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Use the historical price data set as input to a time series forecast model to generate forecasted prices for the average price of lies
Use the historical price data set as input to a time series forecast model to generate forecasted prices for the average price of lies and oil in the next production period Use standard..measures of error to dec.de betweel, a three per.od moving a.erage model or an exponential snoothing mode: (with 025) Formulate a linear program to minimize the .ost of raw Oi.ves use the average price of lives forecasted from the previous step to determine supp.ier prices. Perform a cost volume price analysis (review the handout entitled Lust volume-rior:t Analyls for details) using the average cost per short ton average selling price per short tol ' Yo, can generate ai, eflective cost per snort ton by dividing the total cost of supply (from the linear program) by the total volume (that you assumed in the linear program). You can generate an effective selling price per short ton from the expected percentage yields and the forecasted average price of Ulive oil. Because of the way that the contract is written you can assume that tile purchase o, raw lives is a variable cost (you only purchase what you require). Recall that the cost-volume-price analysis requires you to provide an algebraic statement of the revenue function and the cost function and a break-even analysis or chart determining the creak-even point
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