Question: Use this table as a reference. PA 13-3 Montanso sells genetically modified seed to farmers. It... Use Table 13.4 Montanso sells genetically modified seed to

Use this table as a reference. PA 13-3 Montanso

Use this table as a reference.

Use this table as a reference. PA 13-3 Montanso

PA 13-3 Montanso sells genetically modified seed to farmers. It... Use Table 13.4 Montanso sells genetically modified seed to farmers. It needs to decide how much seed to put into a warehouse to serve demand for the next growing season. It will make one quantity decision. It costs Montanso $6 to make each kilogram (kg) of seed. It sells each kg for $45. If Montanso has more seed than demanded by the local farmers, the remaining seed is sent overseas. Unfortunately, only $2 per kg is earned from the overseas market (but this is better than destroying the seed because it cannot be stored until next year). If demand exceeds its quantity, then the sales are lost - the farmers go to another supplier. As a forecast for demand, Montanso will use a normal distribution with a mean of 325000 and a standard deviation of 150000. If a part of the question specifies whether to use Table 13.4, or to use Excel, then credit for a correct answer will depend on using the specified method. How many kilograms should Montanso place in the warehouse before the growing season? Use Table 13.4 and round-up rule. If Montanso put 400000 kgs in the warehouse, what is its expected b. revenue (include both domestic revenue and overseas revenue)? Use Table 13.4 and round-up rule. How many kilograms should Montanso place in the warehouse to c. minimize inventory while ensuring that the stockout probability is no greater than 5%? Use Table 13.4 and round-up rule. d. What is maximum profit for this seed? TABLE 13.4 The Distribution, FQ), and Expected Inventory, 10), Functions for the Standard Normal Distribution Function Z Hz) .0455 0561 1.4 1.4367 Fiz) .0968 1151 1357 1587 9192 9332 -3.9 -1.2 1.5293 -3.8 0686 9452 1.6232 -1.0 .0833 1.7183 -3.7 -3.6 Fizz 00000000 00000000 0001 0000 0001 0000 0002 .0000 0002 .0001 0003 0001 0005 .0001 .0007 .0002 1841 -1004 1.8143 1.9111 -0.9 -0.8 -0.7 -0.6 -0.5 .1202 .1429 2.0085 1687 -3.3 -3.2 9554 .9641 9713 9772 9821 9861 9893 9918 9938 9953 9965 2.1065 2.2049 .1978 -3.1 .0010 .0003 2304 2.3037 -3.0 -0.3 2668 2.4027 -02 3069 2.5020 -2.8 3509 2.6015 -2.7 3989 2.7011 -26 4509 9974 2.8008 -2.5 5069 9981 2.9005 2119 2420 2743 3085 3446 3821 4207 4602 5000 5398 .5793 .6179 .6554 .6915 .7257 7580 7881 8159 .8413 8643 8849 9032 5668 o 9987 3.0004 .6304 9990 3.1003 .0013 .0004 .0019 0005 .0026 .0008 0035 .0011 0047 0015 .0062 .0020 0082 .0027 0107 0037 0139 .0049 0179 .0065 0228 0085 0287 0111 03590 143 0446 0183 0548 0232 0668 0293 08080367 .6978 9993 -2.4 -2.3 -2.2 -2.1 -2.0 -1.9 -1.8 3.2002 3.3001 7687 8429 9995 9997 3.4001 9202 .9998 3.5001 wwwww 9998 3.6000 -1.7 1.0004 1.0833 1.1686 1.2561 1.3455 -1.6 -1.5 -1.4 9999 3.7000 99993.8000 1.0000 3.9000 1.0000 4.0000 1.2 3.9 .0 1. 3 4

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