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.