Ejemplo Descompo L5 aditiva.pdf

6
pendiente: Paso 1 Paso 2 Paso 4 Paso 5 Paso 7 Día DíaSemana Pedidos PMS (n=5) I prelim It St St^ 1 Lu 3915 909.60000 3005.40000 3012.72846 2 Ma 3320 299.05000 3020.95000 3014.69942 3 Mi 2411 3019 -608.0 -608.20000 3019.20000 3016.67038 4 Ju 2118 3020.8 -902.8 -908.10000 3026.10000 3018.64135 5 Vi 3331 3020.6 310.4 308.75000 3022.25000 3020.61231 6 Lu 3924 3023 901.0 909.60000 3014.40000 3022.58327 7 Ma 3319 3023.4 295.6 299.05000 3019.95000 3024.55423 8 Mi 2423 3025.2 -602.2 -608.20000 3031.20000 3026.52519 9 Ju 2120 3028.8 -908.8 -908.10000 3028.10000 3028.49615 10 Vi 3340 3030.8 309.2 308.75000 3031.25000 3030.46712 11 Lu 3942 3031.2 910.8 909.60000 3032.40000 3032.43808 12 Ma 3329 3032.8 296.2 299.05000 3029.95000 3034.40904 13 Mi 2425 3035.4 -610.4 -608.20000 3033.20000 3036.38000 14 Ju 2128 3036.2 -908.2 -908.10000 3036.10000 3038.35096 15 Vi 3353 3040.8 312.2 308.75000 3044.25000 3040.32192 16 Lu 3946 3042.6 903.4 909.60000 3036.40000 3042.29288 17 Ma 3352 3044.8 307.2 299.05000 3052.95000 3044.26385 18 Mi 2434 3045.2 -611.2 -608.20000 3042.20000 3046.23481 19 Ju 2139 3051.6 -912.6 -908.10000 3047.10000 3048.20577 20 Vi 3355 3051.8 303.2 308.75000 3046.25000 3050.17673 21 Lu 3978 3054.8 923.2 909.60000 3068.40000 3052.14769 22 Ma 3353 3055.8 297.2 299.05000 3053.95000 3054.11865 23 Mi 2449 3058.2 -609.2 -608.20000 3057.20000 3056.08962 24 Ju 2144 -908.10000 3052.10000 3058.06058 25 Vi 3367 308.75000 3058.25000 3060.03154 26 909.60000 3062.00250 27 299.05000 3063.97346 28 -608.20000 3065.94442 29 -908.10000 3067.91538 30 308.75000 3069.88635 Paso 3. Día Índice Estac. Resul Pedidos

Transcript of Ejemplo Descompo L5 aditiva.pdf

pendiente:Paso 1 Paso 2 Paso 4 Paso 5 Paso 7

Día DíaSemana Pedidos PMS (n=5) I prelim It St St^1 Lu 3915 909.60000 3005.40000 3012.728462 Ma 3320 299.05000 3020.95000 3014.699423 Mi 2411 3019 -608.0 -608.20000 3019.20000 3016.670384 Ju 2118 3020.8 -902.8 -908.10000 3026.10000 3018.641355 Vi 3331 3020.6 310.4 308.75000 3022.25000 3020.612316 Lu 3924 3023 901.0 909.60000 3014.40000 3022.583277 Ma 3319 3023.4 295.6 299.05000 3019.95000 3024.554238 Mi 2423 3025.2 -602.2 -608.20000 3031.20000 3026.525199 Ju 2120 3028.8 -908.8 -908.10000 3028.10000 3028.49615

