Loading...

Messages

Proposals

Stuck in your homework and missing deadline?

Get Urgent Help In Your Essays, Assignments, Homeworks, Dissertation, Thesis Or Coursework Writing

100% Plagiarism Free Writing - Free Turnitin Report - Professional And Experienced Writers - 24/7 Online Support

To compare the productivity in both situations when you are working efficiently (smart) and effectively (Hard)

Category: Education Paper Type: Assignment Writing Reference: APA Words: 1700

We have associations of two persons for this project. The first one is doing work in all conditions and the other one was estimating the by the stop watch. Everyone have to understand the three conditions as well as 10 times of every condition. From the three conditions everyone have various circumstances for paying the terms and for using the hands. All of we have to do this for getting the peg which is in the peg bin and then placed it in the hole of the board of peg.

Just as given below in this picture

                                       

Analysis

For these all task the condition were

There is filled peg board and in this every peg had keen to end or a blunt end

Three different work conditions are using here for the fulfillment of the peg board of :A,B and C

Each student have complete 10 test for every condition of the work as A,B and C

Condition of the Work A

 In the first step in which you can hold it for eight hours just prefer to use the insert one peg at that time. We have pretended it was paid by hour. In the chamfer whole the blunt end should be inserted and in the bin the peg were jumbled. At that time we move only one page and to the closet bin the pegs were implanted first into holes.

Condition of the Work B

It was totally likewise to condition A except we have pretended to be paid for the piece. To getting the paid for every imputed peg it was motivation. Actually this condition moves us to working hard.

Condition of the Work C

This condition is allows us to use the both hands as well as two bins. In the charm fared holes the peg was thought to be imputed by the end. In each bins to aligning it in the same directions the pins were sorted. The peg were imputed in both places firstly at the midpoint of the holes and then towards the bin which is working back. We have pretended it was paid by hour for this work. At this time we have improved our performance work smarter means efficiently.

The 60 test have been run totally in which 20 test for each work condition included. Sheet of paper have used for recording the results of the test. There is two people named Andreas and Hazem were involved in this all procedure from which Andres preferred his left hand while Hazem preferred his right hand for the first two work conditions.

Results study:

We have got these results from this experiments the work condition A is less effective. This condition of the work was referred to test inefficient and very slow. For work condition of A the time was very poorest or less. We must have to use only one hand to picking one peg at that time and we have paid  by hour for this procedure the motivations was very low. In this condition we have got a highest mean time of 60.3 seconds.

In the next test work condition B we have thought to have few more motivations and we have paid by the piece. We can make more in full day by assembling the more pieces. Instead of the fluctuations in the conditions it’s meant to us for working faster. If we will compare the results of condition A and B then condition B was enhanced, But if we calculate the C then we will get much better numbers. It means to work harder is not effective and the mean time for this condition was 47.65 seconds.

The third condition of work means work condition C is much efficient due to using the both hands and two bins and it was much easier for assembling the parts and aligning the pins in charm fair holes. We have also used the blunt ends of the peg which were very useful for it. Its results show the mean tome of 27.9 seconds. If we will compare the condition A&C then the work condition C have use less time than A. This thing shows when we have to increase our productivity in firm. It has done work smarter in different condition.

T-TEST:

For each condition the paired T-testy= was completed. These all conditions of work have compared with each other. The values p- is used to checking the difference between the samples. In p- value every test was resulted as 0. That’s why null hypothesis would be rejected

Pa=p b

Economic analysis

After conducting the T-test the economic test was calculated. The economic analysis helps us to save the money by working efficiently in any firm. According to the economic analysis the best work condition is C because it’s best choice for enhancing the productivity. It is also safest condition due to the smart work techniques.

We have set a scale of 60m/H

                                         8h/d

 

A

B

C

Time in seconds

60.3

47.65

27.9

Efficiency

100.00%

126.548%

216.129%

Pieces/h

59.77584

125.9181532

215.0537634

Pieces/day

478.2067

1007.345226

1720.430108

$/piece

0.250938

0.119125

0.06975

Table A: sheet with test results

The labor price per hour is constant at $15/day. Condition A will represent the condition were we started. Therefore work condition A will be measured as the starting point (100%). In Condition A, assembly costs per board is 0.251$ and we could assemble 59.8 pieces per hour. Condition B was slightly more efficiency, with a percentage that increased with 26.55%. When we compare the different calculations we can observe that condition B has a cost per board that is $0.12. The last condition is C. This is very interesting because the efficiency is 116.13% higher than work condition A.  When we calculated the result of how many pieces that was assembled per hour in condition C, we got 1720.4 Pieces/day. This will save the company a lot of money.  Condition B will save the company $15.82 per day compared to condition A, and condition C will save $21.74 per day compared to condition A.

