In: Operations Management
ABC Company a Northwest manufacturer makes woman’s shoes, for
which demand is highly seasonal. The company has experienced
difficulty in making accurate forecasts. The following table gives
the quantity of hose sold by quarters in the last three years.
Demand Quarter 1998 1999 2000 I 540 590 649 II 70 72 82 III 110 126
130 IV 443 460 510
Decompose the data series into trend and seasonal factors and make
forecasts for each quarter in 2001
Use the seasonal average method to conduct the decomposition as follows:
Result:
Year | Qtr | Period | Demand | Seasonal average | Seasoanal index | Deseasonalized demand | Trend | Adjusted forecast |
1998 | I | 1 | 540 | 593.0 | 1.882 | 287.00 | 283.62 | 533.6 |
II | 2 | 70 | 74.7 | 0.237 | 295.47 | 289.35 | 68.6 | |
III | 3 | 110 | 122.0 | 0.387 | 284.17 | 295.09 | 114.2 | |
IV | 4 | 443 | 471.0 | 1.494 | 296.43 | 300.83 | 449.6 | |
1999 | I | 5 | 590 | 1.882 | 313.57 | 306.56 | 576.8 | |
II | 6 | 72 | 315.2 | 0.237 | 303.91 | 312.30 | 74.0 | |
III | 7 | 126 | 0.387 | 325.50 | 318.03 | 123.1 | ||
IV | 8 | 460 | 1.494 | 307.81 | 323.77 | 483.9 | ||
2000 | I | 9 | 649 | 1.882 | 344.93 | 329.51 | 620.0 | |
II | 10 | 82 | 0.237 | 346.12 | 335.24 | 79.4 | ||
III | 11 | 130 | 0.387 | 335.83 | 340.98 | 132.0 | ||
IV | 12 | 510 | 1.494 | 341.26 | 346.72 | 518.2 | ||
2001 | I | 13 | 1.882 | 352.45 | 663.2 | |||
II | 14 | 0.237 | 358.19 | 84.9 | ||||
III | 15 | 0.387 | 363.93 | 140.9 | ||||
IV | 16 | 1.494 | 369.66 | 552.4 |