10 Vi 3340 3030.8 309.2 308.75000 3031.25000 3030.4671211 Lu 3942 3031.2 910.8 909.60000 3032.40000 3032.4380812 Ma 3329 3032.8 296.2 299.05000 3029.95000 3034.4090413 Mi 2425 3035.4 -610.4 -608.20000 3033.20000 3036.3800014 Ju 2128 3036.2 -908.2 -908.10000 3036.10000 3038.3509615 Vi 3353 3040.8 312.2 308.75000 3044.25000 3040.3219216 Lu 3946 3042.6 903.4 909.60000 3036.40000 3042.2928817 Ma 3352 3044.8 307.2 299.05000 3052.95000 3044.2638518 Mi 2434 3045.2 -611.2 -608.20000 3042.20000 3046.2348119 Ju 2139 3051.6 -912.6 -908.10000 3047.10000 3048.2057720 Vi 3355 3051.8 303.2 308.75000 3046.25000 3050.1767321 Lu 3978 3054.8 923.2 909.60000 3068.40000 3052.1476922 Ma 3353 3055.8 297.2 299.05000 3053.95000 3054.1186523 Mi 2449 3058.2 -609.2 -608.20000 3057.20000 3056.0896224 Ju 2144 -908.10000 3052.10000 3058.0605825 Vi 3367 308.75000 3058.25000 3060.0315426 909.60000 3062.0025027 299.05000 3063.9734628 -608.20000 3065.9444229 -908.10000 3067.9153830 308.75000 3069.88635

Paso 3.Día Índice Estac.

Resultados de la regresión S^

Pedidos

Paso 0. Ver la gráfica y determinar L -->1 2 3 4 5 6 7 8 9 10 11 12 13 14

0500

1000

1 2 3 4 5 6 7 8 92000.00000

2200.00000

2400.00000

2600.00000

2800.00000

3000.00000

3200.00000

Paso 6

1.9709615 intercepto: 3010.7575Paso 8

Ft error RSE abs error MAD TS LI LS3922.32846 -7.32846 -7.32846 7.32846 7.32846 -1.00000 -3.75 3.753313.74942 6.25058 -1.07788 6.25058 6.78952 -0.15876 -3.75 3.752408.47038 2.52962 1.45173 2.52962 5.36955 0.27036 -3.75 3.752110.54135 7.45865 8.91038 7.45865 5.89183 1.51233 -3.75 3.753329.36231 1.63769 10.54808 1.63769 5.04100 2.09246 -3.75 3.753932.18327 -8.18327 2.36481 8.18327 5.56471 0.42497 -3.75 3.753323.60423 -4.60423 -2.23942 4.60423 5.42750 -0.41261 -3.75 3.752418.32519 4.67481 2.43538 4.67481 5.33341 0.45663 -3.75 3.752120.39615 -0.39615 2.03923 0.39615 4.78483 0.42619 -3.75 3.753339.21712 0.78288 2.82212 0.78288 4.38463 0.64364 -3.75 3.753942.03808 -0.03808 2.78404 0.03808 3.98949 0.69784 -3.75 3.753333.45904 -4.45904 -1.67500 4.45904 4.02862 -0.41577 -3.75 3.752428.18000 -3.18000 -4.85500 3.18000 3.96334 -1.22498 -3.75 3.752130.25096 -2.25096 -7.10596 2.25096 3.84103 -1.85001 -3.75 3.753349.07192 3.92808 -3.17788 3.92808 3.84683 -0.82610 -3.75 3.753951.89288 -5.89288 -9.07077 5.89288 3.97471 -2.28212 -3.75 3.753343.31385 8.68615 -0.38462 8.68615 4.25186 -0.09046 -3.75 3.752438.03481 -4.03481 -4.41942 4.03481 4.23980 -1.04237 -3.75 3.752140.10577 -1.10577 -5.52519 1.10577 4.07485 -1.35593 -3.75 3.753358.92673 -3.92673 -9.45192 3.92673 4.06744 -2.32380 -3.75 3.753961.74769 16.25231 6.80038 16.25231 4.64767 1.46318 -3.75 3.753353.16865 -0.16865 6.63173 0.16865 4.44408 1.49226 -3.75 3.752447.88962 1.11038 7.74212 1.11038 4.29914 1.80085 -3.75 3.752149.96058 -5.96058 1.78154 5.96058 4.36837 0.40783 -3.75 3.753368.78154 -1.78154 0.00000 1.78154 4.26489 0.00000 -3.75 3.753971.602503363.023462457.744422159.815383378.63635

Resultados de la regresión S^t = a + b t

4000

4500

Pronósticos

Pedidos

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 220

500

1000

1500

Pedidos Ft

14 15 16 17 18 19 20 21 22 23 24 25

9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

St

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

-5.00000-4.00000-3.00000-2.00000-1.000000.000001.000002.000003.000004.000005.00000

Tracking Signal

TS LI LS

22 23 24 25 26 27 28 29 30