 

Condition

Student

1

2

3

4

5

6

7

8

9

10

A

Andreas

0.59

0.56

1.14

1.12

1.06

1.11

1.11

1.08

1.06

1.11

A

Hazem

0.565

1.13

1.1

1.11

1.06

1.03

1.06

1.05

1.02

1.01

B

Andreas

0.49

0.53

0.57

0.53

0.46

0.45

0.52

0.53

0.48

0.42

B

Hazem

0.43

0.49

0.46

0.43

0.47

0.44

0.48

0.47

0.45

0.43

C

Andreas

0.29

0.28

0.3

0.28

0.26

0.24

0.24

0.23

0.27

0.24

C

Hazem

0.32

0.29

0.29

0.27

0.27

0.3

0.31

0.3

0.3

0.3

 

Standard deviation Test

Condition

Student

Average time min

Average both min

Standard deviation

Standard deviation both

A

Andreas

0.994

 

0.222421

 

A

Hazem

1.0135

1.00375

0.162447

0.189825924

B

Andreas

0.498

 

0.045898

 

B

Hazem

0.455

0.4765

0.022236

0.041457016

C

Andreas

0.263

 

0.024518

 

C

Hazem

0.295

0.279

0.015811

0.025935142

 

Costs and efficiency study

 

A

B

C

A=100%

60.3

47.65

27.9

Efficiency

100.00%

126.548%

216.129%

Pieces/h

59.7758406

125.9182

215.0537634

Pieces/day

478.2067248

1007.345

1720.430108

$/piece

0.2509375

0.119125

0.06975

Savings/day

0

15.8175

21.7425

Percentage difference

0

0.209784

0.537313433

 

Descriptive Analysis

Average of Condition A

Variable

N

N*

Mean

SE Mean

St Devi

minimum

01

Median

03

C1

20

0

1.0038

0.0424

0.1898

0.5600

1.0225

1.0600

1.1100

Variable C1: Maximum 1.1400

Average of Condition B

 

Variable

N

N*

Mean

SE Mean

St Devi

minimum

01

Median

03

B

20

0

0.47650

0.00927

0.04146

0.42000

0.44250

0.47000

0.51250

Variable b: Maximum 0.57000

Average of Condition C

Variable

N

N*

Mean

SE Mean

St Devi

minimum

01

Median

03

C

20

4

0.27900

0.00580

0.02594

0.23000

0.26250

0.28500

0.30000

 

 Variable C: Maximum 0.32000

 Paired T-Test Condition A vs. Condition B

 

 

N

Mean

St Dev

SE Mean

A

20

1.0038

0.1898

0.0424

B

20

0.4765

0.0415

0.0093

Differences

20

0.5273

0.1937

0.0433

 

Paired T-Test Condition B vs. Condition C

 

 

N

Mean

St Dev

SE Mean

B

20

0.4765

0.4146

0.00927

C

20

0.27900

0.02594

0.00580

Differences

20

0.1975

0.0514

0.0115

 

95% CI for mean difference: (0.1734, 0.2216)

T-Test of mean difference = 0 (vs not = 0): T-Value = 17.19  P-Value = 0.000

 Paired T-Test Condition A vs. Condition C

 

 

N

Mean

St Dev

SE Mean

B

20

1.0038

0.1898

0.0424

C

20

0.2790

0.0259

0.0058

Differences

20

0.7248

0.2005

0.0448

 

95% CI for mean difference: (0.6309, 0.8186)

T-Test of mean difference = 0 (vs not = 0): T-Value = 16.17  P-Value = 0.000

Conclusion of WORKING SMART NOT HARD

All test have been applied on the all three conditions and we have concluded from these conditions the work condition c is much better than the a because condition c is much efficient and we have did smart work in it whenever condition a requires hard work as well as it gives us better economic benefits. The condition C was 53% more effective than condition A.

We have calculated the economic analysis of all three conditions. Acoording the economic analysis we have paid $15 per hour to the worker and this test also shows that the condition C is more Efficient than the othert two conditions A & B. These analysis shows the condition C is most effective for the less cost and its faster from other two conditions. By enhancing the size of the hole for maintain the place of peg we can make more efficient to condition C. These peg can be organize in the bin peg so it cannot fall from your hands.

These all condition shows working smart is better than working hard. It can enhance the productivity of the firm.

Our Top Online Essay Writers.

Discuss your homework for free! Start chat

Math Exam Success

ONLINE

Math Exam Success

1239 Orders Completed

Best Coursework Help

ONLINE

Best Coursework Help

1554 Orders Completed

Top Grade Tutor

ONLINE

Top Grade Tutor

11445 Orders Completed