CH%203_P2

CH%203_P2 - 95000 90000 115000 200000 20 35 397 160000...

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Chap. 3 P2 Page 1 Chapter 3 problem 2 Order Quantity 25 Prob Sales Price 15000 20 0.3 Initial Order Cost 10000 25 0.15 Later Order Cost 12000 30 0.15 Salvage Value 9000 35 0.2 RN for Demand 0.99 40 0.2 Demand 40 Fullprice Sales revenue 600000 Disposal Sales revenue 0 Initial Order Cost 250000 Reorder Cost 180000 Profit 170000 170000 20 25 30 35 40 OQ Demand 1 100000 125000 120000 175000 170000 20 40 2 100000 95000 120000 190000 140000 20 30 3 145000 155000 120000 145000 170000 20 40 4 100000 95000 90000 115000 170000 20 35 5 100000 170000 150000 190000 200000 20 20 385 100000 95000 165000 85000 140000 20 20 386 145000 95000 165000 190000 110000 20 40 387 145000 155000 90000 115000 170000 20 30 388 115000 170000 90000 145000 110000 20 30 389 130000 125000 165000 85000 110000 20 25 390 100000 140000 120000 85000 110000 20 35 391 100000 170000 165000 145000 80000 20 35 392 160000 155000 90000 145000 80000 20 25 393 115000 170000 90000 190000 140000 20 25 394 100000 140000 180000 145000 200000 20 35 395 100000 155000 150000 85000 80000 20 20 396 160000
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Unformatted text preview: 95000 90000 115000 200000 20 35 397 160000 155000 150000 85000 80000 20 20 398 100000 155000 90000 85000 140000 20 20 399 145000 95000 165000 115000 140000 20 20 400 130000 95000 120000 115000 80000 MEAN 126812.5 134337.5 135037.5 135137.5 133850 STD DEV 23662.78 28732.6 34956.99 41959.15 45086.13 CONFIDENCE INTERVAL FROM TO 1.97 131013.07 139261.93 It appears ordering 35 cars maximizes expected profit. However, ordering 30 cars yields almost the same expected profit with less variance, so it might be a better order quantity A B C D E F G H I J 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426...
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