Exam 18: Waiting Line Models
Exam 1: Introduction to Operations Management132 Questions
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Exam 15: Scheduling127 Questions
Exam 16: Project Management134 Questions
Exam 16: Spreadsheet Modeling: an Introduction137 Questions
Exam 17: Spreadsheet Modeling: an Introduction133 Questions
Exam 18: Waiting Line Models132 Questions
Exam 19: Master Scheduling and Rough-Cut Capacity Planning69 Questions
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Consider a single-line, single-server waiting line system. Suppose that customers arrive according to a Poisson distribution at an average rate of 50 per hour, and the average (exponentially distributed)service time is 45 seconds per customer. What is the probability that 4 customers are in the system?
(Short Answer)
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List some system changes one can make to try to improve waiting line performance.
(Short Answer)
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In designing service systems, the main challenge is to design a system with ___________ but not _____ amounts of capacity.
(Short Answer)
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Which of the following is not considered to be a valid performance measure of a waiting line system?
(Multiple Choice)
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Consider a single-line, single-server waiting line system. Suppose that customers arrive according to a Poisson distribution at an average rate of 50 per hour, and the average (exponentially distributed)service time is 45 seconds per customer. What is the average time spent in the system (in minutes)?
(Short Answer)
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Which of the following is not an assumption of the waiting line models presented in the textbook?
(Multiple Choice)
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Consider a single-server queuing system (with Poisson arrivals and exponential service times). If the arrival rate is 30 units per hour, and each customer takes 30 seconds on average to be served, what is the average length of the line?
(Multiple Choice)
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Vacillating occurs when a customer enters one line and then switches to a different line in an effort to reduce his or her waiting time.
(True/False)
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Customers in a grocery store would be considered a finite customer population.
(True/False)
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Consider a single-line, single-server waiting line system. Suppose that customers arrive according to a Poisson distribution at an average rate of 50 per hour, and the average (exponentially distributed)service time is 45 seconds per customer. What is the probability that 2 customers are in the system?
(Short Answer)
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Which of the following is not an assumption of the waiting line models presented in the textbook?
(Multiple Choice)
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How could you change the customer arrival rate of a waiting line system?
(Essay)
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