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Ass06_due030908_sol_

# Ass06_due030908_sol_ - 2.9(1 point 5 days per week = 40...

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2.9 3000 units/week 3000 0.95 Eff 0.95 0.95 Rel 0.9 0.98 Yield 0.95 3 min/unit 5 40 hours/week 40 4.24 7.69 12 2.16 Order 20 Cost \$550 Finishing \$125 Recycle \$75 Price \$1,250 Min Good 15 Max p Number of castings scheduled 15 16 17 18 19 20 21 22 23 24 25 26 5 0.05 6 0.05 0.05 7 0.05 0.05 0.05 8 0.05 0.05 0.05 0.05 9 0.05 0.05 0.05 0.05 0.05 10 0.05 0.05 0.05 0.05 0.05 0.05 11 0.1 0.05 0.05 0.05 0.05 0.05 0.05 12 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05 13 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05 14 0.15 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05 15 0.2 0.15 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05 16 0.2 0.15 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 0.05 17 0.2 0.15 0.15 0.1 0.1 0.05 0.05 0.05 0.05 0.05 18 0.2 0.15 0.15 0.1 0.1 0.05 0.05 0.05 0.05 19 0.2 0.15 0.15 0.1 0.1 0.05 0.05 0.05 20 0.2 0.15 0.15 0.1 0.1 0.05 0.05 21 0.2 0.15 0.15 0.1 0.1 0.05 22 0.2 0.15 0.15 0.1 0.1 23 0.2 0.15 0.15 0.1 24 0.2 0.15 0.15 25 0.2 0.15 26 0.2 27 # of good castings 2.9 (1 point) 5 days per week = 40 hours F = (3min/unit/60min/hr)*3000units/(0.95*0.95*40hours*.98) = 1 2.15 and 2.16 (3 points) a. Make a tree diagram of the 3 potential conditions, as shown below b. Write one Excel equation to produce that tree c. Multiply the probability chart by the profit chart d. Select the highest expected income It is at 25 units. e. For 2.16, Repeat using the binomial equation given instead o the probability chart and the same Excel equations. The high now is at 23. As you lower the probability, the required quant goes up. 2.26 (1 point) 2.27 (1 point)

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28 29 30 1 1 1 1 1 1 1 1 1 1 1 1 2.16 p 0.88 15 16 17 18 19 20 21 22 23 24 25 26 15 0.15 0.28 0.29 0.21 0.12 0.06 0.02 0.01 0 0 0 0 16 0 0.13 0.26 0.28 0.22 0.13 0.07 0.03 0.01 0 0 0 17 0 0 0.11 0.25 0.28 0.22 0.14 0.07 0.03 0.01 0.01 0 18 0 0 0 0.1 0.23 0.27 0.23 0.15 0.08 0.04 0.02 0.01 19 0 0 0 0 0.09 0.21 0.27 0.23 0.16 0.09 0.05 0.02 20 0 0 0 0 0 0.08 0.2 0.26 0.24 0.17 0.1 0.05
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