This book fuses concepts from operations research with fire science to analyze and evaluate operational aspects of fire departments. Specifically, the author uses queuing theory to predict the probability of citizen calls for service, facility location models to evaluate fire station relocation, and simulation to combine both temporal and spatial aspects of fire service provision. The author demonstrates the efficacy of this methodology through a case study partnership with the Alexandria, Virginia, fire department. The book concludes that analytical models can provide valuable information to aid fire department managers in making decisions.
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Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. This book fuses concepts from operations research with fire science to analyze and evaluate operational aspects of fire departments. Specifically, the author uses queuing theory to predict the probability of citizen calls for service, facility location models to evaluate fire station relocation, and simulation to combine both temporal and spatial aspects of fire service provision. The author demonstrates the efficacy of this methodology through a case study partnership with the Alexandria, Virginia, fire department. The book concludes that analytical models can provide valuable information to aid fire department managers in making decisions. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9780265049365_0
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9780265049365
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9780265049365
Quantity: 15 available