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The demand for a product for the past 3 0 periods is shown below. Determine the reorder point, R , and order - up -

The demand for a product for the past 30 periods is shown below. Determine the reorder point, R, and order-up-to-level, S, for this product for the next 6 periods (periods 31-36). Use the following instructions/information.
Plot the demand data. What types of forecasting models would be appropriate for this demand pattern?
The lead time is 2 periods.
Fixed ordering cost is $175/order and inventory holding cost of $9.00/unit/period.
Forecast the demand for this product in Minitab using Double Exponential Smoothing with smoothing constants of \alpha =0.15 and \beta =0.20(use Minitab to generate forecasts).
Calculate the standard deviation of the one-period-ahead forecast error using ONLY the most recent n=8 periods (periods 23-30 only), and \alpha MAD =0.20(use Minitab to generate one-period-ahead forecasts).
a) Determine the reorder points, R, and order-up-to-levels, S, for the next 6 periods using a probability of no stockout (Type-1 service) of 0.94.
b) Determine the reorder points, R, and order-up-to-levels, S, for the next 6 periods using a fill rate (Type-2 service) of 94%.
*See data below
t Dt
1160
2176
3183
4185
5182
6184
7183
8189
9190
10191
11208
12210
13217
14219
15221
16224
17229
18243
19255
20264
21277
22275
23290
24295
25297
26292
27286
28298
29314
30331
*data for problem 4

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