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A company produce two types of products .The total profit achieved from these products is described by the following equation. The total profit= (0.3 a)2-(0.5b)2+8a+12b+1500 where A = thousand of units of production B=thousand of units Every 1,000 units of a requires one hour of units in the shipping department and every 1,000 units B requires 30 minutes of labor in the shipping department .Each unit of product requires two pounds of special ingredient of which 64,000 pounds are available. Additional 80 hours of shipping labor are available .Demand for A and B unlimited. Formulate an NLP model for this problem. implement your model in a spread sheet and solve it optimal solution
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Ethics Line is a toll-free phone number that employees can call any time of the day, any day of the week to discuss ethics and report suspected unethical or improper conduct. Explain why would E-presto establish the Ethics Line?
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Illustrate what are the differences in risk tolerance around the world? Explain how does risk propensity affect decision-making? Explain how do objective versus subjective perspectives influence decision-making?
Find the strategy that maximizes the manufacturers expected net earnings. Compute the EVSI and EVPI for this decision problem
How many units should be shipped from each manufacturing facility to each of the retail stores if cost is to be minimized?
Show all work by describing variables, stating assumptions, illustrating model and showing output solution to the problem.
Interest is paid annually, the bonds have a $1,000 par value and the coupon interest rate is 10%. The bonds sell at a price of $850. Illustrate what is their yield to maturity?
Explain about Decision analysis problem
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Illustrate what were the limitations of Goizueta's strategy that persuaded his successor, Daft, to shift away from it? Illustrate what was Daft trying to achieve? Daft's strategy also did not produce the desired results. Explain why you think this..
Develop a scatter diagram with weight as the dependent variable and develop the estimated regression equation that could be used to predict the price given the weight.
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