List and Explain two $($of four$)$ types of qualitative forecasting methods.

Given the following information, calculate the forecast $($round to nearest whole number$)$ for period four using exponential smoothing and $=0\mathrm{.}3.$ Use a tracking signal to determine if there is a bias problem with the forecasting method. $($Assume the control limit for the tracking signal is $+-3.$

Period Demand Forecast

$1,1620,1590$

$2,1680$

$3,1720$

$4,1770$

$3.$ List FOUR benefits that can be achieved by implementing a successful CPFR program.

$4.$ The four components of time series data are: trend variations, cyclical variations, seasonal variations, and random variations. Briefly describe each type of variation.

$5.$ Answer the following questions regarding quantitative and qualitative forecasting:

a$.$ Define quantitative forecasting.

b$.$ Explain the na$$ve forecasting method and give an example.

c$.$ What are the benefits of using the na$$ve forecasting method?

d$.$ Under which circumstances would one utilize a combination of both quantitative and qualitative forecasting?