2 Feb 2024

An MCA Linear Additive Method for Research Project Analysis

Abstract: This report describes a business intelligence (BI) model developed by the Cold Regions Research and Engineering Laboratory (CRREL) to evaluate multiple projects simultaneously and help researchers learn descriptive phrases found in alignment sources representative of their projects. The BI model combines the linear additive model with the analytical hierarchy process to take advantage of the qualitative and quantitative nature of both methods. The model has five variations, all built along the same objectives but with different criteria due to the specialized emphasis areas of each variation. The BI model operates around three central concepts for evaluating the projects: Alignment Variables, Timing, and Customer Relationship. A use-case scenario with ten projects shows the effectiveness of the model and compares it with another model from the United States Military Academy. This new BI model will assist researchers in developing and proposing research ideas that are more relevant and fundable.

30 Sep 2021

Alternative Analysis for Construction Progress Data Spatial Visualization

Abstract: The U.S. Army Corps of Engineers (USACE) construction projects have multiple stakeholders that collaborate with project delivery team members during the execution of these projects. Many of these stakeholders are located across the U.S., which makes virtual interactions a common communication method for these teams. These interactions often lack spatial visualization, which can add complications to the progress reports provided and how the information is received/interpreted. The visualization of project progress and documents would be invaluable to the stakeholders on critical projects constructed by the USACE. This research was conducted to determine alternatives for migrating Resident Management System (RMS) data into a portal web viewer. This report provides proposed solutions to creating these links in efforts to better harmonize data management and improve project presentation.

21 Sep 2020

Integrated Rule-Oriented Data System (iRODS) and High Performance Computing (HPC) Project Management Plan

Abstract: This project management plan (PMP) is established to provide guidance on the management of the Integrated Rule-Oriented Data System (iRODS) Project. The PMP and its associated plans are the primary source of information for how the project will be planned, executed, monitored, controlled, and closed. The intended audience of the plan is all project stakeholders including the project manager (PM), Engineered Resilient Systems (ERS), High-Performance Computing (HPC), and the Geocent project team members.