SARIMA(1,1,1)x(1,1,1)12 of {Xt} involves AR(1), AR(12), AR(13), MA(1), MA(12) and MA(13) terms of the first non-seasonal difference of the first seasonal difference of {Xt}. Rather than look for an automatic Eviews code for the model I fit to the difference of differenced series an ARMA([1],[12],[13]; [1], [12],[13]). I know there is in existence automatic Eviews codes which may still be used. Additive SARIMA modelling is still evolving and has no known codes for now. 

Thank you Ette. If I use seasonal AR terms and seasonal MA terms, is this the correct correct Eviews command to estimate  the model, SARIMA (1,1,1)x(1,1,1)12  equation model1.ls d(log(xt,1,12) ar ma sar(12) sma(12)?

Thank you

A multiplicative decomposition almost relevant to an additive decomposition of the logarithms,

Data =  Non-Seasonal Effect * Seasonal Effect

Log(Data) = log(Non-Seasonal Effect ) + log( Seasonal Effect)

So you can estimate your model as follows;

For multiplicative SARIMA:

SARIMA(Data) = SARIMA(Non-Seasonal Effect(1,1,1) * Seasonal Effect(1,1,1)12)

For additive SARIMA :

SARIMA(log(Data)) = SARIMA(log(Non-Seasonal Effect(1,1,1) ) + log(Seasonal Effect(1,1,1)12))