In: Accounting
Optimizing Performance: Finally, you will determine an optimal solution that will maximize the organization’s objectives. You will need to consider the level of sensitivity and uncertainty of alternative solutions in supporting your optimal solution. The analyses need to be submitted in an annotated excel file and include a rationale. A. Determine the values of the constraints to be used to generate the target number when running Solver. [QSO-320-03] B. Using Solver, calculate the level of sensitivity of decision variables and describe the significance of the report. [QSO-320-03] C. Using Solver, calculate the limits of decision variables and describe the significance of the report. [QSO-320-03] 3 D. Discuss solutions that will maximize profits for the organization based on the Solver analysis. [QSO-320-03
based on this data:
For the Lodi Winery, you have been asked by management to examine the data collected and analyzed in the previous modules. The objective is for you to help management decide on the right mix of wine bottles to sell based on newly derived profit information while considering the limitations of the particular types of grapes available for production.While doing more research on wine production, you realize that it takes 3.5 pounds of grapes to make a bottle of wine. In addition, you already were provided the price per bottle that the distributors are paying for each variety of wine:
Price for Red Wine ($) | Price for White Wine ($) | Price for Organic Wine ($) |
7.5 | 8 | 12 |
After discussing wine production with the operations manager, you also learn that the wineries that supply the grapes to produce the above types of wine can produce up to a total of 200,000 pounds of grapes for a six-month supply of wine bottles for the three markets, with the following expected distribution constraints based on types of grapes. Note that current market demand will not support more than the below constraints for each type:
Red wine ceiling | 22,000 bottles |
White wine ceiling | 24,000 bottles |
Organic wine ceiling | 12,000 bottles |
Note that the production cost per bottle remains the same as before, that is, 32% of sales or revenue for red wine, 42.5% of sales for white wine, and 52.5% for organic wine. With additional information you have gathered, you are now ready to determine the optimum production mix to maximize profit.
A. Determine the values of the constraints to be used to generate the target number when running Solver. [QSO-320-03] | ||||||
Particulars | Red Wine | White Wine | Organic Wine | Total | ||
Maximum Market Demand | 22000 | 24000 | 12000 | |||
How may pounds of Grapes required per Bottle of wine | 3.5 | 3.5 | 3.5 | |||
Total Grapes Required in Pounds | 77000 | 84000 | 42000 | 203000 | ||
Total GRAPES Available during the six months period | 200000 | |||||
Quantity of Constraints Grpes in pounds | 3000 | |||||
B. Using Solver, calculate the level of sensitivity of decision variables and describe the significance of the report. [QSO-320-03] | ||||||
Particulars | Red Wine | White Wine | Organic Wine | Total | ||
Quantity of Constraints | 3000 | |||||
How may pounds of Grapes required per Bottle of wine | 3.5 | |||||
Maximum production lost on the basis of Bottles | 857.1429 | |||||
Maximum production lost on the basis of Bottles (Round off) | 858 | |||||
Note:- All category of wines required 3.5 pounds of Grapes. So quanity will remain same | ||||||
C. Using Solver, calculate the limits of decision variables and describe the significance of the report. [QSO-320-03] | ||||||
Particulars | Red Wine | White Wine | Organic Wine | Total | ||
Maximum Market Demand | 22000 | 24000 | 12000 | |||
How may pounds of Grapes required per Bottle of wine | 3.5 | 3.5 | 3.5 | |||
Total Grapes Required in Pounds | 77000 | 84000 | 42000 | 203000 | ||
Total GRAPES Available during the six months period | 200000 | |||||
Quantity of Constraints Grpes in pounds | 3000 | |||||
How may pounds of Grapes required per Bottle of wine | 3.5 | |||||
Maximum production lost on the basis of Bottles | 857.1429 | |||||
Maximum production lost on the basis of Bottles (Round off) | 858 | |||||
Contribution per Bottle | 5.1 | 4.6 | 5.7 | |||
Maximum Contribution | 112200 | 110400 | 68400 | |||
Maximum Contribution loss per bottle | 4375.8 | 3946.8 | 4890.6 | |||
D. Discuss solutions that will maximize profits for the organization based on the Solver analysis. [QSO-320-03 | ||||||
Particulars | Red Wine | White Wine | Organic Wine | Total | ||
Maximum Market Demand | 22000 | 24000 | 12000 | |||
Sales Price per Bottle of Wines ($0 | 7.5 | 8 | 12 | |||
Production Cost per Bottle of Wine in % | 32 | 42.5 | 52.5 | |||
Total Production Cost per Bottle | 2.4 | 3.4 | 6.3 | |||
Contribution per Bottle | 5.1 | 4.6 | 5.7 | |||
Rank on the basis of Contribution per Bottle | 2 | 3 | 1 | |||
Total GRAPES Available during the six months period | 200000 | |||||
Total Grapes allotted to Organic Wine | 42000 | |||||
Balance Available | 158000 | |||||
Total Grapes allotted to Red Wine | 77000 | |||||
Balance Available for production of White Wine | 81000 | |||||
Number of Maximum production of White White Wine possible | 23142.86 | |||||
Number of Maximum production of White White Wine possible (Round off) | 23142 | |||||
Maximum Sales Possible | 22000 |
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