Facility Degradation and Prediction Models for Sustainment, Restoration, and Modernization (SRM) Planning

Abstract

This report describes the process for integrating the BUILDER Sustainment Management System (SMS) condition life cycle and prediction analysis capabilities with condition assessment information from the Army Installation Status Report for Infrastructure (ISR-I) program to create BUILDER life-cycle condition models. It expands upon previous efforts to integrate the two systems with a common building component and assessment data framework. This framework is based on the ASTM International UniFormat II classification system elements used to integrate the ISR-I facility components for 63 booklets with BUILDER inventory items. The framework developed in previous work provides the foundation for comprehensive engineering analysis in support of common system functionality between BUILDER and ISR-I. The Army uses ISR-I data and analysis to determine current requirements for facilities. Prediction capabilities allow for better planning for future requirements. This combination provides comprehensive tools and metrics for program-level prioritization of facility management funds for optimal benefit to Army readiness. Prediction model integration was analyzed under the US Army Installation Technology Transition Program (ITTP). The objectives of this demonstration project were to (1) identify a process to transfer ISR-I condition-rating data to BUILDER and (2) use that condition data to compute life-cycle condition metrics.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2012
Accession Number
ADA570002

Entities

People

  • Michael N. Grussing

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Application Software
  • Army Facilities
  • Classification
  • Cycles
  • Degradation
  • Engineering
  • Engineers
  • Geographic Information Systems
  • Information Systems
  • Infrastructure
  • Life Cycle Management
  • Life Cycles
  • Management Personnel
  • Probability
  • Probability Distributions
  • Ratings
  • Reliability

Readers

  • Computational Modeling and Simulation
  • Defense Technology Research and Development.
  • Facility/Structural Engineering.