Title: Probabilistic modelling of the role of the human factor in the Helicopter-Landing-Ship (HLS) situation
Authors: E. Suhir
Addresses: Physical Sciences and Engineering Research Division, Bell Laboratories, Murray Hill, NJ (ret.), USA; Department of Electrical Engineering, University of California, Santa Cruz, CA, USA; Department of Mechanical Engineering, University of Maryland, College Park, MD, USA; ERS Co., Los Altos, CA 94024, USA
Abstract: This analysis contains a novel attempt to quantify, on the probabilistic basis, the role that the human factor plays, in terms of the total operation time, in the Helicopter-Landing-Ship (HLS) situation. The considered operation time includes the time required for the officer-on-ship-board and the helicopter pilot to make their go-ahead decisions, and the time needed for the actual landing. It is assumed, for the sake of simplicity, that these times could be approximated by the Rayleigh law, while the duration of the lull follows the normal (Gaussian) law. Safe landing can be expected if the probability that it takes place during the lull time in the sea condition is sufficiently high. We develop a simple, easy-to-use and physically meaningful model to evaluate this probability. Our model can be used in the risk analysis of the landing situation, as well as in the probabilistic assessment of the strength of the helicopter undercarriage, if necessary. The model can be employed also when developing guidelines for personnel training and particularly when there is a need (intent) to establish (specify) the acceptable (allowable) decision making time.
Keywords: human factors; risk assessment; probabilistic modelling; safety at sea; helicopter-landing-ship; total operation time; ship officers; helicopter pilots; helicopter landing; helicopters; safe landing; sea conditions; undercarriage strength; personnel training; decision making.
International Journal of Human Factors Modelling and Simulation, 2010 Vol.1 No.3, pp.313 - 320
Available online: 07 Nov 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article