4 Apr 2022

Risk-Based Prioritization of Operational Condition Assessments: Jennings Randolph Case Study

Abstract: The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.

4 May 2021

Investigating the USACE Operational Condition Assessment Process Current and Future

Abstract: The US Army Corps of Engineers operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure and relies on the Operational Condition Assessment (OCA) process to determine the condition of the assets and their components. The sheer number of components, all of equal OCA scheduling priority, creates challenges in ensuring that assessments are conducted in a timely manner and that data generated are of sufficient quality to inform resource allocation decisions. This research applied methods from systems design to determine the OCA system “as-is” state and create a stakeholder-informed vision of a “to-be” state that addresses current system challenges. To meet its objective of providing current assessments of asset condition, the OCA system must provide four high-level functions: provide access to asset data, conduct assessments, determine asset risk, and prioritize and schedule assessments. The development of capabilities to provide these functions will facilitate the achievement of the OCA system to-be vision: a consistent view of asset condition and risk across the enterprise.

25 Aug 2020

PUBLICATION NOTICE: Insights: An Update of the USACE Data Strategy Initiative; November 2019 Edition

Abstract: The Data25 strategy was advanced in FY19 by the U.S. Army Corps of Engineers’ Chief Information Officer (USACE CIO) by funding pilots to show the power of data analytics on real USACE operations. This report details pilots that were conducted in three of USACEs Business Lines; Dredging, Hydropower, and Military Construction. The purposes for each of these pilots are listed below. 1. Enterprise value: Demonstrates the power of data analytics and its ability to generate business value by improving decision-making across the organization. 2. Technology value: Helps the CIO understand how cloud technology could support the overall data strategy. 3. Business value: Provides examples of data analytics in action. This view helps the Business Lines, Divisions, and Districts understand what it takes to supplement decision-making with insights generated from data. The main purpose of the pilots was to provide a glimpse of what could be gained from data analytics. From the initial business questions, the pilot Business Lines are seeking to use data to improve decisions through the automation of business processes, more rapid decision cycles, and the layering of previously siloed data on their own to reveal new insights.

25 Aug 2020

PUBLICATION NOTICE: Insights: An Update on the USACE Data Strategy Initiative; April 2019 Edition

Abstract: The U.S. Army Corps of Engineering (USACE) Commanding General, LTG Todd T. Semonite, announced 10 initiatives on May 2018 to improve execution through informed decision-making, enabling lower costs, and world-class engineering results today and tomorrow. Two of the initiatives were geared to transition USACE to data-informed decision-making through the use of data analytics. The first of these two initiatives sought to implement a data strategy that included a doctrine and governance, through creation of a data management plan. The plan implemented tools to aggregate data across the organization and improve reporting. Dr. Cary Butler, USACE Chief Data Scientist, led this effort. The second initiative sought to establish a dedicated USACE Innovations Team to build and recruit a skilled team to act as finders and enablers of innovative, enterprise solutions that enabled USACE to become a digital business. The USACE Chief Information Officer oversaw both initiatives. Because goals and objectives overlapped in many areas and gathered momentum for these initiatives, leaders from both teams came together and decided that showing the business value of data analytics to improve decision making across the Corps should be a top priority. This document was used to report on the progress of the initiatives and give a better understanding of the need for data-informed decisions throughout USACE.

25 Jun 2020

PUBLICATION NOTICE: Applications of value modeling to USACE Civil Works and beyond

Abstract: The US Army Corps of Engineers (USACE) Civil Works (CW) portfolio includes $250 billion worth of capital assets. As infrastructure ages and budgets change, new asset management (AM) investment strategies are required to support the maintenance, repair, and replacement (MR&R) of these assets while also providing the greatest value to the USACE and to the Nation. Shrinking budgets and increased scrutiny of government expenditures drive efforts to determine how best to optimize government funds for infrastructure improvement. As a result, USACE-CW AM seeks to create a value model capable of calculating the benefit of MR&R project alternatives regardless of business line. Furthermore, USACE-CW seeks to explore whether such a value model could be used for the generation of defensible budgets that consistently bring high value to the USACE and to the Nation. Thus, this special report reviews past USACE CW efforts to develop a value model for decision analytics. This report also provides an introduction to value modeling while covering applications of value modeling in multiple areas, including AM and portfolio decision analytics.