Abstract
Human reliability models are presented for optimal operator learning time under cost constraints. The optimum learning time is determined both by minimizing the expected total cost and by satisfying a human reliability objective. The sequential unconstrained minimization technique (SUMT) is used to solve this nonlinear problem. Numerical examples have been included to illustrate the models.
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