Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
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Chapter D, Problem 18P
a)
Summary Introduction
To determine: The average number of computers waiting for adjustment.
Introduction: The mathematical study which analyses the causes of delay in the waiting line is known as queuing theory. The theory examines all components in the waiting line such as arrival process, service process, and number of servers, system and customers.
b)
Summary Introduction
To determine: The average number being adjusted.
c)
Summary Introduction
To determine: Average number of computers not in working order.
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QUESTION 10
MM2 has a queuing problem where customers who line up to pay their selections form the waiting line. The MM2 system consists of an arrival rate of 3 per hour according to a
Poisson distribution, and service times are on average equal to 16 minutes per customer.
What is the number of customers waiting in the queue on average?
O&1.333
Ob.4.0
Oc.0.952
Od32
O.0.152
Question 3
[Soalan 31
Jeruk Pak Abu's Store in Butterworth, Pulau Pinang, maintains a successful
catalog sales department in which a clerk takes orders by telephone. If the clerk is
occupied on one line, incoming phone calls to the catalog department are
answered automatically by a recording machine and asked to wait. As soon as the
clerk is free, the party who has waited the longest is transferred and serviced first.
Calls come in at a rate of about 12 per hour. The clerk can take an order in an
average of 4 minutes. Calls tend to follow a Poisson distribution, and service
times tend to be negative exponential. The cost of the clerk is RM10 per hour, but
because of lost good -will and sales, Jeruk Pak Abu's Store loses about RM25 per
hour of customer time spent waiting for the clerk to take an order.
[Kedai Jeruk Pak Abu di Butterworth, Pulau Pinang, mempunyai bahagian penjualan katalog
yang berjaya di mana seorang kerani mengambil pesanan melalui telefon. Sekiranya kerani itu
sibuk…
Question in image
Chapter D Solutions
Operations Management
Ch. D - Prob. 1DQCh. D - Prob. 2DQCh. D - Question 3. Name the three factors that govern the...Ch. D - Prob. 4DQCh. D - Prob. 5DQCh. D - Prob. 6DQCh. D - Prob. 7DQCh. D - Prob. 8DQCh. D - Prob. 9DQCh. D - Question 10. Describe the behavior of a waiting...
Ch. D - Question 11. Discuss 1he likely outcome of a...Ch. D - Prob. 12DQCh. D - Prob. 13DQCh. D - Prob. 14DQCh. D - Question 15. What happens if two single-server...Ch. D - Prob. 16DQCh. D - Prob. 17DQCh. D - Prob. 1PCh. D - Prob. 2PCh. D - Question D.3 Paul Fenster owns and manages a...Ch. D - Prob. 4PCh. D - Prob. 5PCh. D - Prob. 6PCh. D - Question D.7 Automobiles arrive at the...Ch. D - Question D.8 Virginias Ron McPherson Electronics...Ch. D - Question D.9 Neve Commercial Bank is the only...Ch. D - Question D.10 Beate Klingenberg manages a...Ch. D - Question D.11 Bill Youngdahl has been collecting...Ch. D - Question D.12 The wheat harvesting season in the...Ch. D - Prob. 13PCh. D - Prob. 14PCh. D - Prob. 15PCh. D - Prob. 16PCh. D - Prob. 17PCh. D - Prob. 18PCh. D - Question D.19 One mechanic services 5 drilling...Ch. D - Prob. 20PCh. D - Prob. 21PCh. D - Prob. 22PCh. D - Prob. 23PCh. D - Prob. 24PCh. D - Question New England Foundry For more than 75...Ch. D - Prob. 1.2CSCh. D - New England Foundry For more than 75 years, New...Ch. D - Question The Winter Park Hotel Lori Cook, manager...Ch. D - Question The Winter Park Hotel Lori Cook, manager...
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- Question: What is the sample mean, sample standard deviation, minimum, and maximum of the total time in the system observed for the customers who arrived at, and departed from, the system during the time interval [100.0, 120.0]? Using Excel formulas. What is the time-averaged (time-weighted) mean number waiting in the queue during the time interval [100.0, 120.0] using a hand simulation table. Customer Arrives at Queue Departs from Queue Departs from Server Time in Queue Time in Service Total Time in System 83 100.4 102.3 108.3 84 101.5 108.3 109.5 85 105.1 110.6 86 106.8 112.9 87 108.1 114.2 88 113.5 116.3 89 117.9 119.2 90 118 91 119.9 109.5 110.6 112.9 114.2 117.9 119.2 After 120.0 After 120.0 After 120.0 Mean SD Min Max Just Finished Event Variables Attributes (Arr Times) Time t Event Type Q(t) B(t) (In Queue) In Service P Entity # N Statistical Accumulators Event Calendar [WQ WQ* ETS TS* JQ(t) Q(t)* JB(t) Entity # Time Typearrow_forwardQuestion 1 Imagine you're tasked with creating a digital model for a warehouse that handles four different products. The process begins with each product arriving at a temporary waiting area before moving to one of four inspection machines. After inspection, the products proceed to a scanning station and then are transported to one of four storage racks. Products arrive at an average rate of one every 12 seconds (following an exponential distribution). The inspection machines have an average processing time of 6 seconds (also exponentially distributed), while scanning each product takes a fixed time of 4 seconds. The simulation will run for a total of 50,000 seconds, with a queue capacity of 10,000. Build a digital model of this workflow in FlexSim and analyze the output results. Begin by describing the entire process and outlining the layout in FlexSim. Include screenshots of the settings for the Queue, Source, and Processors. Finally, provide key output data, including the state…arrow_forwardQUESTION 3 Metropolitan General Hospital is a city-owned and operated public hospital. Its emergency room is the largest and most prominent in the city. Approximately 70% of emergency cases in the city come or are sent to Metro General's emergency room. As a result, the emergency room is often crowded and the staff is overworked, causing concern among hospital administrators and city officials about the quality of service and health care the emergency room is able to provide. One of the key quality attributes administrators focus on is patient waiting time that is, the time be- tween when a patient checks in and registers and when the patient first sees an appropriate medical staff member. Hospital administration wants to monitor patient waiting time using statistical process control charts. At different times of the day over a period of several days, patient waiting times were recorded at random with the following results: Sample 1 2 3 4 5 6 7 8 9 10 1 7 22 6 25 21 17 25 15 1 28 27 16…arrow_forward
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