User Focus and Simulation Improve Predictions of Piracy Risk

Leslie A. Slootmaker (), Eva Regnier (), James A. Hansen () and Thomas W. Lucas ()
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Leslie A. Slootmaker: US Navy—Command Carrier Strike Group TWELVE, Unit 60009, FPO AE 09506-4704
Eva Regnier: Naval Postgraduate School, Monterey, California 93943
James A. Hansen: Naval Research Laboratory, Monterey, California 93940
Thomas W. Lucas: Naval Postgraduate School, Monterey, California 93940

Interfaces, 2013, vol. 43, issue 3, 256-267

Abstract: Piracy is an increasingly costly and violent threat to commercial shipping and other vessels off the Horn of Africa. However, because pirates operate in small vessels that cannot navigate or attack in high seas or winds, pirate activity is highly sensitive to environmental conditions. The US Naval Oceanographic Office provides an operational forecast of the pirate threat; counterpiracy forces use this forecast to allocate their efforts over several million square miles. The most recent version uses simulation to model the effects of pirate behavior in interaction with winds, waves, and currents over time to forecast the geographic distribution of the pirate threat. As part of the development of the pirate behavior model, one author traveled to Bahrain to interview counter-piracy forces. We then used carefully designed simulation experiments to identify the variables that are most influential in determining the distribution of predicted pirate activity. The results confirmed the importance of elements of the pirate behavior model that were derived from our operator interviews, informed decisions regarding operational settings for key parameters, and generated insights to guide future updates to the model and intelligence-gathering efforts. The resulting model uses our recommendations, including alternate pirate search patterns. It has been operational since March 2011 and is briefed daily to the senior leadership of US Naval Forces Central Command.

Keywords: defense; applications of simulation; design of experiments (search for similar items in EconPapers)
Date: 2013
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