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Case studies are used to enable you to apply new concepts, use the tools you have mastered, and improve your technical skills you have attained.

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Description

Case studies are used to enable you to apply new concepts, use the tools you have mastered, and improve your technical skills you have attained. Through the individual case studies, you will discover for yourself the usefulness of quantitative problem-solving methods, how to apply them in practice, and their benefit to organizational decision-makers.

In this case study, you will act as a consultant for a company that crushes Olives to produce high quality refined Olive oil for sale in the wholesale market. The company is looking for you to make a recommendation on the optimal blend of raw materials required for its next production cycle. You will use decision analysis tools including time series forecasting, linear programming, and cost-profit-volume analysis to make the recommendation and provide analysis on the profitability of the company.

You will be required to submit a written report to management, and to include the spreadsheet models you used to generate price forecasts, optimize the raw material, and a perform the break-even analysis. All analysis should be done using Excel and the various models should be implemented on separate worksheets or in separate workbooks.

Scenario

Double Olive Oil. Ltd. is a producer of high-quality Olive oil. The company buys raw Olives directly from large agricultural companies and refines them into Olive oil that it sells in the wholesale market. 

The company has a maximum input capacity of 180 short tons of raw Olives every day. The company cannot run at full capacity every day as it is required to shut down or reduce capacity for maintenance periods every year, and it experiences the occasional mechanical problem. The facility is expected to run at 90% capacity over the year (or on average 180 x 90% = 162 short tons per day).

Double Olive Oil is planning to purchase its supply of raw Olives from three primary growers, Supplier A, Supplier B, and Supplier C. Purchase prices will not set until the orders are placed so Double Olive Oil will have to forecast purchase prices for the raw material and sales prices for the refined Olive oil. The contract is written such that Double Olive Oil is only required to commit to 80% of total capacity up front. Any amounts over that can be purchased only as required for the same price. Historical prices for the last 15 years are in the table below (note that year 15 is the most current year).

 

 

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