Question 36 0/ 3pts Consider the following data regarding the Fiske Spinner, a rotary device used in the production of the ABS Brake Assembly. Product Cost $34.75 Holding Cost 10% of Product Cost Order Cost $375/order Safety Stock 100 units Monthly Demand 2,500 units (assume that demand remains constant throughout the year) What is the total annual inventory cost (including product costs) of the Fiske Spinner? In determining the number of orders per year round up to the nearest whole order and consider all costs associated the spinner inventory. This Problem Counts 3 PointsO $56.625 O $86.875 O $1,042.500 O $1,051,768 O $1,099.125|.':lues1l:ion 3? 3 I 3 PB Consider the following actual demand and forecast data for Revnoids Minerals a regional distributor of commercial sand. All data is in tons. Develop a forecast for month 10 using exponential smoothing with a smoothing constant of .1 Select the answer that best matches your; This Problem Counts 3 Points O 819 O 821 O 824 O 826 O 817Question 38 2/ 2 pts Continuing with Reynolds Minerals. Instead of using exponential smoothing, forecast the demand for Month 10 using the a four month weighted average of actual demand with the weights of .5..3, .1, and .1 Actual Month Forecast Weights Demand 1 788 890 2 804 819 3 798 808 4 800 801 5 810 800 6 820 807 1 7 799 816 1 822 804 .3 9 823 817 5 10 11 12This Problem Counts 2 Points O 818 O 814 O 810 O 812 O 822Question 39 1" 2"\" Continuing with Reynolds Minerals what is the Mean Absolute Deviation of the Forecast [months 1 through 9}? \"CITE: The Month 1 Forecast of 1'33 was derived from the forecasting formula and was not a 'pickecl' 1le'alue. This Problem Counts 2 Points 2/2 pts Question 40 Continuing with Reynolds Minerals, what is the Tracking Signal for months 1 through 9? This Problem Counts 2 Points O 9.800 O .0895 O 4.5937 O .5104 O 1.950Question 41 0 / 3 pts This Problem Counts 3 Points Use the following data, what is the Tracking Signal for periods 1 thru 4 and what does this tell you? Week Demand Forecast 1 900 800 2 1,321 925 3 1,212 1266.38 4 1,658 1282.26O TS = 1.09 and is small enough that it is adequately tracking changes O TS = -43 and is small enough that it is adequately tracking changes O TS = .43 and is positive so model is positively correlated with demand. O TS = -1.09 and is negative so model is positively correlated with demand O TS = 3.53 so model is tracking in an acceptable range but nearing the point where it should be investigated for bias