Comparative Analysis

The Problem

We lack the ability to objectively measure or analyze a facility’s design efficiency or cost effectiveness in most cases.  Without this ability the construction industry cannot achieve measurable process or value improvement. 

A Solution

Catalyst enables the measurement and comparison of a project’s program, design and production efficiency. Big data analysis provides rich analysis and decision-making resources to drive out waste. Figure 1 illustrates a scatter chart of program, plan, design and delivery efficiencies – actual results compared to predicted.

Figure 1 - Comparative Analysis

Figure 1 – Systems Overview – Direct Building Systems

In this example, the vertical axis displays the program and scope (project massing) efficiency. The horizontal axis displays the systems (and materials) selections and construction delivery or production efficiency. The most efficiently designed and delivered projects are in the lower left quadrant. 

This analysis is provided at the whole building level and at several detailed levels: such as function (i.e. exam rooms, ORs, beds, classrooms, offices, etc.) and building elements (i.e. foundations, frame, enclosure, systems, etc.).

Figure 2 illustrates the analysis of a college science building – specifically the Chemistry Teaching Lab.

Figure 2 - Comparative Analysis

Figure 2 – Systems Analysis – Chemistry Teaching Lab

These projects are normalized to St. Louis, MO in 2018. The top bar represents the baseline or benchmark prediction. The lower bar represents the actual results. The right-side chart shows design efficiency (total building scope divided by the net department area). The left side chart shows the cost effectiveness.

As you can see the total cost per lab ranges from about $2 million to about $2.5 million – a 25% difference. As you can also see, the difference is in the amount of gross building area per lab. This information is rarely, if ever, made available to the owner or project team, but is important to decision making.