Managerial Decision Modeling w/ Spreadsheets, 3e (Balakrishnan/Render/Stair) Chapter 9 Queuing Models 9.1 Chapter Questions 1) Reneging refers to customers who: A) do not join a queue B) switch queues C) join a queue but abandon their shopping carts before checking out D) join a queue but are dissatisfied E) join a queue and complain because of long lines Answer: C Page Ref: 371 Topic: Characteristics of a Queuing System Difficulty: Moderate 2) This queuing system configuration is referred to as a: A) single-server, multiphase system B) multiple-server, multiphase system C) multiple-server, single-phase system D) single-server, single-phase system E) single-server, parallel phase system Answer: D Page Ref: 373 Topic: …show more content…
What is the probability that the service facility will be idle? A) 0.23 B) 0.70 C) 0.33 D) 0.30 E) 0.233 Answer: D Page Ref: 377 Topic: Single-Server Queuing System With Poisson Arrivals and Exponential Service Times (M/M/1 Model) Difficulty: Moderate AACSB: Analytic Skills 12) Refer to the table. What percent of the time is the server busy? A) 10% B) 33% C) 23% D) 70% E) 30% Answer: D Page Ref: 377 Topic: Single-Server Queuing System With Poisson Arrivals and Exponential Service Times (M/M/1 Model) Difficulty: Moderate AACSB: Analytic Skills 13) Refer to the table. What is the average number of customers in the queue plus the number being served? A) 0.70 B) 2.33 C) 1.63 D) 0.23 E) 0.33 Answer: B Page Ref: 377 Topic: Single-Server Queuing System With Poisson Arrivals and Exponential Service Times (M/M/1 Model) Difficulty: Moderate AACSB: Analytic Skills 14) Refer to the table. What is the average time a customer spends waiting in line and being served? A) 0.23 B) 2.33 C) 0.33 D) 1.63 E) 0.70 Answer: C Page Ref: 377 Topic: Single-Server Queuing System With Poisson Arrivals and Exponential Service Times (M/M/1 Model) Difficulty: Moderate AACSB: Analytic Skills 15) Refer to the table. What is the average number of customers waiting to be served? A) 0.23 B) 2.33 C) 0.33
7. Write an equation to find the “Number of people who know” for any 5-minute interval in Scenario B.
|B) On the same set of axes, plot the total , average, and marginal-revenue schedules of part (a) |
Question 1: describe the problem facing the restaurant by answering these questions in your own words. What is the problem? Why has it occurred? How is Mr. Diamantouros planning to respond to the problem?
A) The weekly budget is formed by only using the early start times of each activity.
A. The simulated function given in the Excel spreadsheet “Hamptonshire Express: Problem_#1” allows the user to find the optimal quantity of newspapers to be stocked at the newly formed Hamptonshire Express Daily Newspaper. Anna Sheen estimated the daily demand of newspapers to be on a normal standard distribution; stating that daily demand will have a mean of 500 newspapers per day with a standard deviation of 100 newspapers per day. Using the function provided, the optimal stocking quantity, which maximizes expected profit, is determined to be approximately 584 newspapers. If 584 newspapers were to be ordered, Hamptonshire Express will net an
Customer service durations in the restaurant are variable, for example, some may take 90 minutes and some may take 60 minutes.
|3. |(Table: Total Product and Marginal Product) The average product of the fourth worker is ________ units. |
15) Suppose that you intend to use Solver to compute the optimal weights for a weighted moving average. Changing variable cells would refer to:
As the food court manager at the Mall of Elbonia, you need to determine how much time customers spend at the mall during different times of the week (for example: midweek day; midweek evening; weekend day; weekend evening). Last week the mall survey staff randomly surveyed mall visitors as they left the mall. One key question asked how much time the customer had spent in the mall on that day.
1. Is the average amount that people are willing to pay for an entrée less than the forecast value of $19?
Assume the average number of attendees increase from 71% to 85% due to A Rod Factor
Queueing analysis has been used in hospitals and other healthcare settings, but not fully utilized. There has been no proper approach in dealing with queues theory and models and accompanying risks, some of which will be still contentious. Due to the myriad of health risks that come with patients taking long on queues, there is need to investigate and unravel untold sufferings among the patients, The results of this study will be used to a larger extent by the medical practitioners in the Ministry of Health, County Governments and Iten County Referral Hospital management to ensure that queuing theory is properly
In (Table 3) and (Table 4) we apply these allocation rates with Customers A and B to illustrate how costs are affected by the ordering habits of customers
This report is based on several assumptions drawn from the facts outline in the Logan case. First, we will assume that Logan airport operates 24 hours per day, 365 days per year. Furthermore, it is assumed that the processing system is a single-phase service process, which means that each server (runway) performs the same set of activities on one customer (aircraft) at a time. Each aircraft is processed in the first come first serve (FCFS) order. Since 90%
Queueing theory deals with one of the most unpleasant experiences of life, waiting. Queueing is quite common in many fields, for example, in telephone exchange, in a supermarket, at a petrol station, at computer systems, etc. I have mentioned the telephone exchange first because the first problem of queueing theory was raised by calls and Erlang was the first who treated congestion problems in the beginning of 20th century.