Oracle
Search Site  
Find
 
Crystal Ball Home
Oracle Home
Information On
   Web & Live Events
   Six Sigma & DFSS
   Education Alliance
   Training Classes
   Conferences & Forums
   Available Languages
 
Quick Links
   Shop
   Download
   Newsletters
   Contact Us
 
 
Worldwide Offices
   United States
   United Kingdom
   Germany
 
 
 
 

DARDEN SCHOOL OF BUSINESS CASE STUDIES

The following case studies were constructed as exercises for Monte Carlo simulation. Most do not include spreadsheets or instructions specifically for Crystal Ball, but the terminology and teaching notes help to quickly adapt the case for Crystal Ball. "TN" denotes a teaching note file. Most cases cost less than $3 for a single copy.

One of the authors of many of these cases is Samuel E. Bodily, a member of our online Consultants' Corner (click here to read more about Dr. Bodily).

> Calambra Olive Oil
> Cyberlab: A New Business Opportunity for Prico
> Entel Privitization: Telephonica De Argentina Public Offering
> Genzyme/Geltex Pharmaceuticals Joint Venture
> John Denison (Private Investment Decision)
> On-line Auctions and Pricing Exercises
> Piedmont Airlines: Discount Seat Allocation
> Ponca City Cogeneration Plant
> Stars and Stripes: Quest to Bring Home America's Cup
> Three Simulation Problems You Can Use at Home


Calambra Olive Oil
By Dana R. Clyman and Phillip E. Pfeifer

Frank Lockfeld, president and founder of Calambra Olive Oil, must decide how many gallons of oil to buy for the 1994 vintage year even though the first-year marketing experiment for his fledgling business has barely begun. This case describes the history of the company and the current situation, including Lockfeld's assessments of landing Neiman Marcus and Williams-Sonoma catalog sales, of 1993 retail sales through specialty shops, and of 1994 retail sales, which are tied to the 1993 outcome. This case comes in five files, with B and C added as adaptations for Monte Carlo simulation.

Files:
UVA-QA-0440: CALAMBRA OLIVE OIL (A)
UVA-QA-0442: CALAMBRA OLIVE OIL (B)
UVA-S-QA-0442: CALAMBRA OLIVE OIL (B)
UVA-QA-0551: CALAMBRA OLIVE OIL (C)
UVA-QA-0440TN: CALAMBRA OLIVE OIL (A), (B), (C)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Cyberlab: A New Business Opportunity for Prico
By Larry Weatherford and Samuel E. Bodily

The president of a large and established manufacturer of laboratory equipment has to decide whether to invest a million dollars for 30% equity in a start-up company in the field of lab robotics. The agreement would also allow his company the right to market the product. He already has a spreadsheet that projects the best guess of the future scenario and calculates several measures of performance (ROS, ROE, ROI, NPV, and IRR). He must decide which of the criteria are most useful.

A relevant-cost issue that is introduced must be resolved, because it makes a big difference in the NPV. In the supplement, some background material is provided for a forecasting/judgmental assessment exercise based on this decision. The supplement could, assuming students have already been introduced to this topic, form the basis for a short workshop (an hour or less) on judgmental probability, or it could be used with a note on cumulative probability distributions for an introductory class on the topic.

Files:
UVA-QA-0382: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (A)
UVA-QA-0383: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (B)
UVA-QA-0384: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (SUPPLEMENT) UVA-QA-0382TN: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (A)
UVA-QA-0383TN: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (B)
UVA-QA-0384TN: CYBERLAB: A NEW BUSINESS OPPORTUNITY FOR PRICO (SUPPLEMENT)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Entel Privitization: Telephonica De Argentina Public Offering
By Samuel E. Bodily and Cathy Lloyd

A public offering to complete the privatization of the Argentine phone company is planned. The initial pro form analysis suggests a negative net present value for the offering. The task is to check the assumptions of the firstcut analysis and make more consistent assumptions about Argentine and US inflation about the business performance of the phone company. A risk analysis (using Monte Carlo simulation, for example) is needed to capture the full range of risks and rewards and determine what to bid for the company.

Files:

UVA-QA-0432: ENTEL PRIVATIZATION: TELEFONICA DE ARGENTINA PUBLIC OFFERING
UVA-QA-0432TN: ENTEL PRIVATIZATION: TELEFONICA DE ARGENTINA PUBLIC OFFERING (TN)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Genzyme/Geltex Pharmaceuticals Joint Venture
By Samuel E. Bodily, Robert F. Bruner, Pierre Jacquet

In March 1997, an executive vice president of Genzyme Corporation must develop the terms by which this $518-billion (revenues) firm will form a joint venture with a small biotechnology firm to make and market a new drug.

The tasks for the decision maker are to estimate the enterprise value of the new joint venture and to recommend how large an interest to acquire in the venture, what price to pay for that interest, and when. The case may be used to pursue some or all of the following objectives: (1) exercising analytical techniques, (2) introducing a framework for creating value and reducing risk, (3) exploring the impact on value of a hidden option (staged investing), and (4) visualizing risk and its implications.

