/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} 11OQ An engineering firm retains a te... [FREE SOLUTION] | 91影视

91影视

An engineering firm retains a technical specialist to assist four design engineers working on a project. The help that the specialist gives engineers ranges widely in time consumption. The specialist has some answers available in memory, others require computation, and still, others require significant search time. On average, each request for assistance takes the specialist one hour. The engineers require help from the specialist on average of once each day. Because each assistance takes about an hour, each engineer can work for seven hours, on average, without assistance. One further point: Engineers needing help do not interrupt if the specialist is already involved with another problem. Treat this as the finite queuing problem and answer the following questions:

a. How many engineers, on average, are waiting for the technical specialist for help?

b. What is the average time that an engineer has to wait for the specialist?

c. What is the probability that an engineer will have to wait in line for the specialist?

Short Answer

Expert verified

Consider the information given for the engineering firm

Assume the population is finite.

Time is taken for assistance,T=1hour

Average time engineer can work before assistance, U = 7 hr.

Number of Engineers, N = 4

Number of assistants, S = 1

Calculate the service factor with the help of the given formula:

X=TT+U

Where,

X= Service factor

T= Time taken for assistance

U= Average time engineer can work before assistance

Thus,

Service Factor,

X=11+7X=0.125

Step by step solution

01

(a) Calculate the average number of engineers that are waiting for the help of a technical specialist with the help of the given formula

The average number of engineers waiting in the line

L= Average number of engineers waiting in the line

N = Number of Engineers

F= Efficiency factor

F for S = 1 and

X = 0.125

From the Finite Queuing Table given in the

Thus, Efficiency factor (F) = 0.945.

L=N1-F=41-0.945=0.22

Hence, the average number of engineers waiting in the line is 0.22

To get the average waiting time, compute the value of H.

H is the number of engineers to be helped.

02

(b) Calculate the average number of engineers being helped with the help of the given formula

The average number of engineers being helped,

H=NFX=40.9450.125H=0.475

Calculate the average time an engineer has to wait with the help of the given formula:

Average time an engineer has to wait

W=LTH=0.2210.475=0.463Hour

Hence, the average time an engineer has to wait is 0.463 hours.

03

(c) Calculate the probability that an engineer will have to wait in line for the specialist with the help of the Finite Queuing Table given in the chapter, as follows

Service factor (X) = 0.125

Efficiency factor (F) = 0.945

Number of assistants (S) = 1

The value of D in the table is 0.362.

Therefore, the probability (D) that an engineer will have to wait in line for the specialist is D=0.362

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

A toll tunnel has decided to experiment with the use of a debit card for the collection of tolls. Initially, only one lane will be used. Cars are estimated to arrive at this experimental lane at the rate of 750 per hour. It will take exactly four seconds to verify the debit card.

b.How many cars would you expect to see in the system?

Question: S. L. P. Craft would like your help in developing a layout for a new outpatient clinic to be built in California. From the analysis of another recently built clinic, she obtains the data shown in the following diagram. This includes the number of trips made by patients between departments on a typical day (shown above the diagonal line) and the lettered weights (defined in Exhibit 8.8C) between departments as specified by the new clinic鈥檚 physicians (below the diagonal). The new building will be 60 feet by 20 feet. (Assume distances are measured from

the center of the departments and a 鈥渟traight line鈥 to the other department centers.)

a.Develop an interdepartmental flow graph that considers patient travel trips.

b.Develop a 鈥済ood鈥 relationship diagram using systematic layout planning.

c.Choose either of the layouts obtained in (a) or (b) and sketch the departments to scale within the building.

d.Will this layout be satisfactory to the nursing staff? Explain.

What is a customer order decoupling point? Why is it important?

Why might it be difficult to develop a manufacturing cell?

A cafeteria serving line has a coffee urn from which customers serve themselves. Arrivals at the urn follow a Poisson distribution at the rate of three per minute. In serving themselves, customers take about 15 seconds, exponentially distributed.

a. How many customers would you expect to see on the average at the coffee urn?

b. How long would you expect it to take to get a cup of coffee?

c. What percentage of time is the urn being used?

d. What is the probability that three or more people are in the cafeteria?

e. If the cafeteria installs an automatic vendor that dispenses a cup of coffee at a constant time of 15 seconds, how does this change your answers to (a) and (b)?

See all solutions

Recommended explanations on Business Studies Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.