OPERATIONS MANAGEMENT (LL) W/CONNECT
14th Edition
ISBN: 9781265502942
Author: Stevenson
Publisher: MCG CUSTOM
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Question
Chapter 18, Problem 18P
a)
Summary Introduction
To determine: Probability that a caller will get a busy signal.
Introduction: Poisson distribution is utilized to ascertain the probability of an occasion happening over a specific time period or interval. The interval can be one of time, zone, volume or separation. The probability of an event happening is discovered utilizing the equation in the Poisson distribution.
b)
Summary Introduction
To determine: Probability that a customer will put on hold.
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Students have asked these similar questions
Would you expect the Poisson distribution to be a good approximation of
a) Runners crossing the finish line in the Boston Marathon?
b) Arrival times of the students in your OSCM class?
The average time between the arrivals of the taxis arriving at the airport to pick up passengers has an exponential distribution, with an average of 10 minutes.
a) What is the probability that a passenger will wait for the taxi less than 15 minutes?
b) What is the probability that a passenger will wait for the taxi between 20 and 30 minutes? Solve using the cumulative distribution function
H1
In an M/MA queueing system, the arrival rate is 3 customers per hour and the service rate is 5 customers per hour. If the service
process is automated (resulting in no variation in service times but the same service rate), what will be the resulting performance
measurements? (Round your answers to 3 decimal places.)
d. What is the expected number of customers in the queue (Lq)?
Number of customers (queue)
e. What is the expected waiting time (in hours) in the queue (Na)?
Waiting time (queue)
Chapter 18 Solutions
OPERATIONS MANAGEMENT (LL) W/CONNECT
Ch. 18.1 - Prob. 1.1RQCh. 18.1 - Prob. 1.2RQCh. 18 - Prob. 1DRQCh. 18 - Why do waiting lines form even though a service...Ch. 18 - Prob. 3DRQCh. 18 - Prob. 4DRQCh. 18 - What approaches do supermarkets use to offset...Ch. 18 - Prob. 6DRQCh. 18 - Prob. 7DRQCh. 18 - Prob. 8DRQ
Ch. 18 - Prob. 9DRQCh. 18 - Prob. 1TSCh. 18 - Prob. 2TSCh. 18 - Prob. 3TSCh. 18 - Prob. 1CTECh. 18 - Prob. 2CTECh. 18 - Prob. 3CTECh. 18 - The owner of Eat Now Restaurant implemented an...Ch. 18 - Prob. 5CTECh. 18 - Prob. 1PCh. 18 - Prob. 2PCh. 18 - Prob. 3PCh. 18 - Prob. 4PCh. 18 - Prob. 5PCh. 18 - Prob. 6PCh. 18 - Prob. 7PCh. 18 - Prob. 8PCh. 18 - Prob. 9PCh. 18 - Prob. 10PCh. 18 - Prob. 11PCh. 18 - Prob. 12PCh. 18 - Prob. 13PCh. 18 - Prob. 14PCh. 18 - Prob. 15PCh. 18 - A priority waiting system assigns arriving...Ch. 18 - Prob. 17PCh. 18 - Prob. 18PCh. 18 - Prob. 1CQ
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- A fast-food restaurant offers a variety of products: from pre-made packaged sandwiches to milkshakes with different flavors. Many customers order one item time, other customers order multiple items. Sometimes customers buy the pre- made items, and some customers actually ask the restaurant to cook their food while they wait. The restaurant manager has kept careful records of some queuing statistics over several weeks. According to this data, the staff needs 4 minutes on average to serve a random customer. On average, the restaurant served 120 customers on a given day. This restaurant is open from 9 AM to 9 PM every day, and has a single service counter. If you want to help the manager measure this restaurant's waiting line performance, which of the following should you use? Exponential Service Rate Model The Finite Source Model Constant Service Rate Model O The multi phase single channel modelarrow_forwardCustomers arrive at a one window drive according to a poison distribution with mean of 10 minutes and service time per customer is exponential with mean of 6 minutes. The space in front of the window can accommodate only three vehicles including the serviced ones. Other vehicles are have to wait outside this space. Calculate:a. A. probability that an arriving customer can drive directly to the space in front of the windowb. Probability that an arriving customer will have to wait outside the directed space c. How long an arriving customer is expected to wait before getting the service?arrow_forward
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