2. The local sneaker store has a service counter with one server and one queue. Assume...
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2. The local sneaker store has a service counter with one server and one queue. Assume customer arrival times are governed by the stepped distribution: 4 5 Interarrival time (mins) 0-0.50 0.50-1.2 1.2-2.25 2.25-3.50 3.50-5.00 6 7 5.00-6.75 6.75-7.50 7.50-9.25 9.25-12.11 Probability 0.06 0.09 Customer service times are governed by the discrete distribution: Service time (mins) 1 2 3 0.14 0.21 0.10 0.09 0.11 0.14 0.06 Probability 0.05 0.10 0.12 0.18 0.25 0.20 0.10 Implement this as a Monte Carlo simulation in Excel and simulate a sufficient amount to calculate expected interarrival and service times, expected wait times and length of the queue and system. Is the system stable or unstable? 2. The local sneaker store has a service counter with one server and one queue. Assume customer arrival times are governed by the stepped distribution: 4 5 Interarrival time (mins) 0-0.50 0.50-1.2 1.2-2.25 2.25-3.50 3.50-5.00 6 7 5.00-6.75 6.75-7.50 7.50-9.25 9.25-12.11 Probability 0.06 0.09 Customer service times are governed by the discrete distribution: Service time (mins) 1 2 3 0.14 0.21 0.10 0.09 0.11 0.14 0.06 Probability 0.05 0.10 0.12 0.18 0.25 0.20 0.10 Implement this as a Monte Carlo simulation in Excel and simulate a sufficient amount to calculate expected interarrival and service times, expected wait times and length of the queue and system. Is the system stable or unstable?
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An Introduction to Management Science Quantitative Approaches to Decision Making
ISBN: 978-1111823610
14th edition
Authors: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
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