- Author
- Weber, S. F. | Schultz, L. I.
- Title
- ALARM 2.0 Users Manual: Minimizing Compliance Costs of the Life Safety Code for Prisons.
- Coporate
- National Institute of Standards and Technology, Gaithersburg, MD
- Sponsor
- Department of Justice, Washington, DC
- Report
- NISTIR 6807, November 2001, 44 p.
- Distribution
- AVAILABLE FROM National Technical Information Service (NTIS), Technology Administration, U.S. Department of Commerce, Springfield, VA 22161. Telephone: 1-800-553-6847 or 703-605-6000; Fax: 703-605-6900; Rush Service (Telephone Orders Only) 800-553-6847; Website: http://www.ntis.gov
- Keywords
- prisons | life safety code | costs | correctional facilities | economic analysis | fire safety | life safety code | building codes | linear programming | optimization | building economics
- Abstract
- ALARM, Alternative Life Safety Analysis for Retrofit Cost Minimization, is a software tool that helps prison facility managers and fire safety engineers achieve cost-effective compliance with the widely-used Life Safety Code of the National Fire Protection Association. The latest version of the software (2.0) supports analysis of Detention and Correctional Occupancies. Through a special provision of the code, ALARM implements a goal-oriented, or performance-based approach to code compliance. The user specifies the current safety level of the facility for each of 13 life safety parameters and then enters quantity and size data on each of the safety improvements to be explored. The software indicates whether the current safety level is in compliance with the code and, if not, quickly finds the least cost compliance strategy and its estimated construction cost. The software takes into account the special conditions in the code that preclude finding solutions by hand. A practice file with data from a sample facility, extensive help with a step-by-step tutorial, and a report utility for viewing and printing results are included. The optimization method used in ALARM has been field tested in 89 hospitals (17,898 beds). For this sample the least-cost solution identified by the software was on average 41% less expensive than the prescriptive solution--a potential cost savings of $2.116 per bed or over $37 million.