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Published byBruno Norton Modified over 9 years ago
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Case Discussion
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“Whenever the costs of providing the services of the sharable input to two or more product lines are sub- additive (i.e. less than total costs of providing these services for each product line separately), the multiproduct cost function exhibits economies of scope.
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What is the Output? How would we calculate the output rate? If a feedlot operator wanted to increase the output rate of his/her operations, what should he/she do? How do they manage Quality?
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What is the Output? What is the output rate of this operation? How would you measure capacity? (Make assumptions where needed – be creative with your metrics) If Salatin wanted to increase the output rate of his operations, what could he do?
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What levers does each manager have? Operationally what is each manager’s objective What does each manager (economies of scale vs. scope) have to be “good at”
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Product Range Process Design Quality Uncertainty Organizational Structure / Decision-Making Workforce Skills Productivity (choose metrics where possible)
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Assess the need for an Expert System (i.e., decision tree) for each of the following types of organizations: ◦ Retailer ◦ Bank ◦ Defense contractor ◦ Transportation company ◦ Mining company Choose one of the above examples and create a decision tree for an expert system
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In the hiring process, how could talent analytics affect your prospects for obtaining a competitive job position and also your success after being hired? How could you better design the content of your resume for a job where you knew the employer used talent analytics in the recruiting process? As a SVP for your respective field for an organization how could you best design a Talent Analytics Process to truly recruit and retain the best talent.
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Assurant used analysts with no call center experience to evaluate process performance ◦ What are the factors that allowed this approach to be successful at Assurant? ◦ Think of another organizational example where this could work ◦ In what ways could this approach be problematic elsewhere? Why is Insurance an industry for which analytics can be readily put into use How would you allow organizational members across functional areas to learn how to employ analytics to assess business processes
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