abstract: At least 30 datacenters either broke ground or hit the planning stages around the United States over the past two years. On such technically complex projects, Mechanical, Electrical and Plumbing (MEP) systems make up a huge portion of the construction work which makes data center market very promising for MEP subcontractors in the next years. However, specialized subcontractors such as electrical subcontractors are struggling to keep crews motivated. Due to the hard work involved in the construction industry, it is not appealing for young workers. According to The Center for Construction Research and Training, the percentages of workers aged between 16 to 19 years decreased by 67%, 20 to 24 years decreased by 49% and 25 to 34 age decreased by 32% from 1985 to 2015. Furthermore, the construction industry has been lagging other industries in combatting its decline in productivity. Electrical activities, especially cable pulling, are some of the most physically unsafe, tedious, and labor-intensive electrical process on data center projects. The motivation of this research is the need to take a closer look at how this process is being done and find improvement opportunities. This thesis focuses on one potential restructuring of the cable pulling and termination process; the goal of this restructuring is optimization for automation. Through process mapping, this thesis presents a proposed cable pulling and termination process that utilizes automation to make use of the best abilities of human and robots/machines. It will also provide a methodology for process improvement that is applicable to the electrical scope of work as well as that of other construction trades. / Dissertation/Thesis / Masters Thesis Construction Management 2020

Construction project performance and worker productivity are often tied to the availability and effective presentation of information, tools, materials, and equipment. While advancements in technology have improved much of the processes on a construction project, the medium of information dissemination at the construction work face has consistently relied on the use of two dimensional drawings and specifications. Industry initiatives are driving increased collaboration through three dimensional BIM (Building Information Modeling) models. However, the added dimension partially loses its effect when presented on a two dimensional computer monitor. Other computer forms of presentation intended for mobility (PDAs, laptops, and tablets) can be difficult to use in the field due to glare, durability in a harsh working environment, and the required skill level for effective use. Three dimensional (3D) physical printers now provide the capability to develop scaled and color models of a project directly from a BIM model. 3D physical printers represent a potential transformative change of providing engineering information to construction crews, but how to develop 3D models that leverage the cognitive benefits of viewing engineering information in a physical 3D form is unknown. The primary contribution to the overall body of knowledge of this dissertation is to scientifically examine the effect that different engineering information mediums have on an individual’s cognitive ability to effectively and accurately interpret spatial information. First, the author developed a robust scientific experiment for construction practitioners and students to complete. This experiment included outcomes measures on mental workload, cognitive demand, productivity, efficiency, demographics, and preferences. After collecting data, the author analyzed the outcomes through a series of statistical analyses to measure the differences between groups and quantify the affect and relationship among key variables. From the results, there are statistically significant improvements in productivity and efficiency of practitioners and students when using a physical model compared to two dimensional drawings and a three dimensional computer model. In addition, the average cognitive demand for a physical model was lower than the average cognitive demand for two dimensional drawings and three dimensional computer model.