# The coefficients in front of each term (i.e., 0.2, 1.1, 12 and 2.5) convert the terms into US dollars.Find the values of a and b that maximize C.

Module 4
1.You have been asked to perform an analysis to assist in deciding how much of two products toproduce to maximize the profit. The total profit associated with producing a units of product aand b units product b is given as a single function that is given below:ππ(ππ,ππ)=0.2ππ2β1.1ππ+12βππβ2.5ππwhere Pis the total profit (\$) a is the amount of product a to produce (tons) b is the amount of product b to produce (tons)
The coefficients in front of each term (i.e., 0.2, 1.1, 12 and 2.5) convert the terms into US dollars.Find the values of a and b that maximize C. Note: You might not have done this in calculus, but it is not hard because it extends what you learned for one variable.
i) Recall, to find the maximum or minimum of a function, you take the derivative, set it equal to zero, and solve for the independent variable. So if this problem had been P(a) and not P(a,b),you would have taken the derivative of P with respect to a (ππππππππ), set this to zero, and solved for a.
ii)To extend this to two variables, here a and b, take the derivate of P with respect to aassuming bis constant and set it equal to zero. This is just like i) because you are assuming bisa constant.
iii)Then, take the derivate of C with respect to bassuming a is constant and set it equal to zero.This is just like i) because you are assuming ais a constant.
iv) Now, you have two equations β one from ii) and one from iii). Use algebra to solve them andyou have the optimal values.[For completeness, with one variable it was necessary to take the second derivate to see if thepoint you found was a maximum, minimum, or inflection point. This part of the two variableproblem is complicated so you will need to believe me that the point you found yields maximumprofit.]2.A ΒΌ inch titanium bolt is being consumed in a factory at a fairly steady rate of 60 per week.The bolts cost \$0.50 each and it costs the plant \$12 to place an order with the supplier. Plantmanagement has no idea of the real cost to hold inventory, so they are estimating the holdingcost as the product of the annual interest rate multiplied by the cost of the item. Currently, theCFO requires all calculations to use an interest rate of 25%/year.a) What is the order quantity that minimizes the sum of the cost of ordering plus the cost ofholding inventory. Assume holding costs are based on average inventory over a cycle and thecost per unit per unit time is the interest rate * cost of the part. Also, assume instantaneousreplenishment.b) If you order the quantity you computed in part a), what is the time between placing orders.
c)If you order the quantity computed in part a), what is the total yearly holding cost? What isthe total annual ordering cost?3.A company that orders parts from a supplier wants to use the EOQ as a basis for determininghow many to order; however, the some of the assumptions, particularly constant demand hasmanagement concerned.To provide some quantitative insight, you are asked to build a spreadsheet that will help them understand how robust (or not) the model is to changes order quantity. The model parameters are K=\$100/order, h=\$0.02/unit/month, and D=2000units/month; hence, Q*=4472. Here are the requirements on your spreadsheet: β’Column A is the quantity orderedβ’Column B is the annual cost to place orders given the order quantity in column Aβ’Column C is the annual holding cost given the order quantity in column Aβ’Column D is the total cost (ordering plus holding)a) Let the order quantity vary from 1500 to 7500 in increments of 100 (Column A) and have thespreadsheet calculate the remaining columns (B through D). Create a plot with the orderquantity as the independent variable (x-axis) and the three costs (ordering, holding, total) in theother three columns as the dependent variables (y-axis).b) Suppose you decide to order 50% more than Q* (i.e., 4472+0.5*4472=6708). How muchdoes this increase the total cost on a % basis? Based on this one data point, would you say theEOQ is robust to order quantity or not? Why?c) Now add Columns E and F to the spreadsheet. In E, compute how much the order quantity inColumn A differs from Q* as a % β¦[(Order quantity β 4472)/4472] * 100. In F, compute howmuch the annual cost associated with ordering the quantity in Column A differs from theminimum annual cost. To keep this positive, compute this by {[max(total cost withQ from column A, total cost with Q=4472) β min(total cost with Q from column A, total costwith Q=4472) /4472]} * 100. Now plot these two with the difference in total cost (Column F)on the y-axis vs. difference in order quantity (Column E) on the x-axis.d)If you were showing these plots to management, would you argue that the EOQ is robust ornot? That is, would Q* be a good place to start negotiating an order quantity with the supplier?