assigment to rewite these are 10 pages Reliable Assignment Help

  

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NEW_GoKart_report.pdf 

Its going to end up looking like this, basically 10 page or so research paper, but you just have to rewrite a different one. Is this ok? More details to follow. 

Thanks

it is due in next 30 hours.

my final budget is $40.

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Engineering a Go-Kart
Student Name
Date
Group #:
Team Member Names
Introduction
This is a team work which succeeded in designing an automated assembly line for the
manufacturing of go-karts. The whole project was conducted under a proper plan and each and
every member of the team did their best to make this project a success. Firstly, the team searched
for the requirements, possible constrains and the conditions that should be satisfied in this regard.
Thereafter comparing and contrasting the possible options, the team selected the optimal solution
out of the possible options for building the assembly line for Go-kart manufacturing. Moving on
from the blueprint to the real world we analyzed the pros and cons of implementing large scale
Go-kart production to meet economies of scale. At the end one of the best lessons that we could
learn was the effective ness and the efficiency that a team could achieve rather working
individually in certain problems.
Requirements
Our first step was to identify the functional and other requirements of the designing f the
automated assembly line. Therefore we categorized the requirements into three categories as
Functional, Performance and Cost/benefit requirement. They can be further explained as follows.
Functional:
 Assemble go-karts by using assembly robots
Performance:
 Assemble go-karts with minimizing assembly errors
 Demand Fulfillment
 Profit Maximization
Cost:
● Assemble Go-Karts at a rate that maximizes profit.
● Operate within the following cost constraints:
Page 1 of 14
○ Assembly line Leasing Facility @ $4000/month
○ Inventory Facility Lease @ $1000/month
○ 20kW/hr of Electrical Energy @ $0.20/kWh hour
○ Go-Kart handling related cost @ $1/go-kart
○ 75 parts in each Go-Kart @ $10/part
○ Assembly Robots @ $1,000,000/robot (can fit up 6)
○ Revenue of $1000/go-kart
To create an equation for monthly net profit we used the cost constraints shown above. Using
this equation, we were able to control variables (for example: inventory costs) and how the
system would be profitable.
Assume:
G = # of go-karts sold, R = Revenue per Go-Kart, P = Cost of Parts per Go-Kart, A = Assembly
Line Facility Costs, I = Inventory Facility Costs, E = Electrical Energy Costs, H = Handling
Costs,
N = Number of Hours that Assembly Line is Operated per Month, S = Fixed Monthly Setup
Cost
Details:
Assembly line facility month $ 4,000.00
Inventory facility /month
$ 1,000.00
Page 2 of 14
Handling cost per go-kart
$ 1.00
Number of hours operated/month
80
Profit per month
= R*G –E*N – H*G- P*G – A – I – S
= 1000G –0.2*4*20 – 1G – 750G – 4000 – 1000 – S
= 249G – 5016 –55,000 (if applicable)
Initial Inventory of the company
(Projected sales in units/month)
= 57140/12
=4762/month = 14192
First Year’s Profit: $13,672,668.00-(14,192*900) = $899,868
Using profit equation and given projected sales per month, first year annual profit of creating
assembly line process can be created.
Page 3 of 14
Month
Projected sales
Fixed setup fee ($)
Net profit ($)
January
6200
(55,000.00)
1,483,784.00
February
6200
(55,000.00)
1,483,784.00
March
6400

1,588,584.00
April
6300
(55,000.00)
1,508,684.00
May
6450
(55,000.00)
1,546,034.00
June
6250
(55,000.00)
1,496,234.00
July
6350

1,576,134.00
August
6450
(55,000.00)
1,546,034.00
September
6450
(55,000.00)
1,546,034.00
October
50
(55,000.00)
(47,566.00)
November
20
(55,000.00)
(55,036.00)
December
20