Files:
UVA-F-1254: GENZYME/GELTEX PHARMACEUTICALS JOINT VENTURE
UVA-S-F-1254: GENZYME/GELTEX PHARMACEUTICALS JOINT VENTURE
UVA-F-1254TN: GENZYME/GELTEX PHARMACEUTICALS JOINT VENTURE (TN)
UVA-S-F-1254TN: GENZYME/GELTEX PHARMACEUTICALS JOINT VENTURE (TN)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


John Denison (Private Investment Decision)
By Michael O'Donnell and Samuel E. Bodily

A private investor (disguised) using a risk-analysis simulation program chooses whether to invest in a gas well or a real estate opportunity. The uncertainties vary considerably in kind and in time resolution.

Files:
UVA-QA-0199: JOHN DENISON
UVA-QA-0199TN: JOHN DENISON

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


On-line Auctions and Pricing Exercises
By Samuel E. Bodily

On-line auctions and name-your-price innovations are becoming increasingly popular. Using the probability distribution of buyers' willingness-to-pay, these exercises ask students to compare the potential revenue from traditional, posted, fixed-price auctions; name-your-price auctions; English, ascending, open-outcry auctions; and sealed-bid auctions. Students must determine an appropriate fixed price. A simulation model using Crystal Ball would be used to make the comparisons. Rules about when to use each sales mechanism and some characteristics of auctions are developed along the way.

Files:
UVA-QA-0552: ON-LINE AUCTIONS AND PRICING EXERCISES

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Piedmont Airlines: Discount Seat Allocation
By Phillip E. Pfeifer (A) and Samuel E. Bodily (B)

The manager of the Revenue Enhancement Department of an airline has to decide the optimal number of seats to reserve for discount customers on a particular flight. Historical data are given, as well as probability distributions of demand for both full and discount fares, in order to help make the decision. In this B case, the initial results from a Monte Carlo simulation seem to conflict with the critical-fractile result discussed earlier in the case. The manager must figure out why and then make a decision.

Files:
UVA-QA-0339: PIEDMONT AIRLINES: DISCOUNT SEAT ALLOCATION (A)
UVA-QA-0340: PIEDMONT AIRLINES: DISCOUNT SEAT ALLOCATION (B)
UVA-QA-0339TN: PIEDMONT AIRLINES: DISCOUNT-SEAT ALLOCATION (A) AND (B)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Ponca City Cogeneration Plant
By Samuel E. Bodily

An electric utility faces the hard choice between losing their third largest customer or building a cogeneration plant that is very risky to them and appears to take value away from the firm. Students first assess their strategic position and the magnitude of the risk, in the process improving the assumptions of the discounted cash flow spreadsheet model available to them. The task is then to be shrewd and creative in reducing and managing the risk of the project, which, after all, is manageable. The supplement provides information on the various factors that contribute to the risk of the project.

Files:
UVA-QA-0469: PONCA CITY COGENERATION PLANT
UVA-QA-0469TN: PONCA CITY COGENERATION PLANT
UVA-QA-0470: PONCA CITY COGENERATION PLANT SUPPLEMENT
UVA-QA-0470TN: PONCA CITY COGENERATION PLANT SUPPLEMENT

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Stars and Stripes: Quest to Bring Home America's Cup
By Dana R. Clyman and Drew Freides

Stars & Stripes analyzes the process of yacht design selection that led to the Stars & Stripes team taking the America's Cup back from Australia in 1987. Using this winning process the Stars & Stripes team is now in the critical development stage of designing its yacht for the upcoming America's Cup race in 2003 and must choose its yacht design.

This case provides students a unique opportunity to use simulation software in spreadsheet format to gain an understanding of probability distributions and simulation technology in order to optimize solutions for various scenarios. The two key components to the design program are the Velocity Prediction Program (VPP) and the Race Modeling Program (RMP). Data gleaned from the VPP predicting sailing performance of various hull geometries is then combined with meteorological and oceanographical data in the RMP to simulate actual racing conditions. Design assessment can then be made in absolute terms and in terms relative to other design candidates.

Files:
UVA-QA-0563TN-M: STARS AND STRIPES: QUEST TO BRING HOME AMERICA'S CUP (v. 1.2) UVA-QA-0563M: STARS AND STRIPES: QUEST TO BRING HOME AMERICA'S CUP (MEDIA)

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top


Three Simulation Problems You Can Use at Home
By Phillip E. Pfeifer

This problem set consists of three focused problems amenable to risk analysis. For example, one of the problems is the classic news-vendor problem. The problems all involve decision making under uncertainty and will test the students' skill in (1) building a spreadsheet model (perhaps informed by an influence diagram), (2) converting the spreadsheet to a risk-analysis model, (3) evaluating the model using simulation, (4) interpreting the results, and (5) conducting meaningful sensitivity analysis.

Files:
UVA-QA-0477: THREE SIMULATION PROBLEMS YOU CAN USE AT HOME

To read more about these files and purchase them, visit the Darden School Case Search Form and enter the case number or keyword.

Back to Top

 
Home | Products | Services | Industries | Applications | Support | About Us | How to Buy
Privacy Policy | Trademarks | Copyright © 2007, Oracle and/or its affiliates. All rights reserved.