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Bloomex.ca Logistics Optimization
Bodily, Samuel E.; Ovchinnikov, Anton S.Case DARDEN-QA-0760-EDecision AnalysisA Canadian online floral delivery company considers whether to source more flowers from its existing growing locations and which of those would be optimal given its current market. What would be the advantages of opening a logistics facility in Miami? Students must consider the transportation costs per standard box from each origin or transshipment center to each production facility as well as data about the available supply at each origin and pr...Starting at €8.20
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Nephila Builds a Portfolio of Weather Risk Transfer Contracts
Bodily, Samuel E.; Coleman, D. MatthewCase DARDEN-QA-0844-EDecision AnalysisThe weather team at Nephila Capital Ltd. (Nephila) was in the midst of the weather market’s busy winter renewal period. The list of weather risk transfer contracts that needed to be analyzed and priced seemed to be growing by the minute, and one team member is devising a plan to price each deal on its own merits of risk/reward. The counterparty’s bid would reflect the willingness of the contracting party to pay for a weather hedge, and none would...Starting at €8.20
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Airbnb in Amsterdam (B)
Weiss, Mitchell B.; Moloney, Emer; Dessain, VincentCase HBS-817014-EEntrepreneurshipIn December 2014, the City of Amsterdam and Airbnb announced an MOU to promote responsible home-sharing and to simplify the payment of tourist tax for hosts in the City. It was the most comprehensive agreement that Airbnb had with any city in the world. It's final provision read, "The parties trust that theirs will be a fruitful cooperation." However, both sides were uncertain about how the agreement would be received. Molly Turner, Airbnb's Glob...Starting at €5.74
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Salmones Puyuhuapi Part II
Bodily, Samuel E.Case DARDEN-QA-0777-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. The Part II case affords the opportunity to examine downstream decisions and a real option regarding how fast to harvest the fish when the virus hits. Monte Carlo simulation would be used to incorporate uncertainties about when the virus hits, if it hits, and mortalit...Starting at €8.20
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Global Knowledge Management at Danone (A)
Edmondson, Amy C.; Moingeon, Bertrand; Dessain, Vincent; Jensen, Ane DamgaardCase HBS-608107-EKnowledge and CommunicationThis case explores French consumer goods company Danone's novel approach to knowledge management. In 2007, Human Resource Chief (Executive Vice President) Franck Mougin assesses the company's knowledge-sharing tools and considers his options going Forward. Through informal knowledge marketplaces and sharing networks, Danone had helped managers connect with each other and share good practices peer-to-peer, rather than relying on traditional hierar...Starting at €8.20
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Global Knowledge Management at Danone (A) (Spanish version)
Edmondson, Amy C.; Moingeon, Bertrand; Dessain, Vincent; Jensen, Ane DamgaardCase HBS-610S14StrategyThis case explores French consumer goods company Danone's novel approach to knowledge management. In 2007, Human Resource Chief (Executive Vice President) Franck Mougin assesses the company's knowledge-sharing tools and considers his options going Forward. Through informal knowledge marketplaces and sharing networks, Danone had helped managers connect with each other and share good practices peer-to-peer, rather than relying on traditional hierar...Starting at €8.20
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Chandpur Enterprises Limited, Steel Division
Bodily, Samuel E.; Mittal, AkshayCase DARDEN-QA-0761-EDecision AnalysisThe managing director of a steel plant faces the decision of how much of each raw material to order for the plant for the following month. Due to lower and upper bounds on the amounts of each raw material in a batch and varying amounts of electricity and time consumed for different raw materials, one can’t simply use the cheapest raw material. A linear program and the solver optimization function of Excel will provide the optimal amounts that mee...Starting at €8.20
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Caprica Energy and Its Choices
Harris, Jared D.; Bodily, Samuel E.; Mead, Jenny; Adolphson, Donald; Carmack, Brad; Rogers, JamesCase DARDEN-QA-0765-EDecision AnalysisJane Barrow, CEO of Caprica Energy, must recommend to the board which of three potential "unconventional" natural-gas development sites in different parts of the United States the company should pursue. The case takes place in January 2011, when the "low-hanging fruit" of natural-gas production in the United States had essentially been picked. All three of the potential sites (shale, coalbed methane, and tight sands) would require hydraulic fract...Starting at €8.20
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AREVA T&D
Raman, Ananth; Dessain, Vincent; Damgaard Jensen, Ane; Kristinsdottir, Gudrun UrfalinoCase HBS-608174-ETo maximize their effectiveness, color cases should be printed in color. The case explores the rapid and highly effective turnaround at AREVA's transmission and distribution (T&D) business by focusing on the division's operations. The division was struggling in 2004 when newly-appointed CEO Philippe Guillemot and his team improved performance substantially by focusing on four levers - industrial footprint realignment, competitive sourcing, proces...Starting at €8.20
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The Pelayo Family Plays Roulette: The Prequel
Pfeifer, Phillip E.; Bodily, Samuel E.; Baucells, ManelCase DARDEN-QA-0847-EDecision AnalysisThe case presents data from 70,340 spins of four roulette wheels: three of which are real ("imperfect") and one of which is simulated ("perfect"). The challenge posed is to identify which of the four is the simulated wheel. After weeks spent recording spin results at their local casino, the members of the Pelayo family think they have identified three imperfect wheels. Before they start betting, they want to be certain that the three wheels they ...Starting at €8.20