(36.00)
Total
57140
13,672,668.00
The following graph can help us see the data and accurately project for the future.
Page 4 of 14
Monthly Net Profit
2000000
1500000
P
r 1000000
o
f
i 500000
t
0
-500000
Month
The changing demand creates a initialization cost of $ 55,000.00 is necessary to change
the manufacturing equipment. This will be affected harmfully to October, November and
December month’s profits with the projected sales demand. Profit drops below zero (means loss
making).We can see it in the graph (In December worst loss making project).We are able to
overcome with this issue if we could remove (theoretically) the set-up fees and instead if we
could maintain constant production each month, at the cost of maintaining an inventory, our
profits might be higher. Which clearly shown by graph as fallow.
Page 5 of 14
Monthly Profit with constant production
2,000,000.00
1,500,000.00
profit
P
r 1,000,000.00
o
f
500,000.00
i
t
0.00
-500,000.00
Month
In this graph it is clearly indicate that negative figures have gone away with the constant
production. It is not enough to only figure out the revenue and profits of the project, we should
consider the investment done to fixed the assembly robots and how many robots were actually
need to run the operation smoothly.
Page 6 of 14
Number
Robots
of
Cost of Robots ($)
First
Year Months to Pay
Profit
Off
1
1,000,000.00
$394,868.00
9
2
2,000,000.00
($605,132.00)
13
3
3,000,000.00
($1,605,132.00) 14
4
4,000,000.00
($2,605,132.00) 15
5
5,000,000.00
($3,605,132.00) 16
6
6,000,000.00
($4,605,132.00) 16
This cost charts of robots shows when there is no other inventory that needs to purchase initially,
the robots get pay off after the first year. The desirable number of robots will change with the
actual manufacturing process and it depends.
It is needed to make more calculations to get convenient about number of robots and regards to
deciding the optimal manufacturing process.
We can use production capacity and projected sales demand to our calculations.
These metrics deal with the output and efficiency. (Throughput: -measured processing speed of
a machine expressed as total output in a unit period). This helps to manipulate manufacturing
process to meet the customer demand.
Average go-karts needed per month: 57140/12 = 4761.6666667
Throughput: 80/4761.6666667 = 59.5208333338
Cycle Time: 1/59.5208333338 = 0.01680084004
Karts Produced per Minute: 0.0168*60 = 1.008
Page 7 of 14
Karts Produced per hour: 1.008*60 = 60
With these information and calculations it is easy to concentrate and undertake the exact
manufacturing process. Now we are able to create a physical model of the go-kart.
System Model
With the different functions and according to the appearance we can separate go-kart to eight
pieces, in order to improve manufacturing process. Details about those pieces are mentioned
bellow.
Page 8 of 14
Production
Step Name
Description of Part
R1
Under_Carriage
Lowest piece of go-kart body
3
R2
Base
General structure of go-kart, minus all
25
Time(seconds)
functional machinery
R3
R1+R2
R4
Grille_Radiator
R5
R4+R3
R6
Steering_Column
R7
R5+R6
R8
Front End
2
Front of car
26
5
Holds steering wheel, attaches to base
6
3
Windshield and pieces surrounding
50
driver area
R9
R7+R8
R10 Exhaust Rear End
5
Exhaust assembly
R11 R9+R10
R12 Engine
40
3
Part of engine closest to driver
R13 R11+R12
15
3
R14 Engine 2
Part of engine furthest from driver
20
R15 R13+R14
Finished product
4
Page 9 of 14
It is possible to do partitioning for this assembly line manufacturing process using different
numbers of robots with the different allocated tasks to each machine of robots. Partition work is
shown below.
Robot 3
Robot 1
R10
Robot 4
R14
R1
R2
R12
R3
R4
R5
R7
R6
Robot 2
R9
R8
R11
R13
R15
ROBO
T1
ROBOT
1
Page 10 of 14
By this partitioning robots can share the work at several times. The effort to perform by listing times
required for each step and grouping them to create an equal distribution is indicating by black boxes
partitioning. If the robot cannot continue it’s working until another robot finishes its task, which
means waiting time can be occurred. The red color partition boxes which was created random
selection, turned out to be more efficient and preventing wait time. The waiting time is an issue in the
partition made of black boxes and partition made of red boxes can be bearable that.
But the selection is not repeatable in random selection and therefore future efficient of engineering
ventures might be a risk. So the future work must be done in creating reconsidered efficient
processes.
Analysis
When we began to make more efficient of our manufacturing process, we could analyzed the
efficiency of the two possible partitions. The time spent on working was constant between the two
partitions. Based on that efficiency formula was ratio of time spent working to total time required to
make the product. Efficiency is ultimately determined the total cycle time.
The formula is shown below.
Efficiency = Total time of working / (Cycle time * number of robots)
First partition: 210 / (65*4) = 0.807 Second partition: 210 / (110*2) = 0.955
Based on efficiency, the second partition was better because it maximized use of the robots’ time.
Implementation
The complete go-kart is made up a number of parts that assembly together to make everything work.
Each of these parts has to be carefully assembled. It not only accomplishes the task, but also
integrates into the larger manufacturing process to meet the consumer demand.
In order to build the go-kart correctly, the assembly needed to manipulate as follows:
Page 11 of 14
Production
Step Name
Description of Part
R1
Undercarriage
Lowest piece of go-kart body
3
R2
Base
General structure of go-kart, minus all
25
Time(seconds)
functional machinery
R3
R1+R2
R4
Grille Radiator
R5
R4+R3
R6
Steering Column
R7
R5+R6
R8
Front End
2
Front of car
26
5
Holds steering wheel, attaches to base
6
3
Windshield and pieces surrounding
50
driver area
R9
R7+R8
R10 Exhaust Rear End
5
Exhaust assembly
R11 R9+R10
R12 Engine
40
3
Part of engine closest to driver
R13 R11+R12
15
3
R14 Engine 2
Part of engine furthest from driver
20
R15 R13+R14
Finished product
4
Page 12 of 14
Measured Performance
It will take about 25 minutes to another lab group who are attempted to build our model
using the set of instructions. Comparing to that time we took 2 minutes and 30 seconds only.
This considerable time difference can be explained by different factor:

We had solid past experience in the construction, which translated into quicker
construction times and our team timed each step very carefully.
With the time comparison it is important to focus about the necessity of simple instructions.
Additionally it important that the learning curve effect has also been eliminated due to this
automation. Further it will be a great advantage for the business.
Conclusion
The framework of doing such an engineering process might be more accurate than to the
actual process. Flexibility of make this project possible will be depends on the many different
aspects such as project cost involving and how to achieve the goals initially as well as over the
time with innovative techniques by different various technologies.
It is the responsibility of each one in my team to meet the deadline and requirements. It is
also the team responsibility to stay within the spirit and intent to rules given with minimal
doubts. From this work I have learned how to achieve our set of goals as a team and how to
drive the team to success and I would like to express my deepest appreciation for my team and
those who helped us to make this lab work success. Without their support and assistance this
work would not be completed as it is.
Page 13 of 14

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