Compute the MSE, the MAD, the MAPE, and the RSFE and the tracking signal for each forecasting method
Ms. Winnie Lin’s company sells computers. Monthly sales for a six-month period are as follows:
Month Sales
Jan 18,000
Feb 22,000
Mar 16,000
Apr 18,000
May 20,000
Jun 24,000
- Plot the monthly data on a sheet of graph paper or plot on excel
- Compute the sales forecast for July using the following approaches: (1) a four-month moving average; (2) a weighted three-month moving average using .50 for June, .30 for May and .20 for April; (3) a linear trend equation (4) exponential smoothing with a (smoothing constant) equal to .40, assuming a February forecast of 18,000
- Which method is the least appropriate? Why?
- The forecasts generated by two forecasting methods and actual sales are as follows:
Month Sales Forecast 1 Forecast 2
1 269 275 268
2 289 266 287
3 294 290 292
4 278 284 298
5 268 270 274
6 269 268 270
7 260 261 259
8 275 271 275
Compute the MSE, the MAD, the MAPE, and the RSFE and the tracking signal for each forecasting method. Which method is better? Why?
- Given the following production plan, use a (a) chase production strategy and (b) level production strategy to compute the monthly production, ending inventory/(backlog) and workforce levels. A worker can produce 50 units per month. Assume that the beginning inventory in January is 500 units, and the firm desires to have 200 of the inventory at the end of June.
Month Jan Feb Mar Apr May Jun
Demand 2000 3000 5000 6000 6000 2000
Production
Ending Inventory
Workforce
- Given the following production schedule, compute the available-to-promise quantities.
Week 1 2 3 4 5 6 7 8
Model B
MPS BI=20 20 0 20 20 0 20 20 20
Committed customer orders10 10 10 10 10 0 0 10
ATP:D