The optimal designs and statistical inference of accelerated life tests under type-I are studied for
constant stress-accelerated life tests CSALTs. It is assumed that the lifetime at design stress has
generalized logistic distribution. The scale parameter of the lifetime distribution at constant stress
levels is assumed to be an inverse power law function of the stress level. The maximum likelihood
ML estimators of the model parameters, Fisher information matrix, the asymptomatic variancecovariance
matrix, the confidence bounds, the predictive value of the scale parameter, and the
reliability function under the usual conditions are obtained under type-I censoring. Moreover, the
optimal design of the accelerated life tests is studied according to the D-optimality criterion to
specify the optimal censoring time. Finally, the numerical studies are introduced to illustrate the
proposed procedures.