance Building Systems
RE-THINK | PLAN | PREDICT | ORGANIZE | REMOVE | INNOVATE

RE-THINK Production and Performance 

Lack of knowledge…that is the problem.      W. E. Deming

Breakthrough advancements in facility planning, production and performance are now available that bring greater value to the owners and occupants. This is achieved through a basis of knowledge that has not been available in the modern era. This knowledge links both the causes (building development) and the effects (facility operation and value). As such it enables owners and building teams to re-think the entire planning, production and performance process to predict and achieve value improvement throughout the life of the facility.

Because of the complexity and variability of commercial construction more sophisticated measurement and modeling technologies are needed to provide this basis of knowledge. Through our cloud-based Facility Planning and Information Modeling technology, Building Catalyst (and accompanying tools), this need is satisfied. Although this technology is not the complete answer, it enables and supports the breakthrough in process improvement and organization restructuring. As you can see here there are five key stages to advancing knowledge – for a more stable system, and then to remove waste – to optimize the whole building.

 140806 Five Stages Graphic

Although not widely practiced in most parts of the country – the current State of the Art in commercial construction involves a compliment of Building Information Modeling (BIM), Lean Construction along with Integrated Project Delivery (IPD), and Leadership in Energy and Environmental Design (LEED). One reason that these are not widely practiced is that their proponents have not been able to provide the empirical proof of improvement. And this is because, as an industry, construction has not been able to establish and submit to measurement according the aim and functions of a facility. Performance Building Systems gives owners and building teams the ability to measure and model – and therefore – to prove effectiveness at several levels including programming, design, construction and facility operations.

To better understand these five stages, we have created a “story board” from a hypothetical medical office building in St. Louis.

Stage 1: Advanced Planning and Decision Making – learn how perform predictive modeling of one or many building solutions or scenarios starting at the inception of a project or space need.

Stage 2: Steering to more Certain Outcomes – learn how to choose the intended results starting in the early planning stages, and to track and adjust course (if need be) to avoid costs and delays associated with re-design.

Stages 3 and 4: Total Cost of Ownership – learn how to perform predictive modeling, analysis and optimization of the Whole-facility Life Cycle value – and then to integrate and optimize the facility together with the Functional Occupancy.

Stage 5: Advanced Quality and Production System – learn how to develop integrated, long lasting structures and processes in order to dramatically reduce waste and increase value.

Big Data as a Key

In order to achieve measurable improvement, commercial construction must reform its fragmented and insular practices and organizational structures with those that are  truly integrated and long standing. 

There are three concepts that are vital to a reformation of the commercial building process – helping us to re-think how we construct, operate and value buildings. This reformed building process brings a needed and profound body of knowledge enabling, first, stability, and then optimization. 

3 Concepts

It is through these three concepts that decision making information will be made available that connects the built environment to its purpose and occupancy functions. Already, the application of these concepts has shown that profound knowledge through prediction, observation and comparison is possible – even from a relatively small data sampling across completed real-world projects.

Essentially, all information and knowledge regarding a building must submit to standards of measure that support the aim of the building – namely its primary purpose and the inter-dependent functions pertaining to occupancy. As such, acquired knowledge regarding a building will be determined at the inception of a space need through its completion and operation. With consensus standards of measures – the information and knowledge will be consistent from beginning to end – if there there is supporting consensus ontology and epistemology and supporting data and computing systems. Throughout this site you will see how these three concepts are employed to help bring about a transformation that has long evaded us.