Forecasting
Moving Averages Template
| Moving Average | ||||
| Periods of Moving Average = | 3 | |||
| MAD = | 3174.3333333333 | |||
| MAPE = | 0.2736966144 | |||
| Period | Actual | Forecast | Error | Tracking Signal |
| 1 | 15908 | |||
| 2 | 15504 | |||
| 3 | 14272 | |||
| 4 | 13174 | 15228 | -2054 | -1 |
| 5 | 10022 | 14316.6666666667 | -4294.6666666667 | -2 |
| 6 | 12489.3333333333 | |||
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Periods
2.1 Answers
| EX2.1 | ||||
| Months | Visits | Naïve | 3-MA | 4-MA |
| July | 2160 | |||
| August | 2186 | |||
| September | 2246 | |||
| October | 2251 | |||
| November | 2243 | |||
| December | 2162 | |||
| January | ||||
| Answers | ||||
| a. | January forecast | |||
| b. | January forecast using 3-MA | |||
| c. | January forecast using 4-MA | |||
| In 1-2 sentences, explain which you explain which of the three results you have the most confidence in projecting accurately and why that is. | ||||
| d. | ||||
Single Channel Template
| Single Channel, Poisson Arrival, and Exponential Service Time (M/M/1) | ||
| Arrival rate | λ | 4 |
| Service rate | μ | 5 |
| Average Number of customers waiting for service | Lq | ERROR:#NAME? |
| Average Number of customers in the system (waiting or being served) | L | ERROR:#NAME? |
| Average time customers wait in line | Wq | ERROR:#NAME? |
| Average time customers spend in the system | W | ERROR:#NAME? |
| System utilization | ρ | 0.8000 |
| Service time | 1/μ | 0.2000 |
| Probability of zero units in system | P0 | ERROR:#NAME? |
| n | 3 | |
| Probability of 3 units in system | P3 | ERROR:#NAME? |
System Utilization 0.8
Wg 0 W 0
14.1 Answers
| EX14.1 | Answers | |
| A. | System Utilization | |
| B. | Average Number in Line | |
| C. | Average Time in Line | |
| D. | Average Time in the System | |