Darden University of Virginia (USA)
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Introduction to Optimization Models
Carraway, Robert L.Technical Note DARDEN-QA-0682-EDecision AnalysisWe refer to a model that uses mathematical programming to find an optimal quantity as an optimization model. Thus, an optimization model differs from an evaluation model in that it goes beyond simply evaluating the consequences of proposed alternatives: It actually identifies the “optimal” alternative. How does an optimization model accomplish this impressive task? In this age of readily available computing power and ever more user-friendly softw...Starting at €8.20
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Salmones Puyuhuapi (A)
Pfeifer, Phillip E.; Echeverria, RafaelCase DARDEN-QA-0749-EDecision AnalysisThis case series is appropriate for undergraduate, MBA, executive education, and MBAExec audiences but is specifically designed for decision analysis, a first-year MBA core course. In the A case, Osvaldo Correa, CEO of Salmones Puyuhuapi (SP), must decide how to respond to news that the ISA virus has infected a competitor’s salmon farming site. The alternatives include harvesting SP’s 900,000 salmon two months early, waiting for the fish to grow ...Starting at €8.20
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Salmones Puyuhuapi Part I
Bodily, Samuel E.; Echeverria, Rafael; Pfeifer, Phillip E.Case DARDEN-QA-0776-EDecision AnalysisThis case series is appropriate for undergraduate, MBA, executive education, and MBA Exec audiences but is specifically designed for decision analysis, a first-year MBA core course. In the Part I case, Osvaldo Correa, CEO of Salmones Puyuhuapi (SP), must decide how to respond to news that the ISA virus has infected a competitor’s salmon farming site. The alternatives include harvesting SP’s 900,000 salmon two months early, waiting for the fish to...Starting at €8.20
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Analyzing Uncertainty: Probability Distributions and Simulation
Carraway, Robert L.Technical Note DARDEN-QA-0660-EDecision AnalysisThis note introduces simulation as a tool to analyze uncertainty in business decisions. It first observes the limitations of single point or simple range estimates of key uncertainties, thereby motivating the need to create a risk profile for any alternative that characterizes the full range of possible outcomes and their relative likelihoods. A simple example involving both a discrete and a continuous (triangle) distribution is used. The note is...Starting at €8.20
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Jaikumar Textiles, Ltd. (B): The Nylon Division
Carraway, Robert L.Case DARDEN-QA-0391-EDecision AnalysisIn this case, a second constraining resource is introduced to the decision environment of the A case (UVA-QA-0364), making linear programming appropriate and useful. Because there are two decision variables, the problem can be solved graphically. A set of memoranda to the decision maker in the case motivates discussion of a shadow price and its associated range.Starting at €5.74
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Dow Chemical U.S.A.: Capacity Expansion
Carraway, Robert L.Case DARDEN-QA-0411-EDecision AnalysisDow Chemical U.S.A. is faced with the decision of where to locate a new chemical reactor. Three current plants sites are being considered. Economic planner John Lewis has been charged with analyzing the impact of the reactor location on distribution costs. Though not suggested in the case, it is possible to construct a linear programming model to assist him in his analysis.Starting at €8.20
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The Mathematics of Optimization
Carraway, Robert L.Technical Note DARDEN-QA-0683-EDecision AnalysisIn “Introduction to Optimization Models” (UVA-QA-0682), we explored the basics of using optimization models, or mathematical programming. In this technical note, we turn our attention to the mathematics underlying optimization. While not essential, a deeper understanding of the math can help you become a significantly more effective and efficient user of optimization models. It is well worth the investment if you anticipate using optimization on ...Starting at €8.20
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Introduction to Analytical Probability Distributions
Carraway, Robert L.; Jenkins, RobertTechnical Note DARDEN-QA-0690-EDecision AnalysisThis technical note provides a mostly nontechnical introduction to analytical probability distributions. The distributions covered are: uniform, triangular, normal, Poisson, exponential, lognormal, and binomial.Starting at €8.20
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Salmones Puyuhuapi: Production Planning
Pfeifer, Phillip E.; Echeverria, RafaelCase DARDEN-QA-0753-EDecision AnalysisThis case is appropriate for undergraduate, MBA, and MBAE audiences, but is specifically designed for Decision Analysis and Decision Analysis and Optimization, first-year MBA electives. It is related to but separable from "Salmones Puyuhuapi (A)" (UVA-QA-0749). That A case was about whether to harvest salmon early due to the threat of a virus, and it used a simple approximation for relating the value of a harvested salmon to its live weight. This...Starting at €8.20
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Salmones Puyuhuapi (B)
Pfeifer, Phillip E.; Echeverria, RafaelCase DARDEN-QA-0750-EDecision AnalysisThis case series is appropriate for undergraduate, MBA, executive education, and MBAExec audiences but is specifically designed for decision analysis, a first-year MBA core course. In the A case, Osvaldo Correa, CEO of Salmones Puyuhuapi (SP), must decide how to respond to news that the ISA virus had infected a competitor’s salmon farming site. The alternatives include harvesting SP’s 900,000 salmon two months early, waiting for the fish to grow ...Starting at €5.74