Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Estimating production time.A widely used technique for estimating the length of time it takes workers to produce a product is the time study. In a time study, the task to be studied is divided into measurable parts, and each is timed with a stopwatch or filmed for later analysis. For each worker, this process is repeated many times for each subtask. Then the average and standard deviation of the time required to complete each subtask are computed for each worker. A worker’s overall time to complete the task under study is then determined by adding his or her subtask-time averages (Gaither and Frazier, Operations Management, 2001). The data (in minutes) given in the table are the result of a time study of a production operation involving two subtasks.


Worker AWorker B

Repetition

Subtask 1

Subtask 2

Subtask 1

Subtask 2

1

30

2

31

7

2

28

4

30

2

3

31

3

32

6

4

38

3

30

5

5

25

2

29

4

6

29

4

30

1

7

30

3

31

4

a.Find the overall time it took each worker to complete the manufacturing operation under study.

b.For each worker, find the standard deviation of the seven times for subtask 1.

c.In the context of this problem, what are the standard deviations you computed in part bmeasuring?

d.Repeat part b for subtask 2.

e.If you could choose workers similar to A or workers similar to B to perform subtasks 1 and 2, which type would you assign to each subtask? Explain your decisions on the basis of your answers to parts a–d.

Short Answer

Expert verified

The overall time taken by B is more than A.

Step by step solution

01

Finding the overall time taken to complete the work

Worker A

Meanforsubtask1=30+28+31+38+25+29+307=2117=30.14Meanforsubtask2=2+4+3+3+2+4+37=217=3Overalltimetaken=Meanforsubtask1+Meanforsubtask2=30.14+3=33.14

Therefore, the overall time taken by Worker A to complete the work under study is 33.14 mins.

Worker B

Meanforsubtask1=31+30+32+30+29+30+317=2137=30.43Meanforsubtask2=7+2+6+5+4+1+47=297=4.14Overalltimetaken=Meanforsubtask1+Meanforsubtask2=30.43+4.14=34.57

Therefore, the overall time taken by Worker A to complete the work under study is 34.57 mins.

02

Calculating the standard deviation for each worker for subtask 1

Worker AWorker B

x

(x-x¯)

(x-x¯)2

y

(y-y¯)

(y-y¯)2

30

-0.14

0.0196

31

0.57

0.3249

28

-2.14

4.5796

30

-0.43

0.1849

31

0.86

0.7396

32

1.57

2.4649

38

7.86

61.7796

30

-0.43

0.1849

25

-5.14

26.4196

29

-1.43

2.0449

29

-1.14

1.2996

30

-0.43

0.1849

30

-0.14

0.0196

31

0.57

0.3249

SUM

0

94.8572

SUM

0

5.7143


localid="1668432137286" VarianceforworkerA=(x-x¯)2n=94.85727=13.55Standarddeviation=Variance=13.55=3.68VarianceforworkerB=(x-x¯)2n=5.71437=0.816Standarddeviation=Variance=0.816=0.9

03

Standard deviations computed in part b measuring

Worker A's standard deviation for completing subtask 1 is 3.68 minutes.

The standard deviation for completing subtask 1 for Worker B is 0.9 minutes.

04

Computing the standard deviation for each worker for subtask 2

Worker AWorker B

x

(x-x¯)

(x-x¯)2

y

(y-y¯)

(y-y¯)2

2

-1

1

7

2.86

8.1796

4

1

1

2

-2.14

4.5796

3

0

0

6

1.86

3.4596

3

0

0

5

0.86

0.7396

2

-1

1

4

-0.14

0.0196

4

1

1

1

-3.14

9.8596

3

0

0

4

-0.14

0.0196

SUM

0

4

SUM

0

26.8527

localid="1668431443790" VarianceforworkerA=(x-x¯)2n=47=0.57Standarddeviation=Variance=0.57=0.75VarianceforworkerB=(x-x¯)2n=26.85277=3.8361Standarddeviation=Variance=3.8361=1.96

Worker A's standard deviation for completing subtask 2 is 0.75 minutes.

The standard deviation for completing subtask 2 for Worker B is 1.96 minutes.

05

Determining the distribution of work

The overall time taken by B is more than A.

The standard deviation for subtask 1 is more significant for Worker A than B. Greater standard deviation implies that A's time to complete subtask 1 varies more, and hence there is no certainty as to when the work will get done. Therefore, type B workers should be given subtask 1.

Type A workers should be given subtask 2 because their standard deviation is smaller than worker Bs, implying that there will be a certainty that the work will get done quickly and the time taken will not vary much.

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 Vaia!

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

Gouges on a spindle. A tool-and-die machine shop produces extremely high-tolerance spindles. The spindles are 18-inch slender rods used in a variety of military equipment. A piece of equipment used in the manufacture of the spindles malfunctions on occasion and places a single gouge somewhere on the spindle. However, if the spindle can be cut so that it has 14 consecutive inches without a gouge, then the spindle can be salvaged for other purposes. Assuming that the location of the gouge along the spindle is random, what is the probability that a defective spindle can be salvaged?

Question: The purpose of this exercise is to compare the variability of with the variability of .

a. Suppose the first sample is selected from a population with mean and variance . Within what range should the sample mean vary about of the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations of on each side of .

b. Suppose the second sample is selected independently of the first from a second population with mean and variance . Within what range should the sample mean vary about the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations on each side .

c. Now consider the difference between the two sample means . What are the mean and standard deviation of the sampling distribution ?

d. Within what range should the difference in sample means vary about the time in repeated independent samples of measurements each from the two populations?

e. What, in general, can be said about the variability of the difference between independent sample means relative to the variability of the individual sample means?

Independent random samples from two populations with standard deviations σ1=2andσ2=8, respectively, are selected. The sample sizes and the sample means are recorded in the following table:

Sample 1

Sample 2

n1=58x¯1=17.5

n2=62x¯2=16.23

a. Calculate the standard error of the sampling distribution for Sample 1.

b. Calculate the standard error of the sampling distribution for Sample 2.

c. Suppose you were to calculate the difference between the sample means (x1x2). Find the mean and standard error of the sampling distribution (x1x2).

d. Will the statistic (x1x2) be normally distributed?

Is honey a cough remedy? Refer to the Archives of Pediatrics and Adolescent Medicine (Dec. 2007) study of honey as a children’s cough remedy, Exercise 8.23 (p. 470). The data (cough improvement scores) for the 33 children in the DM dosage group and the 35 children in the honey dosage group are reproduced in the table below. In Exercise 8.23, you used a comparison of two means to determine whether “honey may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection.” The researchers also want to know if the variability in coughing improvement scores differs for the two groups. Conduct the appropriate analysis, using α=0.10

Assume that σ12222. Calculate the pooled estimator σ2 for each of the following cases:

a.s12=120,s22=100,n1=n2=25

b.s12=12,s22=20,n1=20,n2=10

c.s12=.15,s22=.20,n1=6,n2=10

d.s12=3000,s22=2500,n1=16,n2=17

Note that the pooled estimate is a weighted average of the sample variances. To which of the variances does the pooled estimate fall nearer in each of the above cases?

See all solutions

Recommended explanations on Math 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.

Sign-up for free