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The local hospital's emergency department has 5 trauma bays. On average, patients requiring a trauma bay arrive every 50 minutes (with a coefficient of variation of 1, no seasonality exists). If the hospital has an available trauma bay, it is immediately allocated to a needy patient. If there are no trauma bays available, the patient is sent to another hospital. On average, a patient's length of stay in a trauma bay is 2.0 hours (with a standard deviation of 1.5 hours). The hospital's emergency department operates 24 hours a day. a What fraction of the patients requiring trauma bays end up being sent to another hospital? b How many patients are treated in the trauma bays on an average 24 hour day? c The hospital updated operating procedures for staff, reducing the standard deviation of the length of stay in a trauma bay from 1.5 to 1.2 hours, but the mean remained at 2 hours. How will this training program affect the number of patients who have immediate access to a trauma bay? d New state regulations require that every emergency department be able to accommodate at least 99.5% of all patients needing a trauma bay with no waiting. What is the minimum number of trauma bays necessary to meet this requirement? (Assume that the time spent in the trauma bay cannot be changed from the original mean of 2.0 hours.)
How can Boreki use this information? Boreki reviews the classification and then places item A2 into the A category. Why might he do so?
Given the series of demand data alculate the forecasts for periods 7 through 11 using moving average models with n = 2, n = 4, and n = 6 and Calculate the bias and MAD for each set of forecasts.
Determine the approximate length of a production run in days. About how many runs per year would there be?
A manager states that his process is really working well. Out of 1,500 parts, 1,477 were produced free of particular defect and passed inspection. a)Calculate the defects per million opportunities (DPOM). b)Calculate the defective rate
Your job is to compute forecasts using exponential smoothing technique with alpha of 0.3. Assume the initial forecast for day 1is 37. Show details for at least three calculations
The following is a payoff table giving profits for various situations. The probabilities for states of nature A, B, and C are 0.3, 0.5, and 0.2, respectively.
Wally and Beaver were general partners in a car dealership. Using the partnership name, Wally entered into a contract to purchase 30 used cars from Car Lots.
Briefly describe the guidelines for determining the overall arrangement in Retail Stores. Briefly describe the advantages of Work Cells.
explain the difference between profit and contribution in an objective function. Why is it important for the decision maker to know which of these the objective function coefficient represent?
What is the recommended order quantity and what are the annual savings of your inventory policy over the policy currently being used by ShoeCo?
Do you recognize generic similarities or differences between the NASA and Union Carbine incidents and the organization culture where you currently work or an organization which you were associated with in the past?
Theories of management originated in the early 1900's. They have influenced how we view management today. By Wednesday, February 20, 2013, post a short essay that explores one of the early theories of management.
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