Flextrola, Inc., an electronics systems Integrator, is planning to design a key component for its next generation product with Solectrics. Flextrola will integrate the component with some software and then sell it to consumers. Given the short life cycles of such products and the long lead times quoted by Solectrics, Flextrola only has one opportunity to place an order with Solectrics prior to the beginning of its selling season Flextrola's demand during the season is normally distributed with a mean of 1.200 and a standard deviation of 600, Use Table 13.4. Figure 1315.Jng. Eigure 1316.jpg Solectrics' production cost for the component is $51 per unit, and it plans to sell the component for $73 per unit to Flextrola. Flextrola Incurs essentially no cost associated with the software Integration and handling of each unit. Flextrola sells these units to consumers for $122 each. Flextrola can sell unsold inventory at the end of the season in a secondary electronics market for $48 each. The existing contract specifies that once Flextrola places the order, no changes are allowed to it. Also, Solectrics does not accept any returns of unsold inventory, so Flextrola must dispose of excess inventory in the secondary market If a part of the question specifies whether to use Table 134, or to use Excel, then credit for a correct answer will depend on using the specified method d. If Flextrola orders 1100 units, how many units of inventory can Flextrola's expect to sell in the secondary electronics market? Use Table 13.4. (Round your answer to 2 decimal places.) e. If Flextrola orders 1100 units, what are expected sales? (Round your answer to 2 decimal places.) f. If Flextrola orders 1100 units, what is expected profit? (Round your answer to 2 decimal places.) Distribution Function 1.00 .90 Log normal distribution .80 70 .60 Probability .50 .40 Normal distribution 30+ 20+ .10 .00 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 Demand Figure 13.15 The density functions for a log normal and a normal distribution with mean 1000 and standard deviation 600 Density Function .0012 .0011 .0010 Log normal distribution Probability .0009 .0008 .0007 + 0006 .0005 Normal distribution .0004 .0003 0002 .0001 .0000 + 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 Demand TABLE 13.4 The Distribution, FQ), and Expected Inventory. Io). Functions for the Standard Normal Distribution Function Fiz) (W -4.0 0000 0000 -3.9 0000 0000 -38 0001 0000 -37 0001 0000 -36 2000 0000 -3.5 0002 0001 -3.4 0003 0001 0005 0001 -32 0007 0002 -31 0010 0003 -30 0013 0004 -29 0019 0005 --28 0026 DOOR -27 0035 0011 -26 0047 0015 -2.5 2900 0020 -24 OOH 0027 -23 0107 0037 -2.2 0139 0049 -2.1 0179 0065 -20 022 0085 -2.0 0228 0085 -1.9 0287 0111 -1.8 0359 0143 -17 .0446 0183 -16 0548 0232 -15 40668 0293 -14 .0808 20367 -13 0968 .0455 -12 1151 .0561 -11 1357 .0686 -1.0 1587 0833 -0.9 1841 1004 -0.8 2119 1202 -0.7 2420 1429 -0.6 2743 1687 -0.5 3085 1978 -0.4 3446 2304 -0.3 3821 2668 -02 4207 3069 -0.1 4602 3509 0 5000 3989 .1 5398 4509 2 5793 5069 2 5793 5069 3 6179 5668 4 6554 DOES 5 $169 6978 .6 17257 7687 7 7580 8429 7881 9202 6 8159 1.0004 1.0 8413 1.0833 11 8643 11686 12 8849 12561 13 9032 13455 14 2616 14367 15 9332 1.5293 16 9452 16232 12 9554 17183 18 9641 1.8143 19 9713 19111 02 9772 20085 21 9821 21065 2.2 1986 2 2049 23 9893 22037 2.4 9918 2.4027 24 .9918 2.4027 2.5 .9938 2.5020 26 9953 2.6015 2.7 9965 2.7011 2.8 9974 2.8008 2.9 9981 2.9005 3.0 9987 3.0004 31 9990 3.1003 .9993 3.2002 3.2 3,3001 33 -9995 3.4 3.4001 9997 3.5 3.5001 .9998 9998 3.6000 3,6 3.7000 3.7 9999 9999 3.8000 3.8 10000 3.9000 3.9 1.0000 4.0 4 CONTO