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Do the above-given problem according to the example pattern or method with the t

ID: 3298267 • Letter: D

Question

Do the above-given problem according to the example pattern or method with the terms like present worth etc.,

A company that manufactures automobile parts is weighting the possibility of investing in an FMC (Flexible Manufacturing Cell). This is a separate investment and not a replacement of the existing facility. Management desires a good estimate of the distribution characteristics for the AW. There are three random variables; i.e., they have uncertainties in their values An economic analyst is hired to estimate the desired parameter, AW. He concludes that the scenario presented to him is suitable for Monte Carlo simulation (method of statistical trials) because there are uncertainties in three variables and the direct analytical approach is virtually impossible The company has done a preliminary economic study of the situation and provided the analyst with the following estimates Investment Normally distributed with mean of $100,000 and standard deviation of $10,000 Uniformly distributed with minimum of 5 years and maximum of 15 years $20,000 (single outcome $20,000 probability 0.3 $16,000 probability 0.5 $22,000 probability 0.2 10% Useful Life Market value Annual net cash flow Interest rate All the elements subject to variation vary independently 1) Use Monte Carlo simulation to generate 2000 AW outcomes for the proposed FMC. 2) Find the Average AW and Number of Positive AW 3) Graph the results of analysis 4) Interpret the results

Explanation / Answer

RND

P

RN

N

N

R

A

AW

1.102

211020

131

6.31

6

4

16000

-34450.192

0.1482

201480

513

10.13

10

5

16000

-187803.796

2.372

223720

350

8.50

9

4

16000

-24837.792

-0.145

198550

904

14.04

14

7

16000

-12943.235

0.104

201040

440

9.40

9

9

22000

-14900.544

1.419

214190

107

6.07

6

4

16000

-35178.024

0.069

200690

507

10.07

10

5

16000

-18652.263

0.797

207970

782

12.82

13

6

16000

-15282.176

-0.393

196070

258

7.58

8

8

22000

-16743.518

-0.874

191260

504

10.04

10

3

16000

-17118.002

SUM

-208886.54

So, the estimate of AW based on 10 repetitions of the experiments is – 208886.54

[AW] =sqrt((AWi-E[W])2)/sqrt(K-1)

= 7992.784

if you will get even closer with more trials

RND

P

RN

N

N

R

A

AW

1.102

211020

131

6.31

6

4

16000

-34450.192

0.1482

201480

513

10.13

10

5

16000

-187803.796

2.372

223720

350

8.50

9

4

16000

-24837.792

-0.145

198550

904

14.04

14

7

16000

-12943.235

0.104

201040

440

9.40

9

9

22000

-14900.544

1.419

214190

107

6.07

6

4

16000

-35178.024

0.069

200690

507

10.07

10

5

16000

-18652.263

0.797

207970

782

12.82

13

6

16000

-15282.176

-0.393

196070

258

7.58

8

8

22000

-16743.518

-0.874

191260

504

10.04

10

3

16000

-17118.002

SUM

-208886.54

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