Any sample inventory will do

a$.$ Create a $2024$ Monthly Forecast of the core product$/$s using a simple exponential

smoothing method.

A simple exponential smoothing is computed as:

$F_{t+1}=D_t+(1-)F_t$

where:

$F_{t+1}=$ the forecast for the next period

$D_t=$ actual demand in the present period

$F_z=$ the previously determined forecast for the present period

$=$ a weighting factor referred to as the smoothing constant

b$.$ Represent the actual data for each month in $2022$ as Dt$,$ the forecasted data for

each month in $2023$ as Ft $,$ and the forecast for each month in $2024$ as $Ft+1.$

Utilize a smoothing constant of $0\mathrm{.}15.$

c$.$ From the data gathered and the problems $($decision$-$making problems$)$

encountered by the manager create a linear programming model $($for the chosen

core products$)$ clearly showing the $5$ steps in formulating an LP model.