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By using a simple three-month moving average, the forecast for this month is calculated as follows:

$\mathrm{Simple}\mathrm{moving}\mathrm{average}=\frac{\left({\mathrm{A}}_1+{\mathrm{A}}_2+..........+{\mathrm{A}}_{\mathrm{n}}\right)}{\mathrm{n}}$

$Forecast(thismonth)=\frac{\left(325+350+400\right)}{3}=358$

The forecastis the calculation that is the data from real-time activities and is dependent on the set of variables that are figured out for the number of statistical forecast situations.

If 300 units were demanded this month, then the forecast be for next month is calculated as follows:

$\mathrm{Simple}\mathrm{moving}\mathrm{average}=\frac{\left({\mathrm{A}}_1+{\mathrm{A}}_2+..........+{\mathrm{A}}_{\mathrm{n}}\right)}{\mathrm{n}}$

$\mathrm{forecast}\mathrm{for}\mathrm{the}\mathrm{next}\mathrm{month}=\frac{\left(300+325+350\right)}{3}=325$

If the exponentially smoothed forecast for three months ago was 450 units and the smoothing constant was 0.20, the forecast for this month is calculated as follows:

${\mathrm{F}}_{\mathrm{t}}={\mathrm{F}}_{\mathrm{t}-1}+伪({\mathrm{A}}_{\mathrm{t}-1}-{\mathrm{F}}_{\mathrm{t}-1})$

role="math" localid="1650535070962" $\begin{array}{l}\mathrm{F}\left(\mathrm{twomonthsago}\right)=450+.20(400-450)=440\\ \mathrm{F}\left(\mathrm{onemonthago}\right)=440+.20(350-440)=422\\ \mathrm{F}\left(\mathrm{thismonth}\right)=422+.20(325-422)=403\end{array}$