Compare the evidence of a Nordic presence in the Americas before the arrival of Columbus with the evidence of a West African presence during that period. It has been said by historians that the Nordics and the West Africans were in the Americas before Columbus arrived in 1492. Though evidence‚ such as oral sagas‚ tracing routes which it was said they took‚ artifacts‚ skeletal remains‚ among others‚ have been found to prove that they could have been present; there are still debates as to whether
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The arrival of a journey is not as significant as the journey itself. Without considering the journey‚ the arrival would mean nothing. A journey is more than a movement from one point to another‚ it is what happens during the journey to an individual that matters‚ and the arrival is just the outcome of the process of development. Stephen Sommers’ film “The Adventures of Huck Finn” conveys how journeys aren’t straightforward and can have many detours. But‚ the novel “Catcher in the Rye” featuring
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The Wellands knew from the start that being Jim’s foster parents was going to be quite demanding. They knew he was a difficult child and were told about his mother‚ but they were willing to take the challenge. Jim’s arrival into their family didn’t just alter their daily routines; they found that he became their prime worry. There are several instances where the family members show signs of exasperation and even desperation towards Jim’s antics. The first signs of trouble incidentally start from
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Distribution Introduction An electrical engineer who is in charge of an electrical wiring in a premise wants to know the number of faults in a given length of wire and also the distance between such faults. He can analyzed the number of faults using the Poisson distribution. The number of faults along the wire maybe shown to give rise to the exponential distribution as defined below: Definition The general formula for the probability density function of the exponential distribution is is
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Waiting Line Questions Render with A PROBLEMS 1. A waiting line meeting the M/M/1 assumptions has an arrival rate of 4 per hour and a service rate of 12 per hour. What is the probability that the waiting line is empty? Po = 1 - λ/μ = 1 - 4/12 = 8/12 or 0.667. (The variety of queuing models‚ easy) {AACSB: Analytic Skills} 2. A waiting line meeting the M/M/1 assumptions has an arrival rate of 4 per hour and a service rate of 12 per hour. What is the average time a unit spends in the system
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Queueing Theory. In R. B. Cooper‚ Introduction to Queueing Theory. New York: CEEPress‚ The George Washington University. O. Garnett‚ A. M. (2002). Designing a Call Center with Impatient Customers. Manufacturing & Service Operations Management ‚ 2-5. Poisson process. (2012‚ March 24). Retrieved April 20‚ 2012‚ from Wikipedia: http://en.wikipedia.org/wiki/Poisson_process Sze‚ D. (1984). A Queueing Model for Telephone Operator Staffing. Operations Research ‚ 229–249.
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storage bin operates 16 hours per day and 7 days a week. It is capable of unloading an average of 35 trucks per hour. Full truckloads arrive at an average interval of 2 minutes. The unloading time is distributed exponentially and the arrival rate follows a Poisson distribution. a. What is the average number of trucks and the average time per truck in the system? b. What is the probability that more than 3 trucks are in the system? c. The farmers use the storage bin only for 2 weeks per year.
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distribution To compute the expected value and variance of a probability distribution To calculate the covariance and understand its use in finance To compute probabilities from binomial‚ hypergeometric‚ and Poisson distributions How to use the binomial‚ hypergeometric‚ and Poisson distributions to solve business problems Copyright ©2012 Pearson Education‚ Inc. publishing as Prentice Hall Chap 5-2 Definitions Random Variables A random variable represents a possible numerical value
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Capacity utilization is crucial for profitability. Orderwinners(competitive dimensions):Price: low cost process Quality: high quality process Time: fast process/Flexibility: flexible pushing out the frontier(innovation) Capacity‚ inventory and information (variability reduction) are substitute ways to meet demand.( OM Triangle) Inventory build up without variability Scenario 1: Demand rate < Capacity‚ and no buffer inventory Throughput rate = Demand rate Scenario 2: Demand rate > Capacity
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includingtelecommunications‚[2] traffic engineering‚ computing[3] and the design of factories‚ shops‚ offices and hospitals.[4] Contents [hide] * 1 Overview * 2 History * 3 Application to telephony * 4 Queueing networks * 5 Utilization * 6 Role of Poisson process‚ exponential distributions * 7 Limitations of queueing theory * 8 See also * 9 References * 10 Further reading * 11 External links | ------------------------------------------------- [edit]Overview The word queue comes‚ via French
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