Week |
Demand |
Forecast |
1 |
100 |
120 |
2 |
120 |
130 |
3 |
110 |
120 |
4 |
130 |
125 |
5 |
160 |
145 |
Given the following weekly demand figures, what is the MAD at the end of week 5?...
Given the following weekly demand and forecast figures: Week Demand Forecast 1 27 20 2 21 25 3 39 35 The mean square error is: a) 5 b) 7 c) 10 d) 17 e) none of the above
1. Calculate mean absolute deviation (MAD), mean absolute percent error (MAPE), and tracking signal (TS) based on below information. MAD Period Error Absolute Error 1 lor 2 3 4 5 Demand 155 145 160 151 143 Forecast 130 155 145 160 151 MAD= MAPE Period 1 2 3 4 5 Demand 155 145 160 151 143 Forecast 130 155 145 160 151 Ave Demand MAPE=
Given the following data, what is the Mean Absolute Deviation (MAD): Month Demand Forecast Jan 100 110 Feb 100 100 Mar 120 100 Apr 110 90 May 100 110 Jun 90 100 Jul 80 90 Aug 90 80 Sep 100 110 Oct 110 100 Nov 110 110 Dec 120 110 A. 10 B. 20 C. 30 D. 133.33
Given the following information, the Available to Promise will show ________. Week 1 2 3 4 Forecast Demand 120 120 120 120 Actual Customer Orders 85 100 35 20 Available to Promise MPS 250 250 a. 130, 130, 130, 130 b. 165, 65, 30, 230 c. 130, 10, -110, 130 d. 30, 0, 0, 230
eBook Video Consider the following data for two variables, z and y. i 135 110 130 145 175 160 120 i 145 100 120 120 130 130 110 a. Consider the four scatter diagrams below. 1. 120 100 80 " " 60 40 20 110-120 130 149-150 160 170 2. 120 100 80 60 40 20 110-120-130 140 150 160 170 3. 120 100 80 60 40 20 110一一120一一130 -149 130-100-170 120 100 80 60 40 20 130-140-150一一160一一1zo___ 110 120...
The weekly sales figures for the previous year for a new board game are given below. Assuming a weighting of 3, 2, 1, determine the three-period weighted moving average forecast for the second week in July. WEEK June 1 2 3 4 July 1 2 3 4 5 Aug 1 2 3 4 SALES 4 6 4 5 10 8 7 9 12 14 16
Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons Week Week Forecast Method 1 0.95 1.02 0.92 1 17 Actual Demand 0.72 100 107 Forecast Method 2 0.82 120 Actual Demand 0.72 092 1.11 107 1.00 1.00 The MAD for Method 1 - thousand gallons (round your response to the decimal places) Enter your...
A store has the following demand figures for the last four years: Year Demand 1 100 2 150 3 98 4 112 With a three-year moving average, what is the demand forecast for year 4? 116 105 120 124
Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Forecast Week Method 1 Actual Demand 0.72 1.05 1.00 0.97 Forecast Method2 0.80 1.20 0.88 1.15 Actual Demand 0.72 1.05 1.00 0.97 Week 0.90 1.02 0.92 1.22 2 3 4 4 The MAD for Method 1thousand gallons (round your response to three decimal places) The...
nstructions You are responsible for creating the weekly forecast for Products X, Y, and Z for War Eagle Trading Company (WETCO). Create and evaluate forecasts as described in questions 1-10 below. Enter your answers in the table provided at the bottom of the assignment. All forecasts should be reported to the nearest whole number. Use the following in creating all forecasts: a7 W.6 n 3 W 3 Wa1 W 01 Demand for weeks 1-9 for each product is shown below....